World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
76
Citations
37902
World Ranking
1791
National Ranking
820

Mark J. Rieder 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 Mark J. Rieder 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: 161 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Mark J. Rieder 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 Mark J. Rieder 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: 76 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Overview

Mark J. Rieder is affiliated with the University of Washington in the United States. Their research primarily falls within the broad field of Medicine, with a focus on several subfields including Epidemiology, Infectious Diseases, Modeling and Simulation, Radiology, Nuclear Medicine and Imaging, and Pulmonary and Respiratory Medicine.

Their work encompasses numerous topics related to infectious diseases and epidemiology, with particular emphasis on respiratory viral infections research, SARS-CoV-2 detection and testing, influenza virus research studies, SARS-CoV-2 and COVID-19 research, COVID-19 epidemiological studies, data-driven disease surveillance, and COVID-19 clinical research studies.

Mark J. Rieder has contributed to a range of recent scientific papers, demonstrating involvement in studies concerning COVID-19 and related viral infections. Notable publications include:

  • Cryptic transmission of SARS-CoV-2 in Washington State, 2020, Science
  • Evidence for Limited Early Spread of COVID-19 Within the United States, January-February 2020, 2020, MMWR Morbidity and Mortality Weekly Report
  • Early Detection of Covid-19 through a Citywide Pandemic Surveillance Platform, 2020, New England Journal of Medicine
  • Comparison of Symptoms and RNA Levels in Children and Adults With SARS-CoV-2 Infection in the Community Setting, 2021, JAMA Pediatrics
  • Cryptic transmission of SARS-CoV-2 in Washington State, 2020, bioRxiv (Cold Spring Harbor Laboratory)

The scientist frequently publishes in several venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • UNC Libraries
  • BMJ Open
  • Journal of Clinical Microbiology
  • BMC Infectious Diseases

Collaboration is a significant aspect of their research activities. Frequent co-authors associated with Mark J. Rieder include:

  • Helen Y. Chu
  • Deborah A. Nickerson
  • Lea M. Starita
  • Peter D. Han
  • Trevor Bedford

Mark J. Rieder's research output reflects a focus on examining the spread and detection of viral diseases, particularly SARS-CoV-2, through data-driven surveillance and clinical studies. The combination of their main and subfields showcases an interdisciplinary approach to infectious disease research and its clinical implications.

Best Publications

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

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

  • Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations

    Brian J. O’Roak;Laura Vives;Santhosh Girirajan;Emre Karakoc

  • Selecting a Maximally Informative Set of Single-Nucleotide Polymorphisms for Association Analyses Using Linkage Disequilibrium

    Christopher S. Carlson;Michael A. Eberle;Mark J. Rieder;Qian Yi

  • Evolution and functional impact of rare coding variation from deep sequencing of human exomes

    Jacob A. Tennessen;Abigail W. Bigham;Timothy D. O'Connor;Wenqing Fu

  • Effect of VKORC1 haplotypes on transcriptional regulation and warfarin dose.

    Mark J. Rieder;Alexander P. Reiner;Brian F. Gage;Deborah A. Nickerson

  • Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans.

    Sekar Kathiresan;Sekar Kathiresan;Olle Melander;Candace Guiducci;Aarti Surti

  • Exome sequencing identifies MLL2 mutations as a cause of Kabuki syndrome

    Sarah B. Ng;Abigail W. Bigham;Kati J. Buckingham;Mark C. Hannibal;Mark C. Hannibal

  • Exome sequencing in sporadic autism spectrum disorders identifies severe de novo mutations

    Brian J O'Roak;Pelagia Deriziotis;Pelagia Deriziotis;Choli Lee;Laura Vives

  • Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies.

    Seunggeun Lee;Mary J. Emond;Michael J. Bamshad;Kathleen C. Barnes

  • Analysis of 6,515 exomes reveals the recent origin of most human protein-coding variants

    Wenqing Fu;Timothy D. O’Connor;Goo Jun;Hyun Min Kang

  • Use of Pharmacogenetic and Clinical Factors to Predict the Therapeutic Dose of Warfarin

    BF Gage;C Eby;JA Johnson;E Deych

  • Automating the identification of DNA variations using quality-based fluorescence re-sequencing: analysis of the human mitochondrial genome.

    Mark J. Rieder;Scott L. Taylor;Vincent O. Tobe;Deborah A. Nickerson

  • Sequence variation in the human angiotensin converting enzyme.

    Mark J. Rieder;Scott L. Taylor;Andrew G. Clark;Deborah A. Nickerson

  • Using synthetic templates to design an unbiased multiplex PCR assay

    Christopher S. Carlson;Ryan O. Emerson;Anna M. Sherwood;Cindy Desmarais

  • 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.

  • Population History and Natural Selection Shape Patterns of Genetic Variation in 132 Genes

    Joshua M Akey;Michael A Eberle;Mark J Rieder;Christopher S Carlson

  • Immunosequencing identifies signatures of cytomegalovirus exposure history and HLA-mediated effects on the T cell repertoire

    Ryan O Emerson;William S DeWitt;Marissa Vignali;Jenna Gravley

  • A genome-wide scan for common genetic variants with a large influence on warfarin maintenance dose

    Gregory M. Cooper;Julie A. Johnson;Taimour Y. Langaee;Hua Feng

  • Polymorphisms within the C-Reactive Protein (CRP) Promoter Region Are Associated with Plasma CRP Levels

    Christopher S. Carlson;Shelley Force Aldred;Philip K. Lee;Russell P. Tracy

  • CYP4F2 IS A VITAMIN K1 OXIDASE: AN EXPLANATION FOR ALTERED WARFARIN DOSE IN CARRIERS OF THE V433M VARIANT

    Matthew G. McDonald;Mark J. Rieder;Mariko Nakano;Clara K. Hsia

Frequent Co-Authors

Deborah A. Nickerson
Deborah A. Nickerson University of Washington
Jay Shendure
Jay Shendure University of Washington
Trevor Bedford
Trevor Bedford Fred Hutchinson Cancer Research Center
Harlan Robins
Harlan Robins Adaptive Biotechnologies (United States)
Christopher S. Carlson
Christopher S. Carlson Fred Hutchinson Cancer Research Center
Joshua D. Smith
Joshua D. Smith University of Washington
Allan E. Rettie
Allan E. Rettie University of Washington
Janet A. Englund
Janet A. Englund Seattle Children's Hospital
Helen Y. Chu
Helen Y. Chu University of Washington
Dana C. Crawford
Dana C. Crawford Case Western Reserve University

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