World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 76 1791 1703 820 772 161 37902

Mark J. Rieder publications per year

The chart shows the history of publications by Mark J. Rieder between 1998 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mark J. Rieder published across 29 years, from 1998 to 2026, averaging 7.1 papers a year. Output peaked at 24 publications in 2008. 2 of the 205 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1998 to 2026. Vertical axis: number of publications, 0 to 24. Peak 24 publications in 2008. 1998: 1 publication 1999: 1 publication 2000: 2 publications 2001: 2 publications 2002: 1 publication 2003: 5 publications 2004: 7 publications 2005: 13 publications 2006: 10 publications 2007: 9 publications 2008: 24 publications 2009: 3 publications 2010: 9 publications 2011: 11 publications 2012: 17 publications 2013: 17 publications 2014: 12 publications 2015: 12 publications 2016: 3 publications 2017: 1 publication 2018: 0 publications 2019: 2 publications 2020: 15 publications 2021: 8 publications 2022: 1 publication 2023: 16 publications 2024: 1 publication 2025: 1 publication 2026: 1 publication
1998 2026

205 publications in total across all disciplines

View publications per year as a table
Mark J. Rieder: publications per year, 1998 to 2026
Year Publications
1998 1
1999 1
2000 2
2001 2
2002 1
2003 5
2004 7
2005 13
2006 10
2007 9
2008 24
2009 3
2010 9
2011 11
2012 17
2013 17
2014 12
2015 12
2016 3
2017 1
2018 0
2019 2
2020 15
2021 8
2022 1
2023 16
2024 1
2025 1
2026 1
Total 205
Download as CSV

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.

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, 155–164 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: 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.

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
155–164 188 161
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
Download as CSV

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.

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, 76–77 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: 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.

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 76
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
Download as CSV

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

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

If you’re interested in genetics, a range of related online degrees and accelerated career pathways can help you build a strong foundation in healthcare and the sciences. Many students consider programs that balance convenience, affordability, and practical skill development.

For working nurses or those seeking to advance their roles, exploring the best online rn to bsn programs can be a strategic step. These programs often waive clinical requirements, making them more accessible for busy professionals.

Those seeking a doctorate might consider the fastest dnp online program options, designed for rapid completion without compromising educational standards. Cost is also an important factor; the cheapest dnp programs guide helps prospective students identify affordable routes to advanced nursing practice.

For a quicker entry into healthcare, the medical assistant accelerated program allows individuals to start their careers in as little as six weeks. This can be an excellent option for those eager to gain hands-on experience while working towards further education in genetics or other fields.

Best Scientists Citing Mark J. Rieder

Trending Scientists

Recently Published Articles