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Peter N. Robinson

Peter N. Robinson

The Jackson Laboratory
United States

Last Updated:

D-Index & Metrics

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Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Medicine 94 10469 9829 5386 4976 387 33238
Genetics 95 898 845 448 418 358 33083

Peter N. Robinson publications per year

The chart shows the history of publications by Peter N. Robinson between 1978 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Peter N. Robinson published across 48 years, from 1978 to 2025, averaging 14.4 papers a year. Output peaked at 117 publications in 2024. 153 of the 691 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 1978 to 2025. Vertical axis: number of publications, 0 to 117. Peak 117 publications in 2024. 1978: 2 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 1 publication 1984: 0 publications 1985: 1 publication 1986: 0 publications 1987: 1 publication 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 1 publication 1993: 2 publications 1994: 0 publications 1995: 2 publications 1996: 8 publications 1997: 10 publications 1998: 3 publications 1999: 4 publications 2000: 4 publications 2001: 5 publications 2002: 2 publications 2003: 1 publication 2004: 7 publications 2005: 2 publications 2006: 15 publications 2007: 5 publications 2008: 8 publications 2009: 12 publications 2010: 22 publications 2011: 26 publications 2012: 24 publications 2013: 29 publications 2014: 33 publications 2015: 37 publications 2016: 26 publications 2017: 54 publications 2018: 11 publications 2019: 25 publications 2020: 27 publications 2021: 38 publications 2022: 49 publications 2023: 41 publications 2024: 117 publications 2025: 36 publications
1978 2025

691 publications in total across all disciplines

View publications per year as a table
Peter N. Robinson: publications per year, 1978 to 2025
Year Publications
1978 2
1979 0
1980 0
1981 0
1982 0
1983 1
1984 0
1985 1
1986 0
1987 1
1988 0
1989 0
1990 0
1991 0
1992 1
1993 2
1994 0
1995 2
1996 8
1997 10
1998 3
1999 4
2000 4
2001 5
2002 2
2003 1
2004 7
2005 2
2006 15
2007 5
2008 8
2009 12
2010 22
2011 26
2012 24
2013 29
2014 33
2015 37
2016 26
2017 54
2018 11
2019 25
2020 27
2021 38
2022 49
2023 41
2024 117
2025 36
Total 691
Download as CSV

Peter N. Robinson publications per year - data summary

  • Peter N. Robinson, a Genetics scholar from The Jackson Laboratory, has 691 publications recorded across 48 years, from 1978 to 2025.
  • The oldest publication on record dates to 1978 and the most recent to 2025.
  • The most productive year is 2024, with 117 publications.
  • The least productive years with any output are 1983, 1985, 1987, 1992 and others, with 1 publication each.
  • 11 of the 48 years in the span carry no publications at all (1979, 1980, 1981, 1982 and others).
  • The rate of publication averages 14.4 papers per year over the whole span, or 18.7 per year counting only the 37 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 281 publications, 41% of the career total.
  • Split into equal eras - 1978-1993: 8 publications (0.5 per year); 1994-2009: 88 publications (5.5 per year); 2010-2025: 595 publications (37.2 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Peter N. Robinson 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 Peter N. Robinson 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, 355–364 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: 358 publications — 84th percentile

84% 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 48 358
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

Peter N. Robinson publication distribution in Genetics in 2026 - data summary

  • The chart plots the publication count of all 4,342 Genetics scientists ranked by Research.com in 2026, grouped into 67 ranges running from 45–54 to 703+ publications.
  • Peter N. Robinson, a Genetics scholar from The Jackson Laboratory, records 358 publications - the 84th percentile of the discipline.
  • 84% of ranked Genetics scientists score the same or lower than Peter N. Robinson, and about 16% score higher.
  • The median of the discipline falls in the 195–204 publications range, and Peter N. Robinson ranks above the median.
  • The most crowded range is 125–134 publications, holding 217 scientists (5% of the field).
  • 56% of the field sits in the lowest quarter of the value range (up to 205–214 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 703 publications or more, 100 scientists in all (2% of the field).

Peter N. Robinson 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 Peter N. Robinson 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, 94–95 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: 95 D-Index — 80th percentile

80% 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 95
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

Peter N. Robinson D-index placement in Genetics in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 4,342 Genetics scientists ranked by Research.com in 2026, grouped into 61 ranges running from 40–41 to 160+ D-Index.
  • Peter N. Robinson, a Genetics scholar from The Jackson Laboratory, records 95 D-Index - the 80th percentile of the discipline.
  • 80% of ranked Genetics scientists score the same or lower than Peter N. Robinson, and about 20% score higher.
  • The median of the discipline falls in the 70–71 D-Index range, and Peter N. Robinson ranks above the median.
  • The most crowded range is 62–63 D-Index, holding 191 scientists (4% of the field).
  • 51% of the field sits in the lowest quarter of the value range (up to 70–71 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 160 D-Index or more, 96 scientists in all (2% of the field).

Overview

Peter N. Robinson is affiliated with The Jackson Laboratory in the United States. Their research spans multiple disciplines within the biological and medical sciences, with a notable focus on biochemistry, genetics, and molecular biology, alongside significant contributions in the field of medicine.

The primary subfields in which they have published include molecular biology, genetics, artificial intelligence, infectious diseases, and cancer research. Their work often intersects with various specialized topics such as genomics and rare diseases, biomedical text mining and ontologies, bioinformatics and genomic networks, genomic variations and chromosomal abnormalities, cancer genomics and diagnostics, semantic web and ontologies, and RNA research and splicing.

Peter N. Robinson has been involved in numerous academic publications, with frequent contributions appearing in notable venues. The most common publication venues include bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), UNC Libraries, Bioinformatics, and arXiv (Cornell University).

Among their recent papers, the following are highlighted along with year of publication and venues:

  • The Human Phenotype Ontology in 2021, 2020, Nucleic Acids Research
  • The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment, 2020, Journal of the American Medical Informatics Association
  • Characterizing Long COVID: Deep Phenotype of a Complex Condition, 2021, EBioMedicine
  • Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes, 2022, EBioMedicine
  • Challenges in defining Long COVID: Striking differences across literature, Electronic Health Records, and patient-reported information, 2021, bioRxiv (Cold Spring Harbor Laboratory)

The scientist collaborates frequently with a number of co-authors, including Melissa Haendel, Justin Reese, Chris Mungall, Elena Casiraghi, and Giorgio Valentini.

Best Publications

  • Walking the Interactome for Prioritization of Candidate Disease Genes

    Sebastian Köhler;Sebastian Bauer;Denise Horn;Peter N. Robinson

  • The Human Phenotype Ontology in 2021

    Sebastian Köhler;Michael Gargano;Nicolas Matentzoglu;Leigh C. Carmody

  • The Human Phenotype Ontology: A Tool for Annotating and Analyzing Human Hereditary Disease

    Peter N. Robinson;Sebastian Köhler;Sebastian Bauer;Dominik Seelow

  • The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data

    Sebastian Köhler;Sandra C. Doelken;Christopher J. Mungall;Sebastian Bauer

  • The Human Phenotype Ontology in 2017

    Sebastian Köhler;Nicole A. Vasilevsky;Mark Engelstad;Erin D. Foster

  • Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources

    Sebastian Köhler;Leigh Carmody;Nicole A. Vasilevsky;Julius O. B. Jacobsen

  • Effect of mutation type and location on clinical outcome in 1,013 probands with marfan syndrome or related phenotypes and FBN1 mutations : An international study

    L. Faivre;G. Collod-Beroud;G. Collod-Beroud;B.L. Loeys;A. Child

  • Ontologizer 2.0—a multifunctional tool for GO term enrichment analysis and data exploration

    Sebastian Bauer;Steffen Grossmann;Martin Vingron;Peter N. Robinson

  • The National COVID Cohort Collaborative (N3C): Rationale, Design, Infrastructure, and Deployment.

    Melissa A Haendel;Melissa A Haendel;Christopher G Chute;Tellen D Bennett;David A Eichmann

  • Clinical Diagnostics in Human Genetics with Semantic Similarity Searches in Ontologies

    Sebastian Köhler;Marcel H. Schulz;Marcel H. Schulz;Peter Krawitz;Sebastian Bauer

  • The Matchmaker Exchange: a platform for rare disease gene discovery

    Anthony A. Philippakis;Anthony A. Philippakis;Anthony A. Philippakis;Danielle R. Azzariti;Sergi Beltran;Anthony J. Brookes

  • The molecular genetics of Marfan syndrome and related disorders

    Peter N. Robinson;E. Arteaga-Solis;C. Baldock;G. Collod-Béroud

  • Deep phenotyping for precision medicine

    Peter N. Robinson

  • The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species.

    Christopher J. Mungall;Julie A. McMurry;Sebastian Köhler;James P. Balhoff

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

  • Improved detection of overrepresentation of Gene-Ontology annotations with parent–child analysis

    Steffen Grossmann;Sebastian Bauer;Peter N. Robinson;Martin Vingron

  • The molecular genetics of Marfan syndrome and related microfibrillopathies

    Peter N. Robinson;Maurice Godfrey

  • Update of the UMD-FBN1 mutation database and creation of an FBN1 polymorphism database.

    Gwenaëlle Collod-Béroud;Saga Le Bourdelles;Lesley Ades;Lesley Ades;Leena Ala-Kokko;Leena Ala-Kokko

  • The human phenotype ontology.

    PN Robinson;S Mundlos

  • The Monarch Initiative: An integrative data and analytic platform connecting phenotypes to genotypes across species

    Christopher J Mungall;Julie A McMurry;Sebastian Köhler;James P. Balhoff

Frequent Co-Authors

Stefan Mundlos
Stefan Mundlos Max Planck Society
Melissa A. Haendel
Melissa A. Haendel University of Colorado Anschutz Medical Campus
Christopher J. Mungall
Christopher J. Mungall Lawrence Berkeley National Laboratory
Damian Smedley
Damian Smedley Queen Mary University of London
Suzanna E. Lewis
Suzanna E. Lewis Lawrence Berkeley National Laboratory
Giorgio Valentini
Giorgio Valentini University of Milan
Uwe Kornak
Uwe Kornak University of Göttingen
Michael Brudno
Michael Brudno University of Toronto
Christophe Béroud
Christophe Béroud Aix-Marseille University
Jochen Hecht
Jochen Hecht Centre for Genomic Regulation

External Links

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Related Online Degrees & Career Pathways

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Best Scientists Citing Peter N. Robinson

Stefan Mundlos

Stefan Mundlos

Max Planck Society

Publications: 114

Robert Hoehndorf

Robert Hoehndorf

King Abdullah University of Science and Technology

Publications: 101

Georgios V. Gkoutos

Georgios V. Gkoutos

University of Birmingham

Publications: 76

Catherine Boileau

Catherine Boileau

Université Paris Cité

Publications: 64

Bart Loeys

Bart Loeys

University of Antwerp

Publications: 62

Heidi L. Rehm

Heidi L. Rehm

Brigham and Women's Hospital

Publications: 54

Harry C. Dietz

Harry C. Dietz

Johns Hopkins University School of Medicine

Publications: 47

Uwe Kornak

Uwe Kornak

University of Göttingen

Publications: 46

Melissa A. Haendel

Melissa A. Haendel

University of Colorado Anschutz Medical Campus

Publications: 45

Paul N. Schofield

Paul N. Schofield

University of Cambridge

Publications: 45

Taroh Kinoshita

Taroh Kinoshita

Osaka University

Publications: 44

Hanns Lochmüller

Hanns Lochmüller

University of Freiburg

Publications: 43

Kym M. Boycott

Kym M. Boycott

Children's Hospital of Eastern Ontario

Publications: 41

Laurence Faivre

Laurence Faivre

University of Burgundy

Publications: 41

Matthew E. Hurles

Matthew E. Hurles

Wellcome Sanger Institute

Publications: 36

Dianna M. Milewicz

Dianna M. Milewicz

The University of Texas Health Science Center at Houston

Publications: 36

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