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Jing Hua Zhao

Jing Hua Zhao

University of Cambridge
United Kingdom

Last Updated:

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Genetics
UK
2024

D-Index & Metrics

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Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Medicine 128 2659 2480 275 266 281 78445
Genetics 128 273 263 51 50 281 78442

Jing Hua Zhao publications per year

The chart shows the history of publications by Jing Hua Zhao between 1997 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jing Hua Zhao published across 30 years, from 1997 to 2026, averaging 10.1 papers a year. Output peaked at 26 publications in 2010. 2 of the 303 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1997 to 2026. Vertical axis: number of publications, 0 to 26. Peak 26 publications in 2010. 1997: 3 publications 1998: 6 publications 1999: 4 publications 2000: 15 publications 2001: 5 publications 2002: 3 publications 2003: 1 publication 2004: 5 publications 2005: 9 publications 2006: 3 publications 2007: 4 publications 2008: 8 publications 2009: 8 publications 2010: 26 publications 2011: 21 publications 2012: 22 publications 2013: 23 publications 2014: 16 publications 2015: 18 publications 2016: 19 publications 2017: 22 publications 2018: 18 publications 2019: 20 publications 2020: 7 publications 2021: 9 publications 2022: 0 publications 2023: 4 publications 2024: 2 publications 2025: 1 publication 2026: 1 publication
1997 2026

303 publications in total across all disciplines

View publications per year as a table
Jing Hua Zhao: publications per year, 1997 to 2026
Year Publications
1997 3
1998 6
1999 4
2000 15
2001 5
2002 3
2003 1
2004 5
2005 9
2006 3
2007 4
2008 8
2009 8
2010 26
2011 21
2012 22
2013 23
2014 16
2015 18
2016 19
2017 22
2018 18
2019 20
2020 7
2021 9
2022 0
2023 4
2024 2
2025 1
2026 1
Total 303
Download as CSV

Jing Hua Zhao publications per year - data summary

  • Jing Hua Zhao, a Genetics scholar from University of Cambridge, has 303 publications recorded across 30 years, from 1997 to 2026.
  • The oldest publication on record dates to 1997 and the most recent to 2026.
  • The most productive year is 2010, with 26 publications.
  • The least productive years with any output are 2003, 2025 and 2026, with 1 publication each.
  • 1 of the 30 years in the span carries no publications at all (2022).
  • The rate of publication averages 10.1 papers per year over the whole span, or 10.4 per year counting only the 29 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 8 publications, 3% of the career total.
  • Split into equal eras - 1997-2006: 54 publications (5.4 per year); 2007-2016: 165 publications (16.5 per year); 2017-2026: 84 publications (8.4 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Jing Hua Zhao publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Jing Hua Zhao sits on this spectrum.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 275–284 publications, is where this scientist sits. 45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45–54 publications 703+

This scientist: 281 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188
165–174 170
175–184 178
185–194 164
195–204 173
205–214 159
215–224 134
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88
275–284 87 281
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
Download as CSV

Jing Hua Zhao publication distribution in Genetics in 2026 - data summary

  • The chart plots the publication count of all 4,342 Genetics scientists ranked by Research.com in 2026, grouped into 67 ranges running from 45–54 to 703+ publications.
  • Jing Hua Zhao, a Genetics scholar from University of Cambridge, records 281 publications - the 73rd percentile of the discipline.
  • 73% of ranked Genetics scientists score the same or lower than Jing Hua Zhao, and about 27% score higher.
  • The median of the discipline falls in the 195–204 publications range, and Jing Hua Zhao ranks above the median.
  • The most crowded range is 125–134 publications, holding 217 scientists (5% of the field).
  • 56% of the field sits in the lowest quarter of the value range (up to 205–214 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 703 publications or more, 100 scientists in all (2% of the field).

Jing Hua Zhao D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Jing Hua Zhao sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 128–129 D-Index, is where this scientist sits. 40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40–41 D-Index 160+

This scientist: 128 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191
64–65 172
66–67 184
68–69 164
70–71 158
72–73 150
74–75 136
76–77 127
78–79 127
80–81 111
82–83 110
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22 128
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
Download as CSV

Jing Hua Zhao D-index placement in Genetics in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 4,342 Genetics scientists ranked by Research.com in 2026, grouped into 61 ranges running from 40–41 to 160+ D-Index.
  • Jing Hua Zhao, a Genetics scholar from University of Cambridge, records 128 D-Index - the 94th percentile of the discipline.
  • 94% of ranked Genetics scientists score the same or lower than Jing Hua Zhao, and about 6% score higher.
  • The median of the discipline falls in the 70–71 D-Index range, and Jing Hua Zhao ranks above the median.
  • The most crowded range is 62–63 D-Index, holding 191 scientists (4% of the field).
  • 51% of the field sits in the lowest quarter of the value range (up to 70–71 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 160 D-Index or more, 96 scientists in all (2% of the field).

Research.com Recognitions

  • 2024 - Research.com Genetics in United Kingdom Leader Award
  • 2023 - Research.com Genetics in United Kingdom Leader Award

Overview

Jing Hua Zhao is affiliated with the University of Cambridge in the United Kingdom. Their research spans the fields of biochemistry, genetics, and molecular biology, with significant contributions also in medicine. The scientist's work addresses several important subfields, including genetics, molecular biology, immunology, infectious diseases, and cardiology and cardiovascular medicine.

The main topics of their research include:

  • Genetic associations and epidemiology
  • Inflammasome and immune disorders
  • Interferon and immune responses
  • COVID-19 clinical research studies
  • SARS-CoV-2 and COVID-19 research
  • Bioinformatics and genomic networks
  • Cancer-related molecular mechanisms research

The scientist has published extensively, with notable recent papers including:

  • Genetics of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and therapeutic targets, 2023, Nature Immunology
  • Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19, 2021, Nature Medicine
  • Genetic insights into resting heart rate and its role in cardiovascular disease, 2023, Nature Communications
  • Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Author Correction: Genetics of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and therapeutic targets, 2023, Nature Immunology

The venues where their work is frequently published include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Immunology
  • UNC Libraries
  • Nature Medicine
  • Nature Communications

The scientist collaborates regularly with several coauthors, including:

  • John Danesh
  • Adam S. Butterworth
  • Caroline Hayward
  • James E. Peters
  • Claudia Langenberg

Best Publications

  • Biological, clinical and population relevance of 95 loci for blood lipids

    Tanya M. Teslovich;Kiran Musunuru;Albert V. Smith;Andrew C. Edmondson

  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda

  • Discovery and refinement of loci associated with lipid levels

    Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso

  • Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

    James J. Lee;Robbee Wedow;Aysu Okbay;Edward Kong

  • New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

    Josée Dupuis;Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena;Richa Saxena

  • Hundreds of variants clustered in genomic loci and biological pathways affect human height

    Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt

  • Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

    Georg B. Ehret;Georg B. Ehret;Georg B. Ehret;Patricia B. Munroe;Kenneth M. Rice;Murielle Bochud

  • Defining the role of common variation in the genomic and biological architecture of adult human height

    Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam

  • New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (vol 42, pg 105, 2010)

    J Dupuis;C Langenberg;I Prokopenko;R Saxena

  • Six new loci associated with body mass index highlight a neuronal influence on body weight regulation

    Cristen J. Willer;Elizabeth K. Speliotes;Elizabeth K. Speliotes;Ruth J. F. Loos;Shengxu Li

  • A genome-wide association search for type 2 diabetes genes in African Americans.

    N D Palmer;C W McDonough;P J Hicks;B H Roh

  • Genetic studies of body mass index yield new insights for obesity biology

    Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice

  • Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.

    Evangelos Evangelou;Evangelos Evangelou;Helen R. Warren;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsud

  • Genome-wide association study identifies eight loci associated with blood pressure

    Christopher Newton-Cheh;Christopher Newton-Cheh;Toby Johnson;Toby Johnson;Vesela Gateva;Martin D. Tobin

  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    E. K. Speliotes;C. J. Willer;S. I. Berndt;K. L. Monda

  • Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

    Mary F. Feitosa;Aldi T. Kraja;Daniel I. Chasman;Yun J. Sung

  • Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution

    Iris M. Heid;Anne U. Jackson;Joshua C. Randall;Tthomas W. Winkler

  • Common variants associated with plasma triglycerides and risk for coronary artery disease

    Ron Do;Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta

  • Erratum: New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (Nature Genetics (2010) 42 (105-116))

    Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena

  • Hundreds of variants clustered in genomic loci and biological pathways affect human height

    H. Lango Allen;K. Estrada;G. Lettre;S. I. Berndt

Frequent Co-Authors

Nicholas J. Wareham
Nicholas J. Wareham University of Cambridge
Ruth J. F. Loos
Ruth J. F. Loos University of Copenhagen
Jian'an Luan
Jian'an Luan University of Cambridge
Igor Rudan
Igor Rudan University of Edinburgh
André G. Uitterlinden
André G. Uitterlinden Erasmus University Rotterdam
Caroline Hayward
Caroline Hayward University of Edinburgh
Marjo-Riitta Järvelin
Marjo-Riitta Järvelin Imperial College London
Tonu Esko
Tonu Esko University of Tartu
Zoltán Kutalik
Zoltán Kutalik University of Lausanne
Markus Perola
Markus Perola Finnish Institute for Health and Welfare

External Links

Personal website of Jing Hua Zhao

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Related Online Degrees & Career Pathways

Studying Genetics in the USA can open the door to a variety of fulfilling career paths in healthcare, research, and technology. However, not everyone is looking for a traditional laboratory or research role. There are diverse online degree options that support careers closely related to genetics and healthcare.

For those interested in the administrative side of healthcare, pursuing an online healthcare degree can provide flexibility and valuable skills relevant to clinical settings. If affordability is a concern, there are options for the cheapest online healthcare administration degree programs, making this pathway more accessible.

If you prefer direct patient care, some nursing schools with high acceptance rates offer an easier entry into the field, helping you pivot to or from genetics-related expertise. Alternatively, a medical billing and coding certification can be completed online and offers another important role in supporting healthcare services, including genetic clinics.

These diverse education and career paths empower students and professionals to find the niche that matches their interests, whether in genetics, patient care, or healthcare administration.

Best Scientists Citing Jing Hua Zhao

Mark I. McCarthy

Mark I. McCarthy

Genentech

Publications: 361

George Davey Smith

George Davey Smith

University of Bristol

Publications: 332

Eric Boerwinkle

Eric Boerwinkle

The University of Texas Health Science Center at Houston

Publications: 288

André G. Uitterlinden

André G. Uitterlinden

Erasmus University Rotterdam

Publications: 281

Bruce M. Psaty

Bruce M. Psaty

University of Washington

Publications: 262

Albert Hofman

Albert Hofman

Harvard University

Publications: 253

Jerome I. Rotter

Jerome I. Rotter

UCLA Medical Center

Publications: 244

Olli T. Raitakari

Olli T. Raitakari

Turku University Hospital

Publications: 244

Kari Stefansson

Kari Stefansson

deCODE Genetics (Iceland)

Publications: 238

Joel N. Hirschhorn

Joel N. Hirschhorn

Boston Children's Hospital

Publications: 225

Erik Ingelsson

Erik Ingelsson

Stanford University

Publications: 220

Ruth J. F. Loos

Ruth J. F. Loos

University of Copenhagen

Publications: 220

Paul W. Franks

Paul W. Franks

Lund University

Publications: 217

Jaakko Kaprio

Jaakko Kaprio

University of Helsinki

Publications: 215

Sekar Kathiresan

Sekar Kathiresan

Harvard University

Publications: 215

Torben Hansen

Torben Hansen

University of Copenhagen

Publications: 203

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