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Genetics
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Medicine 150 1148 1056 661 596 857 95090
Genetics 143 170 165 89 87 738 86939

Stephen S. Rich publications per year

The chart shows the history of publications by Stephen S. Rich between 1981 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Stephen S. Rich published across 45 years, from 1981 to 2025, averaging 28.8 papers a year. Output peaked at 127 publications in 2025. 229 of the 1,295 publications appeared in the last two years.

No. of publications
25 50 75 100 125
Bar chart. Horizontal axis: year, 1981 to 2025. Vertical axis: number of publications, 0 to 127. Peak 127 publications in 2025. 1981: 2 publications 1982: 4 publications 1983: 2 publications 1984: 0 publications 1985: 7 publications 1986: 4 publications 1987: 3 publications 1988: 6 publications 1989: 5 publications 1990: 9 publications 1991: 9 publications 1992: 10 publications 1993: 3 publications 1994: 9 publications 1995: 8 publications 1996: 6 publications 1997: 8 publications 1998: 11 publications 1999: 5 publications 2000: 21 publications 2001: 11 publications 2002: 18 publications 2003: 15 publications 2004: 15 publications 2005: 21 publications 2006: 23 publications 2007: 15 publications 2008: 22 publications 2009: 23 publications 2010: 15 publications 2011: 26 publications 2012: 25 publications 2013: 37 publications 2014: 49 publications 2015: 60 publications 2016: 48 publications 2017: 34 publications 2018: 50 publications 2019: 61 publications 2020: 54 publications 2021: 86 publications 2022: 104 publications 2023: 122 publications 2024: 102 publications 2025: 127 publications
1981 2025

1,295 publications in total across all disciplines

View publications per year as a table
Stephen S. Rich: publications per year, 1981 to 2025
Year Publications
1981 2
1982 4
1983 2
1984 0
1985 7
1986 4
1987 3
1988 6
1989 5
1990 9
1991 9
1992 10
1993 3
1994 9
1995 8
1996 6
1997 8
1998 11
1999 5
2000 21
2001 11
2002 18
2003 15
2004 15
2005 21
2006 23
2007 15
2008 22
2009 23
2010 15
2011 26
2012 25
2013 37
2014 49
2015 60
2016 48
2017 34
2018 50
2019 61
2020 54
2021 86
2022 104
2023 122
2024 102
2025 127
Total 1,295
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Stephen S. Rich 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 Stephen S. Rich 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: 738 publications — 98th percentile

98% 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+ 100 738
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Stephen S. Rich 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 Stephen S. Rich 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, 142–143 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: 143 D-Index — 96th percentile

96% 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 9 143
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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Research.com Recognitions

  • 2026 - Research.com Genetics in United States Leader Award
  • 2025 - Research.com Genetics in United States Leader Award

Overview

Stephen S. Rich is affiliated with the University of Virginia in the United States. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, and Medicine. Within these broad fields, their work focuses on Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, and Pulmonary and Respiratory Medicine.

Their main topics of study include Genetic Associations and Epidemiology, Diabetes and associated disorders, Pancreatic function and diabetes, Epigenetics and DNA Methylation, Diabetes Management and Research, Bioinformatics and Genomic Networks, and Genomics and Rare Diseases.

Recent publications by Stephen S. Rich illustrate a focus on genetics and disease mechanisms across diverse populations and biological systems. Significant papers include:

  • 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
  • Stroke genetics informs drug discovery and risk prediction across ancestries, 2022, Nature
  • Pangenomics enables genotyping of known structural variants in 5202 diverse genomes, 2021, Science
  • Meningeal lymphatics affect microglia responses and anti-Aβ immunotherapy, 2021, Nature

Stephen S. Rich has collaborated frequently with several researchers, with co-author counts highlighting ongoing partnerships. Frequent co-authors include:

  • Jerome I. Rotter (312 publications)
  • Kent D. Taylor (169 publications)
  • Xiuqing Guo (157 publications)
  • Laura M. Raffield (155 publications)
  • Bruce M. Psaty (149 publications)

The scientist's works have appeared in numerous publication venues, with the highest numbers in:

  • bioRxiv (Cold Spring Harbor Laboratory) - 102 publications
  • UNC Libraries - 67 publications
  • Circulation - 27 publications
  • Nature Communications - 25 publications
  • Diabetes - 16 publications

Best Publications

  • 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

  • Robust relationship inference in genome-wide association studies

    Ani Manichaikul;Josyf C. Mychaleckyj;Stephen S. Rich;Kathy Daly

  • Personality similarity in twins reared apart and together.

    Auke Tellegen;David T. Lykken;Thomas J. Bouchard;Kimerly J. Wilcox

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

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

  • Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes

    Jeffrey C Barrett;David G Clayton;Patrick Concannon;Beena Akolkar

  • Familial clustering of diabetic kidney disease. Evidence for genetic susceptibility to diabetic nephropathy

    Elizabeth R. Seaquist;Frederick C. Goetz;Stephen Rich;José Barbosa

  • Gut microbiomes of Malawian twin pairs discordant for kwashiorkor

    Michelle I. Smith;Tanya Yatsunenko;Mark J. Manary;Mark J. Manary;Mark J. Manary;Indi Trehan;Indi Trehan

  • Functional aspects of meningeal lymphatics in ageing and Alzheimer’s disease

    Sandro Da Mesquita;Antoine Louveau;Andrea Vaccari;Igor Smirnov

  • Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

    Aysu Okbay;Bart M L Baselmans;Jan-Emmanuel De Neve;Patrick Turley

  • A structural variation reference for medical and population genetics

    Ryan L Collins;Ryan L Collins;Harrison Brand;Harrison Brand;Konrad J Karczewski;Konrad J Karczewski;Xuefang Zhao;Xuefang Zhao

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

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

  • A genome-wide search for asthma susceptibility loci in ethnically diverse populations

    David G. Marsh;Nancy E. Maestri;Linda R. Freidhoff;Kathleen C. Barnes

  • Dense genotyping identifies and localizes multiple common and rare variant association signals in celiac disease

    Gosia Trynka;Karen A Hunt;Nicholas A Bockett;Jihane Romanos

  • Early-Onset Stroke and Vasculopathy Associated with Mutations in ADA2

    Qing Zhou;Dan Yang;Amanda K Ombrello;Andrey V Zavialov

  • Loss-of-function mutations in APOC3, triglycerides, and coronary disease

    Jacy Crosby;Gina M. Peloso;Gina M. Peloso;Paul L. Auer;David R. Crosslin

  • High-density genetic mapping identifies new susceptibility loci for rheumatoid arthritis

    Steve Eyre;John Bowes;John Bowes;Dorothée Diogo;Dorothée Diogo;Annette Lee

  • Mendelian randomization of blood lipids for coronary heart disease

    Michael V. Holmes;Folkert W. Asselbergs;Tom M. Palmer;Fotios Drenos

  • Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction

    Ron Do;Ron Do;Nathan O. Stitziel;Hong Hee Won;Hong Hee Won;Anders Berg Jørgensen

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

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

  • Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

    Aysu Okbay;Bart M. L. Baselmans;Jan-Emmanuel De Neve;Patrick Turley

Frequent Co-Authors

Jerome I. Rotter
Jerome I. Rotter UCLA Medical Center
Bruce M. Psaty
Bruce M. Psaty University of Washington
Ani Manichaikul
Ani Manichaikul University of Virginia
Donald W. Bowden
Donald W. Bowden Wake Forest University
Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston
Kent D. Taylor
Kent D. Taylor David Geffen School of Medicine at UCLA
Carl D. Langefeld
Carl D. Langefeld Wake Forest University
Myriam Fornage
Myriam Fornage The University of Texas Health Science Center at Houston
Alexander P. Reiner
Alexander P. Reiner University of Washington
Susan Redline
Susan Redline Brigham and Women's Hospital

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If your goal is to reach the highest levels of nursing expertise, there are a variety of dnp programs available online, designed for working professionals. These educational options allow Genetics students to combine their science background with hands-on healthcare experience, leading to diverse and meaningful career opportunities.

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