World's Best Scientists 2026 revealed!
Jason D. Cooper

Jason D. Cooper

D-Index & Metrics

Biology and Biochemistry

D-Index
62
Citations
23290
World Ranking
10537
National Ranking
802

Jason D. Cooper publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Jason D. Cooper sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 114 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Jason D. Cooper D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Jason D. Cooper sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 62 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Jason D. Cooper is a researcher affiliated with AstraZeneca in the United Kingdom, focusing on medicine, psychology, and neuroscience. Their main fields of study include psychiatry and mental health, experimental and cognitive psychology, biological psychiatry, pulmonary and respiratory medicine, and social psychology.

Their research covers a range of topics with particular emphasis on bipolar disorder and treatment, tryptophan and brain disorders, mental health research topics, mental health treatment and access, adolescent and pediatric healthcare, electrolyte and hormonal disorders, and stress responses and cortisol.

Cooper has contributed to several recent publications, including:

  • A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data, 2021, Translational Psychiatry
  • Metabolomic Biomarker Signatures for Bipolar and Unipolar Depression, 2023, JAMA Psychiatry
  • A Combined Digital and Biomarker Diagnostic Aid for Mood Disorders (the Delta Trial): Protocol for an Observational Study, 2020, JMIR Research Protocols
  • Diagnostic prediction model development using data from dried blood spot proteomics and a digital mental health assessment to identify major depressive disorder among individuals presenting with low mood, 2020, Brain Behavior and Immunity
  • Impact of a Web-Based Psychiatric Assessment on the Mental Health and Well-Being of Individuals Presenting With Depressive Symptoms: Longitudinal Observational Study, 2020, JMIR Mental Health

Frequent coauthors include Jakub Tomasik, Sung Yeon Sarah Han, Giles Barton-Owen, Tony Olmert, and Paweł Eljasz, each having collaborated with Cooper on multiple occasions.

Cooper's work has been published primarily in venues such as Translational Psychiatry, JAMA Psychiatry, JMIR Research Protocols, Brain Behavior and Immunity, and JMIR Mental Health, reflecting an interdisciplinary approach spanning psychiatry, neuroscience, and psychology.

Best Publications

  • Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes

    Jeffrey C Barrett;David G Clayton;Patrick Concannon;Beena Akolkar

  • Common genetic determinants of vitamin D insufficiency: a genome-wide association study

    Thomas J. Wang;Feng Zhang;J. Brent Richards;Bryan Kestenbaum

  • Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes.

    John A. Todd;Neil M. Walker;Jason D. Cooper;Deborah J. Smyth

  • Causal relationship between obesity and vitamin D status: bi-directional Mendelian randomization analysis of multiple cohorts.

    Karani S. Vimaleswaran;Diane J. Berry;Emmi Tikkanen;Emmi Tikkanen;Stefan Pilz;Stefan Pilz

  • Shared and distinct genetic variants in type 1 diabetes and celiac disease.

    Deborah J. Smyth;Vincent Plagnol;Neil M. Walker;Jason D. Cooper

  • Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls

    Nick Craddock;Matthew E. Hurles;Niall Cardin;Richard D. Pearson

  • A genome-wide association study of nonsynonymous SNPs identifies a type 1 diabetes locus in the interferon-induced helicase (IFIH1) region.

    Deborah J Smyth;Jason D Cooper;Rebecca Bailey;Sarah Field

  • Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers.

    Suna Onengut-Gumuscu;Wei-Min Chen;Oliver Burren;Nick J Cooper

  • Localization of type 1 diabetes susceptibility to the MHC class I genes HLA-B and HLA-A

    Sergey Nejentsev;Joanna M. M. Howson;Neil M. Walker;Jeffrey Szeszko

  • Replication of an Association Between the Lymphoid Tyrosine Phosphatase Locus (LYP/PTPN22) With Type 1 Diabetes, and Evidence for Its Role as a General Autoimmunity Locus

    Deborah Smyth;Jason D. Cooper;Joanne E. Collins;Joanne M. Heward

  • Population structure, differential bias and genomic control in a large-scale, case-control association study.

    David G Clayton;Neil M Walker;Deborah J Smyth;Rebecca Pask

  • Meta-analysis of genome-wide association study data identifies additional type 1 diabetes risk loci.

    Jason D Cooper;Deborah J Smyth;Adam M Smiles;Vincent Plagnol

  • Large-scale genetic fine mapping and genotype-phenotype associations implicate polymorphism in the IL2RA region in type 1 diabetes

    Christopher E Lowe;Jason D Cooper;Todd Brusko;Neil M Walker

  • Detecting disease associations due to linkage disequilibrium using haplotype tags: a class of tests and the determinants of statistical power.

    Juliet M. Chapman;Jason D. Cooper;John A. Todd;David G. Clayton

  • Localization of a Type 1 Diabetes Locus in the IL2RA/CD25 Region by Use of Tag Single-Nucleotide Polymorphisms

    Adrian Vella;Jason D Cooper;Christopher E Lowe;Neil Walker

  • Causal Relationship between Obesity and Vitamin D Status: Bi-Directional Mendelian Randomization Analysis of Multiple Cohorts

    Karani S. Vimaleswaran;Diane J. Berry;Chen Lu;Emmi Tikkanen

  • Inherited Variation in Vitamin D Genes Is Associated With Predisposition to Autoimmune Disease Type 1 Diabetes

    Jason D. Cooper;Deborah J. Smyth;Neil M. Walker;Helen Stevens

  • Azithromycin blocks autophagy and may predispose cystic fibrosis patients to mycobacterial infection

    Maurizio Renna;Catherine Schaffner;Karen Brown;Shaobin Shang

  • A trans-acting locus regulates an anti-viral expression network and type 1 diabetes risk

    Matthias Heinig;Enrico Petretto;Chris Wallace;Leonardo Bottolo

  • Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers

    Suna Onengut-Gumuscu;Wei-Min Chen;Oliver Burren;Emily Farber

Frequent Co-Authors

John A. Todd
John A. Todd University of Oxford
Sabine Bahn
Sabine Bahn University of Cambridge
Deborah J. Smyth
Deborah J. Smyth University of Cambridge
Joanna M. M. Howson
Joanna M. M. Howson Novo Nordisk (United Kingdom)
David B. Dunger
David B. Dunger University of Cambridge
Willem H. Ouwehand
Willem H. Ouwehand University of Cambridge
David G. Clayton
David G. Clayton University of Cambridge
Vincent Plagnol
Vincent Plagnol University College London
Chris Wallace
Chris Wallace University of Cambridge

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