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2025
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Genetics
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2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Best Scientists 207 223 209 146 136 901 191135
Genetics 212 18 18 12 12 830 201748

Michael Snyder publications per year

The chart shows the history of publications by Michael Snyder between 1978 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Michael Snyder published across 48 years, from 1978 to 2025, averaging 27.2 papers a year. Output peaked at 247 publications in 2022. 102 of the 1,304 publications appeared in the last two years.

No. of publications
50 100 150 200
Bar chart. Horizontal axis: year, 1978 to 2025. Vertical axis: number of publications, 0 to 247. Peak 247 publications in 2022. 1978: 1 publication 1979: 1 publication 1980: 1 publication 1981: 2 publications 1982: 2 publications 1983: 1 publication 1984: 0 publications 1985: 3 publications 1986: 2 publications 1987: 1 publication 1988: 3 publications 1989: 3 publications 1990: 1 publication 1991: 4 publications 1992: 9 publications 1993: 6 publications 1994: 6 publications 1995: 2 publications 1996: 4 publications 1997: 5 publications 1998: 8 publications 1999: 9 publications 2000: 17 publications 2001: 14 publications 2002: 27 publications 2003: 18 publications 2004: 17 publications 2005: 14 publications 2006: 28 publications 2007: 30 publications 2008: 17 publications 2009: 28 publications 2010: 28 publications 2011: 52 publications 2012: 40 publications 2013: 47 publications 2014: 48 publications 2015: 46 publications 2016: 46 publications 2017: 52 publications 2018: 52 publications 2019: 59 publications 2020: 61 publications 2021: 84 publications 2022: 247 publications 2023: 56 publications 2024: 60 publications 2025: 42 publications
1978 2025

1,304 publications in total across all disciplines

View publications per year as a table
Michael Snyder: publications per year, 1978 to 2025
Year Publications
1978 1
1979 1
1980 1
1981 2
1982 2
1983 1
1984 0
1985 3
1986 2
1987 1
1988 3
1989 3
1990 1
1991 4
1992 9
1993 6
1994 6
1995 2
1996 4
1997 5
1998 8
1999 9
2000 17
2001 14
2002 27
2003 18
2004 17
2005 14
2006 28
2007 30
2008 17
2009 28
2010 28
2011 52
2012 40
2013 47
2014 48
2015 46
2016 46
2017 52
2018 52
2019 59
2020 61
2021 84
2022 247
2023 56
2024 60
2025 42
Total 1,304
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Michael Snyder 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 Michael Snyder 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, 703+ 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: 830 publications — 99th percentile

99% 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
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+ 100 830
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Michael Snyder 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 Michael Snyder 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, 160+ 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: 212 D-Index — 100th percentile

100% 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
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+ 96 212
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Research.com Recognitions

  • 2026 - Research.com Genetics in United States Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Genetics in United States Leader Award
  • 2024 - Research.com Genetics in United States Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in United States Leader Award
  • 2023 - Research.com Genetics in United States Leader Award
  • 2015 - Fellow of the American Academy of Arts and Sciences
  • 2014 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Michael Snyder is affiliated with Stanford University in the United States. Their research spans multiple domains within biochemistry, genetics, molecular biology, and medicine. The scientist has contributed extensively to both foundational and applied aspects of these disciplines, focusing on various subfields such as molecular biology, genetics, physiology, immunology, and neurology.

The main topics of Michael Snyder's research encompass:

  • Single-cell and spatial transcriptomics
  • Metabolomics and mass spectrometry studies
  • Gut microbiota and health
  • Epigenetics and DNA methylation
  • RNA modifications and cancer
  • RNA research and splicing
  • Adipose tissue and metabolism

They have published frequently in venues including ENCODE Datasets, bioRxiv (Cold Spring Harbor Laboratory), Nature Communications, Cell, and Cell Reports.

Selected recent papers highlight a range of research interests:

  • Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices, 2021, published in Nature Methods
  • Exerkines in health, resilience and disease, 2022, published in Nature Reviews Endocrinology
  • The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution, 2020, published in Cell
  • Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy, 2020, published in Cell
  • Biomarkers of aging for the identification and evaluation of longevity interventions, 2023, published in Cell

Michael Snyder's frequent collaborators include Kévin Contrepois, Sai Zhang, Xiaotao Shen, Johnathan Cooper-Knock, and Ahmed A. Metwally.

In recognition of their contributions to science, they have been awarded fellowships by the American Academy of Arts and Sciences in 2015 and the American Association for the Advancement of Science (AAAS) in 2014.

Best Publications

  • RNA-Seq: a revolutionary tool for transcriptomics

    Zhong Wang;Mark Gerstein;Michael Snyder

  • Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

    Ewan Birney;John A. Stamatoyannopoulos;Anindya Dutta;Roderic Guigó

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

    F Aguet;AN Barbeira;R Bonazzola;A Brown

  • Functional profiling of the Saccharomyces cerevisiae genome.

    Guri Giaever;Angela M. Chu;Li Ni;Carla Connelly

  • Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis

    Elizabeth A. Winzeler;Daniel D. Shoemaker;Anna Astromoff;Hong Liang

  • The ENCODE (ENCyclopedia of DNA elements) Project

    E. A. Feingold;P. J. Good;M. S. Guyer;S. Kamholz

  • The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing

    Ugrappa Nagalakshmi;Zhong Wang;Karl Waern;Chong Shou

  • Global analysis of protein activities using proteome chips

    Michael Snyder;Heng Zhu;Paul Bertone;Scott M. Bidlingmaier

  • Annotation of functional variation in personal genomes using RegulomeDB

    Alan P. Boyle;Eurie L. Hong;Manoj Hariharan;Yong Cheng

  • An integrated encyclopedia of DNA elements in the human genome

    Ian Dunham;Anshul Kundaje;Shelley F. Aldred;Patrick J. Collins

  • Expanded encyclopaedias of DNA elements in the human and mouse genomes

    Jill E. Moore;Michael J. Purcaro;Henry E. Pratt;Charles B. Epstein

  • ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia

    Stephen G. Landt;Georgi K. Marinov;Anshul Kundaje;Pouya Kheradpour

  • A comparative encyclopedia of DNA elements in the mouse genome

    Feng Yue;Feng Yue;Yong Cheng;Alessandra Breschi;Jeff Vierstra

  • Single-cell chromatin accessibility reveals principles of regulatory variation

    Jason D. Buenrostro;Beijing Wu;Ulrike M. Litzenburger;Dave Ruff

  • Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing

    Gordon Robertson;Martin Hirst;Matthew Bainbridge;Misha Bilenky

  • Architecture of the human regulatory network derived from ENCODE data

    Mark B Gerstein;Anshul Kundaje;Manoj Hariharan;Stephen G Landt

  • High-Quality Binary Protein Interaction Map of the Yeast Interactome Network

    Haiyuan Yu;Pascal Braun;Muhammed A Yildirim;Irma Lemmens

  • CNVnator: An approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing

    Alexej Abyzov;Alexander Eckehart Urban;Michael Snyder;Mark Gerstein

  • A Bayesian networks approach for predicting protein-protein interactions from genomic data.

    Ronald Jansen;Haiyuan Yu;Dov Greenbaum;Yuval Kluger

  • Paired-end mapping reveals extensive structural variation in the human genome.

    Jan O. Korbel;Alexander Eckehart Urban;Jason P. Affourtit;Brian Godwin

Frequent Co-Authors

Mark Gerstein
Mark Gerstein Yale University
Joel Rozowsky
Joel Rozowsky Yale University
Sherman M. Weissman
Sherman M. Weissman Yale University
Anshul Kundaje
Anshul Kundaje Stanford University
Rui Chen
Rui Chen Capital Medical University
Joseph C. Wu
Joseph C. Wu Stanford University
Thomas R. Gingeras
Thomas R. Gingeras Cold Spring Harbor Laboratory
Paul Bertone
Paul Bertone University of Cambridge
Chao Cheng
Chao Cheng Baylor College of Medicine

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