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Xiuqing Guo

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Medicine 106 6448 6067 3428 3180 418 47961
Genetics 106 598 569 299 283 403 47497

Xiuqing Guo publications per year

The chart shows the history of publications by Xiuqing Guo between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xiuqing Guo published across 26 years, from 2000 to 2025, averaging 24.9 papers a year. Output peaked at 66 publications in 2023. 107 of the 648 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 66. Peak 66 publications in 2023. 2000: 1 publication 2001: 3 publications 2002: 2 publications 2003: 6 publications 2004: 6 publications 2005: 7 publications 2006: 2 publications 2007: 10 publications 2008: 12 publications 2009: 8 publications 2010: 13 publications 2011: 20 publications 2012: 13 publications 2013: 24 publications 2014: 15 publications 2015: 24 publications 2016: 32 publications 2017: 42 publications 2018: 42 publications 2019: 54 publications 2020: 38 publications 2021: 49 publications 2022: 52 publications 2023: 66 publications 2024: 55 publications 2025: 52 publications
2000 2025

648 publications in total across all disciplines

View publications per year as a table
Xiuqing Guo: publications per year, 2000 to 2025
Year Publications
2000 1
2001 3
2002 2
2003 6
2004 6
2005 7
2006 2
2007 10
2008 12
2009 8
2010 13
2011 20
2012 13
2013 24
2014 15
2015 24
2016 32
2017 42
2018 42
2019 54
2020 38
2021 49
2022 52
2023 66
2024 55
2025 52
Total 648
Download as CSV

Xiuqing Guo 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 Xiuqing Guo 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, 395–404 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: 403 publications — 88th percentile

88% 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
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 27 403
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

Xiuqing Guo 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 Xiuqing Guo 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, 106–107 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: 106 D-Index — 87th percentile

87% 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 42 106
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
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

Overview

Xiuqing Guo is affiliated with the Lundquist Institute in the United States. Their research primarily spans the fields of biochemistry, genetics, and molecular biology, with significant contributions also in medicine. Their work encompasses a broad range of subfields including genetics, molecular biology, cardiology and cardiovascular medicine, physiology, and epidemiology.

The scientist's recent publications reflect a focus on large-scale genetic studies and biomedical applications. Notable papers include:

  • "Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program," 2021, published in Nature
  • "Inherited causes of clonal haematopoiesis in 97,691 whole genomes," 2020, published in Nature
  • "Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation," 2022, published in Nature Genetics
  • "Predictors of mortality in hospitalized COVID-19 patients: A systematic review and meta-analysis," 2020, published in Journal of Medical Virology
  • "Genetic diversity fuels gene discovery for tobacco and alcohol use," 2022, published in Nature

The frequent co-authors collaborating with Xiuqing Guo include Jerome I. Rotter, Stephen S. Rich, Kent D. Taylor, Bruce M. Psaty, and Eric Boerwinkle. These partnerships highlight ongoing collaboration within genetics and cardiovascular research communities.

In terms of publication venues, Xiuqing Guo has extensively published in:

  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Genetics
  • Nature Communications
  • Journal of the American College of Cardiology

The main topics of research associated with Xiuqing Guo cover:

  • Genetic Associations and Epidemiology
  • Epigenetics and DNA Methylation
  • Bioinformatics and Genomic Networks
  • Genomics and Rare Diseases
  • Liver Disease Diagnosis and Treatment
  • RNA modifications and cancer
  • Birth, Development, and Health

This body of work reflects a multidisciplinary approach, integrating genetic epidemiology with molecular biology techniques to address complex traits and diseases.

Best Publications

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

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

  • 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

  • Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.

    Daniel Taliun;Daniel N. Harris;Michael D. Kessler;Jedidiah Carlson;Jedidiah Carlson

  • Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.

    Anubha Mahajan;Daniel Taliun;Matthias Thurner;Neil R. Robertson

  • Genome-wide association study of blood pressure and hypertension

    Daniel Levy;Georg B. Ehret;Georg B. Ehret;Kenneth Rice;Germaine C. Verwoert

  • 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

  • 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

  • Genetic and Pharmacologic Inactivation of ANGPTL3 and Cardiovascular Disease

    Frederick E Dewey;Viktoria Gusarova;Richard L Dunbar;Colm T O'Dushlaine

  • The trans-ancestral genomic architecture of glycemic traits

    Ji Chen;Ji Chen;Cassandra N. Spracklen;Cassandra N. Spracklen;Gaëlle Marenne;Gaëlle Marenne;Arushi Varshney

  • Multi-Ethnic Genome-wide Association Study for Atrial Fibrillation

    Carolina Roselli;Mark D. Chaffin;Lu Chen Weng;Lu Chen Weng;Stefanie Aeschbacher

  • Inherited causes of clonal haematopoiesis in 97,691 whole genomes.

    Alexander G Bick;Joshua S Weinstock;Satish K Nandakumar;Satish K Nandakumar;Charles P Fulco;Charles P Fulco

  • Predictors of mortality in hospitalized COVID-19 patients: A systematic review and meta-analysis.

    Wenjie Tian;Wenjie Tian;Wanlin Jiang;Jie Yao;Jie Yao;Christopher J. Nicholson

  • Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals

    Z Dastani;Hivert M-F.;Hivert M-F.;N Timpson;Perry Jrb.;Perry Jrb.

  • Meta-analysis of genome-wide association studies in >80,000 subjects identifies multiple loci for C-reactive protein levels

    Abbas Dehghan;Josée Dupuis;Josée Dupuis;Maja Barbalic;Joshua C. Bis

  • Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

    Cristian Pattaro;Alexander Teumer;Mathias Gorski;Audrey Y. Chu

  • Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure

    Louise V. Wain;Germaine C. Verwoert;Paul F. O'Reilly;Gang Shi

  • Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

    Daniel Taliun;Daniel N. Harris;Michael D. Kessler;Jedidiah Carlson;Jedidiah Carlson

  • Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair

    Felix R. Day;Katherine S. Ruth;Deborah J Thompson;Kathryn L. Lunetta

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

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

  • Meta-Analysis of Genome-Wide Association Studies in > 80 000 Subjects Identifies Multiple Loci for C-Reactive Protein Levels

    Abbas Dehghan;Josee Dupuis;Maja Barbalic;Joshua C. Bis

Frequent Co-Authors

Jerome I. Rotter
Jerome I. Rotter UCLA Medical Center
Kent D. Taylor
Kent D. Taylor David Geffen School of Medicine at UCLA
Bruce M. Psaty
Bruce M. Psaty University of Washington
Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston
yiider ida chen
yiider ida chen UCLA Medical Center
Daniel I. Chasman
Daniel I. Chasman Brigham and Women's Hospital
Paul M. Ridker
Paul M. Ridker Brigham and Women's Hospital
Ruth J. F. Loos
Ruth J. F. Loos University of Copenhagen
Mark O. Goodarzi
Mark O. Goodarzi Cedars-Sinai Medical Center
Albert V. Smith
Albert V. Smith University of Michigan–Ann Arbor

External Links

Personal website of Xiuqing Guo

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Related Online Degrees & Career Pathways

For students interested in Genetics, various online degrees and healthcare career options can provide valuable skills and open diverse pathways. Many programs now offer accelerated and flexible learning, making it easier to advance your career while managing other commitments.

Those aiming to transition from nursing to administrative or laboratory roles might explore an rn to bsn online program, which can deepen clinical understanding without extensive on-site requirements. For advanced nursing positions, a 12 month dnp program online enables fast-tracked doctoral study, while those seeking less intensive options can find dnp programs that are both accessible and flexible.

If the goal is a quicker entry point into the medical field, an accelerated ma program can prepare you for medical assistant roles in as few as six weeks. These online pathways allow you to tailor your education to your needs and interests while building a strong foundation for future work in genetics or healthcare.

Best Scientists Citing Xiuqing Guo

Eric Boerwinkle

Eric Boerwinkle

The University of Texas Health Science Center at Houston

Publications: 219

Mark I. McCarthy

Mark I. McCarthy

Genentech

Publications: 212

Sekar Kathiresan

Sekar Kathiresan

Harvard University

Publications: 198

Bruce M. Psaty

Bruce M. Psaty

University of Washington

Publications: 193

Jerome I. Rotter

Jerome I. Rotter

UCLA Medical Center

Publications: 188

André G. Uitterlinden

André G. Uitterlinden

Erasmus University Rotterdam

Publications: 163

Kari Stefansson

Kari Stefansson

deCODE Genetics (Iceland)

Publications: 156

Albert Hofman

Albert Hofman

Harvard University

Publications: 153

Nilesh J. Samani

Nilesh J. Samani

University of Leicester

Publications: 149

Olli T. Raitakari

Olli T. Raitakari

Turku University Hospital

Publications: 140

Erik Ingelsson

Erik Ingelsson

Stanford University

Publications: 138

Markus Perola

Markus Perola

Finnish Institute for Health and Welfare

Publications: 134

Daniel J. Rader

Daniel J. Rader

University of Pennsylvania

Publications: 129

Ruth J. F. Loos

Ruth J. F. Loos

University of Copenhagen

Publications: 125

Samuli Ripatti

Samuli Ripatti

University of Helsinki

Publications: 125

Christopher J. O'Donnell

Christopher J. O'Donnell

Harvard Medical School

Publications: 123

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