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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 70 2233 2121 1006 944 154 32745

Hua Tang publications per year

The chart shows the history of publications by Hua Tang between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hua Tang published across 27 years, from 1999 to 2025, averaging 7.7 papers a year. Output peaked at 20 publications in 2021. 16 of the 207 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2021. 1999: 1 publication 2000: 0 publications 2001: 0 publications 2002: 2 publications 2003: 5 publications 2004: 0 publications 2005: 8 publications 2006: 8 publications 2007: 8 publications 2008: 5 publications 2009: 9 publications 2010: 6 publications 2011: 2 publications 2012: 13 publications 2013: 10 publications 2014: 7 publications 2015: 6 publications 2016: 3 publications 2017: 15 publications 2018: 14 publications 2019: 13 publications 2020: 15 publications 2021: 20 publications 2022: 12 publications 2023: 9 publications 2024: 8 publications 2025: 8 publications
1999 2025

207 publications in total across all disciplines

View publications per year as a table
Hua Tang: publications per year, 1999 to 2025
Year Publications
1999 1
2000 0
2001 0
2002 2
2003 5
2004 0
2005 8
2006 8
2007 8
2008 5
2009 9
2010 6
2011 2
2012 13
2013 10
2014 7
2015 6
2016 3
2017 15
2018 14
2019 13
2020 15
2021 20
2022 12
2023 9
2024 8
2025 8
Total 207
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Hua Tang 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 Hua Tang 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, 145–154 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: 154 publications — 32nd percentile

32% 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
145–154 193 154
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
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
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Hua Tang 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 Hua Tang 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, 70–71 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: 70 D-Index — 49th percentile

49% 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 70
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
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
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Overview

Hua Tang is affiliated with Stanford University in the United States. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, with a substantial focus on Medicine. Within these broad fields, their work further specializes in subfields such as Genetics, Molecular Biology, Hematology, Cancer Research, and Food Science.

The scientist has contributed extensively to topics including Genetic Associations and Epidemiology, Genetic and phenotypic traits in livestock, Epigenetics and DNA Methylation, RNA Research and Splicing, Bioinformatics and Genomic Networks, RNA modifications and cancer, and Gene expression and cancer classification.

Hua Tang has published numerous papers, notably in key venues such as bioRxiv (Cold Spring Harbor Laboratory), Nature Communications, The American Journal of Human Genetics, PLoS Genetics, and Cell. Their recent publications include the following:

  • The Polygenic and Monogenic Basis of Blood Traits and Diseases, 2020, Cell
  • Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations, 2020, Cell
  • Large-scale genome-wide association study of coronary artery disease in genetically diverse populations, 2022, Nature Medicine
  • Transcriptome variation in human tissues revealed by long-read sequencing, 2022, Nature
  • Genomics and phenomics of body mass index reveals a complex disease network, 2022, Nature Communications

Their research collaborations include frequent co-authorship with other scientists such as Ruth J. F. Loos, Laura M. Raffield, Stephen S. Rich, Nathan Pankratz, and Michael Preuß.

The scientist's work has appeared most often in bioRxiv with 16 publications, followed by Nature Communications with 5 publications. Other significant publication venues include The American Journal of Human Genetics, PLoS Genetics, and Cell.

Best Publications

  • The GTEx Consortium atlas of genetic regulatory effects across human tissues

    F Aguet;AN Barbeira;R Bonazzola;A Brown

  • Worldwide human relationships inferred from genome-wide patterns of variation.

    Jun Z. Li;Devin M. Absher;Hua Tang;Audrey M. Southwick

  • Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes

    Rui Chen;George I. Mias;Jennifer Li-Pook-Than;Lihua Jiang

  • The importance of race and ethnic background in biomedical research and clinical practice.

    Esteban González Burchard;Elad Ziv;Natasha Coyle;Scarlett Lin Gomez

  • Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics.

    Alvaro N. Barbeira;Scott P. Dickinson;Rodrigo Bonazzola;Jiamao Zheng

  • 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

  • Categorization of humans in biomedical research: genes, race and disease

    Neil Risch;Neil Risch;Esteban Burchard;Elad Ziv;Hua Tang

  • Estimation of individual admixture: Analytical and study design considerations

    Hua Tang;Jie Peng;Pei Wang;Neil J. Risch;Neil J. Risch

  • The polygenic and monogenic basis of blood traits and diseases

    Dragana Vuckovic;Erik L. Bao;Parsa Akbari;Caleb A. Lareau

  • Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.

    Ming-Huei Chen;Laura M Raffield;Abdou Mousas;Saori Sakaue

  • Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program.

    Derek Klarin;Derek Klarin;Scott M Damrauer;Scott M Damrauer;Kelly Cho;Yan V Sun

  • Genetic Structure, Self-Identified Race/Ethnicity, and Confounding in Case-Control Association Studies

    Hua Tang;Tom Quertermous;Beatriz Rodriguez;Sharon L.R. Kardia

  • Exome-wide association study of plasma lipids in > 300,000 individuals

    Dajiang J Liu;Gina M Peloso;Gina M Peloso;Haojie Yu;Adam S Butterworth;Adam S Butterworth

  • Molecular and Evolutionary History of Melanism in North American Gray Wolves

    Tovi M. Anderson;Bridgett M. vonHoldt;Sophie I. Candille;Marco Musiani

  • Variation and genetic control of protein abundance in humans

    Linfeng Wu;Sophie I. Candille;Yoonha Choi;Dan Xie

  • Admixture mapping for hypertension loci with genome-scan markers.

    Xiaofeng Zhu;Amy Luke;Richard S Cooper;Tom Quertermous

  • Reconstructing Genetic Ancestry Blocks in Admixed Individuals

    Hua Tang;Marc Coram;Pei Wang;Xiaofeng Zhu

  • Characterizing Race/Ethnicity and Genetic Ancestry for 100,000 Subjects in the Genetic Epidemiology Research on Adult Health and Aging (GERA) Cohort

    Yambazi Banda;Mark N. Kvale;Thomas J. Hoffmann;Stephanie E. Hesselson

  • Modeling 3D facial shape from DNA

    Peter Claes;Denise K. Liberton;Katleen Daniels;Kerri Matthes Rosana

  • The Polygenic and Monogenic Basis of Blood Traits and Diseases

    Dragana Vuckovic;Dragana Vuckovic;Erik L. Bao;Erik L. Bao;Parsa Akbari;Caleb A. Lareau;Caleb A. Lareau

Frequent Co-Authors

Neil Risch
Neil Risch University of California, San Francisco
Alexander P. Reiner
Alexander P. Reiner University of Washington
Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston
Bruce M. Psaty
Bruce M. Psaty University of Washington
Charles Kooperberg
Charles Kooperberg Fred Hutchinson Cancer Research Center
Ruth J. F. Loos
Ruth J. F. Loos University of Copenhagen
Lisa R. Yanek
Lisa R. Yanek Johns Hopkins University School of Medicine
Myriam Fornage
Myriam Fornage The University of Texas Health Science Center at Houston
Sharon L.R. Kardia
Sharon L.R. Kardia University of Michigan–Ann Arbor
Jerome I. Rotter
Jerome I. Rotter UCLA Medical Center

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