World's Best Scientists 2026 revealed!
Award Badge
Genetics
USA
2026

D-Index & Metrics

Genetics

D-Index
143
Citations
86939
World Ranking
170
National Ranking
89

Medicine

D-Index
150
Citations
95090
World Ranking
1148
National Ranking
662

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.

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 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.

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.

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 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.

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Genetics in the USA can open doors to a variety of healthcare and science careers. Many students interested in Genetics find value in earning complementary online degrees, as these programs offer flexibility and shortened pathways into the workforce. For example, rn to bsn programs with no clinicals provide registered nurses a chance to advance their education and skills without extensive on-site requirements, fitting busy lifestyles.

If you seek a direct route into patient care, consider a medical assistant training program, which can be completed in just weeks, getting you started in the healthcare field quickly. Those already holding a nursing qualification may look into accelerated msn to dnp programs to transition into advanced practice or leadership roles faster.

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.

Best Scientists Citing Stephen S. Rich

Trending Scientists

Recently Published Articles