World's Best Scientists 2026 revealed!
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David A. Collier

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Medicine 129 2537 2365 1427 1310 646 84719
Genetics 122 342 330 177 170 536 79440

David A. Collier publications per year

The chart shows the history of publications by David A. Collier between 1991 and 2023, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David A. Collier published across 33 years, from 1991 to 2023, averaging 19.8 papers a year. Output peaked at 43 publications in 2011. 4 of the 654 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1991 to 2023. Vertical axis: number of publications, 0 to 43. Peak 43 publications in 2011. 1991: 1 publication 1992: 4 publications 1993: 9 publications 1994: 5 publications 1995: 17 publications 1996: 28 publications 1997: 23 publications 1998: 21 publications 1999: 18 publications 2000: 27 publications 2001: 23 publications 2002: 18 publications 2003: 12 publications 2004: 26 publications 2005: 22 publications 2006: 28 publications 2007: 19 publications 2008: 41 publications 2009: 36 publications 2010: 30 publications 2011: 43 publications 2012: 35 publications 2013: 29 publications 2014: 17 publications 2015: 22 publications 2016: 19 publications 2017: 20 publications 2018: 16 publications 2019: 23 publications 2020: 10 publications 2021: 8 publications 2022: 2 publications 2023: 2 publications
1991 2023

654 publications in total across all disciplines

View publications per year as a table
David A. Collier: publications per year, 1991 to 2023
Year Publications
1991 1
1992 4
1993 9
1994 5
1995 17
1996 28
1997 23
1998 21
1999 18
2000 27
2001 23
2002 18
2003 12
2004 26
2005 22
2006 28
2007 19
2008 41
2009 36
2010 30
2011 43
2012 35
2013 29
2014 17
2015 22
2016 19
2017 20
2018 16
2019 23
2020 10
2021 8
2022 2
2023 2
Total 654
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David A. Collier 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 A. Collier 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, 535–544 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: 536 publications — 95th percentile

95% 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 8 536
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

David A. Collier 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 A. Collier 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, 122–123 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: 122 D-Index — 92nd percentile

92% 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 29 122
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

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Internal medicine

David A. Collier focuses on Genetics, Genome-wide association study, Psychosis, Schizophrenia and Allele. His Genetics study frequently draws connections to adjacent fields such as Odds ratio. His Genome-wide association study study incorporates themes from Allele frequency, Schizophrenia, Disease, Epigenetics of schizophrenia and Genetic architecture.

The various areas that he examines in his Psychosis study include Clozapine and Neuroscience. In his work, Serotonin transporter is strongly intertwined with Bipolar disorder, which is a subfield of Schizophrenia. His research in Allele intersects with topics in Population stratification, Cocaine dependence, Addiction and Clinical psychology.

His most cited work include:

  • Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls (7922 citations)
  • Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
  • Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Genetics, Schizophrenia, Psychiatry, Internal medicine and Psychosis. Genetics is represented through his Allele, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Locus research. As a part of the same scientific family, David A. Collier mostly works in the field of Genome-wide association study, focusing on Odds ratio and, on occasion, Case-control study.

His Genetic association research is multidisciplinary, incorporating elements of Linkage disequilibrium and Disease. His Schizophrenia research includes themes of Bipolar disorder, Neuroscience and Copy-number variation. His research integrates issues of Endocrinology, Polymorphism and Oncology in his study of Internal medicine.

He most often published in these fields:

  • Genetics (48.37%)
  • Schizophrenia (26.47%)
  • Psychiatry (22.88%)

What were the highlights of his more recent work (between 2014-2021)?

  • Genetics (48.37%)
  • Genome-wide association study (19.77%)
  • Schizophrenia (26.47%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Genetics, Genome-wide association study, Schizophrenia, Psychiatry and Genetic association. His research investigates the link between Genetics and topics such as Schizophrenia that cross with problems in DNA methylation and Neuroscience. He focuses mostly in the field of Genome-wide association study, narrowing it down to matters related to Drug development and, in some cases, Clinical study design.

His work deals with themes such as Bipolar disorder, Internal medicine, Psychosis and Phenotype, which intersect with Schizophrenia. His Eating disorders and Psychiatric genetics study in the realm of Psychiatry interacts with subjects such as Identification. His studies deal with areas such as Disease and Genomics as well as Genetic association.

Between 2014 and 2021, his most popular works were:

  • Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection (685 citations)
  • Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection (685 citations)
  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores (575 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Internal medicine
  • Genetics

His primary areas of investigation include Genome-wide association study, Genetics, Psychiatry, Schizophrenia and Odds ratio. His Genome-wide association study study incorporates themes from Epigenetics and Genetic architecture. His work in Genetics is not limited to one particular discipline; it also encompasses Schizophrenia.

His Psychiatry study integrates concerns from other disciplines, such as Computational biology and Genetic association. His studies in Genetic association integrate themes in fields like Disease and Genomics. His work is dedicated to discovering how Schizophrenia, Internal medicine are connected with Linkage disequilibrium and Endocrinology and other disciplines.

Best Publications

  • Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

    Paul R. Burton;David G. Clayton;Lon R. Cardon;Nick Craddock

  • Biological insights from 108 schizophrenia-associated genetic loci

    Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters

  • Normative data on a battery of neuropsychological tests in the Han Chinese population

    Qiang Wang;Jinhua Sun;Xiaohong Ma;Yingcheng Wang

  • Genome-wide association study identifies five new schizophrenia loci

    Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson

  • Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

    S. Hong Lee;Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Stephen V. Faraone

  • Large recurrent microdeletions associated with schizophrenia

    Hreinn Stefansson;Dan Rujescu;Sven Cichon;Olli P. H. Pietilainen

  • Common variants conferring risk of schizophrenia

    Hreinn Stefansson;Hreinn Stefansson;Roel A. Ophoff;Roel A. Ophoff;Roel A. Ophoff;Stacy Steinberg;Stacy Steinberg;Ole A. Andreassen

  • Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection

    Antonio F. Pardiñas;Peter Holmans;Andrew J. Pocklington;Valentina Escott-Price

  • Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4

    Pamela Sklar;Pamela Sklar;Stephan Ripke;Stephan Ripke;Laura J. Scott;Ole A. Andreassen

  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev

  • Genome-wide association study identifies eight loci associated with blood pressure

    Christopher Newton-Cheh;Christopher Newton-Cheh;Toby Johnson;Toby Johnson;Vesela Gateva;Martin D. Tobin

  • Collaborative genome-wide association analysis supports a role for ANK3 and CACNA1C in bipolar disorder

    Manuel A R Ferreira;Michael C O'Donovan;Yan A Meng;Ian R Jones

  • Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants

    Paul R Burton;David G Clayton;Lon R Cardon;Nick Craddock

  • Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

    Phil H. Lee;Verneri Anttila;Hyejung Won;Yen-Chen A. Feng

  • Inter and intraobserver variability of total skin thickness score (modified Rodnan TSS) in systemic sclerosis

    P Clements;P Lachenbruch;J Siebold;B White

  • Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

    Christian R Marshall;Daniel P Howrigan;Daniel P Howrigan;Daniele Merico;Bhooma Thiruvahindrapuram

  • A novel functional polymorphism within the promoter of the serotonin transporter gene: possible role in susceptibility to affective disorders

    D. A. Collier;G. Stober;T. Li;A. Heils

  • The same sequence variant on 9p21 associates with myocardial infarction, abdominal aortic aneurysm and intracranial aneurysm

    Anna Helgadottir;Gudmar Thorleifsson;Kristinn P Magnusson;Solveig Grétarsdottir

  • Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

    Colm O'Dushlaine;Lizzy Rossin;Phil H. Lee;Laramie Duncan;Laramie Duncan

  • The UK10K project identifies rare variants in health and disease

    Klaudia Walter;Josine L. Min;Jie Huang;Lucy Crooks

Frequent Co-Authors

Robin M. Murray
Robin M. Murray King's College London
Gerome Breen
Gerome Breen King's College London
Pak C. Sham
Pak C. Sham University of Hong Kong
Janet Treasure
Janet Treasure King's College London
Dan Rujescu
Dan Rujescu Medical University of Vienna
Michael Conlon O'Donovan
Michael Conlon O'Donovan Cardiff University
Michael John Owen
Michael John Owen Cardiff University
Roel A. Ophoff
Roel A. Ophoff University of California, Los Angeles
Maria Arranz
Maria Arranz King's College London
Elvira Bramon
Elvira Bramon University College London

External Links

Personal website of David A. Collier

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