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David Neil Cooper
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Genetics
UK
2024
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Genetics and Molecular Biology
UK
2024

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Medicine 125 3005 2804 304 292 765 104766
Genetics 128 268 258 50 49 742 115736

David Neil Cooper publications per year

The chart shows the history of publications by David Neil Cooper between 1981 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David Neil Cooper published across 46 years, from 1981 to 2026, averaging 18.7 papers a year. Output peaked at 76 publications in 1991. 15 of the 860 publications appeared in the last two years.

No. of publications
25 50 75
Bar chart. Horizontal axis: year, 1981 to 2026. Vertical axis: number of publications, 0 to 76. Peak 76 publications in 1991. 1981: 1 publication 1982: 0 publications 1983: 7 publications 1984: 3 publications 1985: 4 publications 1986: 7 publications 1987: 13 publications 1988: 7 publications 1989: 6 publications 1990: 27 publications 1991: 76 publications 1992: 13 publications 1993: 16 publications 1994: 13 publications 1995: 17 publications 1996: 14 publications 1997: 9 publications 1998: 10 publications 1999: 6 publications 2000: 13 publications 2001: 8 publications 2002: 16 publications 2003: 20 publications 2004: 19 publications 2005: 17 publications 2006: 28 publications 2007: 20 publications 2008: 22 publications 2009: 26 publications 2010: 32 publications 2011: 29 publications 2012: 39 publications 2013: 30 publications 2014: 25 publications 2015: 29 publications 2016: 23 publications 2017: 28 publications 2018: 18 publications 2019: 22 publications 2020: 20 publications 2021: 26 publications 2022: 22 publications 2023: 24 publications 2024: 40 publications 2025: 14 publications 2026: 1 publication
1981 2026

860 publications in total across all disciplines

View publications per year as a table
David Neil Cooper: publications per year, 1981 to 2026
Year Publications
1981 1
1982 0
1983 7
1984 3
1985 4
1986 7
1987 13
1988 7
1989 6
1990 27
1991 76
1992 13
1993 16
1994 13
1995 17
1996 14
1997 9
1998 10
1999 6
2000 13
2001 8
2002 16
2003 20
2004 19
2005 17
2006 28
2007 20
2008 22
2009 26
2010 32
2011 29
2012 39
2013 30
2014 25
2015 29
2016 23
2017 28
2018 18
2019 22
2020 20
2021 26
2022 22
2023 24
2024 40
2025 14
2026 1
Total 860
Download as CSV

David Neil Cooper 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 David Neil Cooper 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: 742 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+ 100 742
Download as CSV

David Neil Cooper 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 David Neil Cooper 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, 128–129 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: 128 D-Index — 94th percentile

94% 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 22 128
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

Research.com Recognitions

  • 2024 - Research.com Genetics in United Kingdom Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in United Kingdom Leader Award
  • 2023 - Research.com Genetics in United Kingdom Leader Award

Overview

David Neil Cooper is affiliated with Cardiff University in the United Kingdom. Their research primarily focuses on Biochemistry, Genetics, and Molecular Biology, with significant contributions in Medicine. The main subfields of their work include Molecular Biology, Genetics, Surgery, Cancer Research, and Oncology.

Cooper's research covers a range of topics, notably:

  • Genomics and Rare Diseases
  • Pancreatitis Pathology and Treatment
  • RNA and protein synthesis mechanisms
  • Genomics and Phylogenetic Studies
  • Pancreatic and Hepatic Oncology Research
  • RNA modifications and cancer
  • Gastrointestinal disorders and treatments

Their publication record includes frequent appearances in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Human Genetics
  • Nature Communications
  • Human Mutation
  • Proceedings of the National Academy of Sciences

Cooper has contributed to several recent papers, including:

  • Inferring the molecular and phenotypic impact of amino acid variants with MutPred2, 2020, Nature Communications
  • The Human Gene Mutation Database (HGMD®): optimizing its use in a clinical diagnostic or research setting, 2020, Human Genetics
  • NextDenovo: an efficient error correction and accurate assembly tool for noisy long reads, 2024, Genome Biology
  • MutationTaster2021, 2021, Nucleic Acids Research
  • Phylogenomic analyses provide insights into primate evolution, 2023, Science

Frequent co-authors in Cooper's work include:

  • Peter D. Stenson
  • Jian-Min Chen
  • Claude Férec
  • Emmanuelle Masson
  • Yuval Itan

In addition to articles, Cooper has authored several books published by Garland Science eBooks, such as:

  • Human Gene Evolution, 2024
  • Functional Analysis of the Human Genome, 2020
  • Gene Therapy, 2020

Best Publications

  • A global reference for human genetic variation.

    Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin

  • Analysis of protein-coding genetic variation in 60,706 humans

    Monkol Lek;Konrad J. Karczewski;Konrad J. Karczewski;Eric V. Minikel;Eric V. Minikel;Kaitlin E. Samocha

  • Table S2: Trans-factors and trinucleotide repeat instability Trans-factor

    Arturo López Castel;John D Cleary;Christopher E Pearson

  • MutationTaster2: mutation prediction for the deep-sequencing age

    Jana Marie Schwarz;David Neil Cooper;Markus Schuelke;Dominik Seelow

  • Genome sequence of the Brown Norway rat yields insights into mammalian evolution

    Richard A. Gibbs;George M. Weinstock;Michael L. Metzker;Donna M. Muzny

  • Human Gene Mutation Database (HGMD): 2003 update.

    Peter Daniel Stenson;Edward Vincent Ball;Matthew Edwin Mort;Andrew David Phillips

  • A massive phytoplankton bloom induced by an ecosystem-scale iron fertilization experiment in the equatorial Pacific Ocean

    Kenneth H. Coale;Kenneth S. Johnson;Kenneth S. Johnson;Steve E. Fitzwater;R. Michael Gordon

  • The mutational spectrum of single base-pair substitutions in mRNA splice junctions of human genes: causes and consequences.

    Michael Krawczak;Jochen Reiss;David Neil Cooper

  • Encyclopedia of life sciences

    Yixian Zheng;Cheryl Tickle;Roland Jansson;Hildegard Kehrer-Sawatzki

  • Evolutionary and biomedical insights from the rhesus macaque genome

    Richard A. Gibbs;Jeffrey Rogers

  • The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studies

    Peter D. Stenson;Matthew Mort;Edward V. Ball;Katy Evans

  • A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes

    Daniel G. MacArthur;Daniel G. MacArthur;Suganthi Balasubramanian;Adam Frankish;Ni Huang

  • The Human Gene Mutation Database: building a comprehensive mutation repository for clinical and molecular genetics, diagnostic testing and personalized genomic medicine

    Peter D. Stenson;Matthew Mort;Edward V. Ball;Katy Shaw

  • Mapping copy number variation by population-scale genome sequencing

    Ryan E. Mills;Klaudia Walter;Chip Stewart;Robert E. Handsaker

  • Predicting the functional, molecular, and phenotypic consequences of amino acid substitutions using hidden Markov models.

    Hashem A. Shihab;Julian Gough;David Neil Cooper;Peter Daniel Stenson

  • The Human Gene Mutation Database: 2008 update

    Peter Daniel Stenson;Matthew Mort;Edward Ball;Katy Howells

  • The CpG dinucleotide and human genetic disease

    David Neil Cooper;Hagop Youssoufian

  • The yak genome and adaptation to life at high altitude

    Qiang Qiu;Guojie Zhang;Tao Ma;Wubin Qian

  • A global reference for human genetic variation

    Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin

  • The human gene mutation database

    David Neil Cooper;Edward V. Ball;Michael Krawczak

Frequent Co-Authors

Jian-Min Chen
Jian-Min Chen University of Western Brittany
Matthew Mort
Matthew Mort Cardiff University
Michael Krawczak
Michael Krawczak Kiel University
Peter D. Stenson
Peter D. Stenson Cardiff University
Nadia Chuzhanova
Nadia Chuzhanova Nottingham Trent University
Claude Férec
Claude Férec University of Western Brittany
Hildegard Kehrer-Sawatzki
Hildegard Kehrer-Sawatzki University of Ulm
Meena Upadhyaya
Meena Upadhyaya Cardiff University
Kenneth K. Kidd
Kenneth K. Kidd Yale University
Anne M. Bowcock
Anne M. Bowcock Icahn School of Medicine at Mount Sinai

External Links

Personal website of David Neil Cooper

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Best Scientists Citing David Neil Cooper

Mark J. Daly

Mark J. Daly

Massachusetts General Hospital

Publications: 219

Evan E. Eichler

Evan E. Eichler

University of Washington

Publications: 186

James R. Lupski

James R. Lupski

Baylor College of Medicine

Publications: 186

Laurent Abel

Laurent Abel

Université Paris Cité

Publications: 182

Daniel G. MacArthur

Daniel G. MacArthur

Garvan Institute of Medical Research

Publications: 181

Benjamin M. Neale

Benjamin M. Neale

Harvard University

Publications: 175

Eric Boerwinkle

Eric Boerwinkle

The University of Texas Health Science Center at Houston

Publications: 174

Kari Stefansson

Kari Stefansson

deCODE Genetics (Iceland)

Publications: 159

Richard A. Gibbs

Richard A. Gibbs

Baylor College of Medicine

Publications: 152

Aarno Palotie

Aarno Palotie

University of Helsinki

Publications: 152

Jean-Laurent Casanova

Jean-Laurent Casanova

The University of Texas Southwestern Medical Center

Publications: 134

Donna M. Muzny

Donna M. Muzny

Baylor College of Medicine

Publications: 117

Stephen W. Scherer

Stephen W. Scherer

University of Toronto

Publications: 113

George P. Patrinos

George P. Patrinos

University of Patras

Publications: 113

Thomas Werge

Thomas Werge

University of Copenhagen

Publications: 109

Anders D. Børglum

Anders D. Børglum

Aarhus University

Publications: 104

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