World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
69
Citations
33392
World Ranking
7222
National Ranking
550

Lynne J. Hocking 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 Lynne J. Hocking 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: 134 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Lynne J. Hocking 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 Lynne J. Hocking 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: 69 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Lynne J. Hocking is affiliated with the University of Aberdeen in the United Kingdom. Their research primarily focuses on medicine, with a notable emphasis on genetics, hematology, molecular biology, and related subfields. The scientist's work intersects several main topics including genomics and rare diseases, genomic variations and chromosomal abnormalities, iron metabolism and disorders, erythropoietin and anemia treatment, hemoglobinopathies and related disorders, genetic factors in colorectal cancer, and lipid metabolism and disorders.

Their recent scholarly papers include the following:

  • Genome sequencing with gene panel-based analysis for rare inherited conditions in a publicly funded healthcare system: implications for future testing (2022), European Journal of Human Genetics
  • Meta-analysis of 49,549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels (2020), Digital Commons@Becker (Washington University School of Medicine)
  • Comparison of two ferritin assay platforms to assess their level of agreement in measuring serum and plasma ferritin levels in patients with chronic kidney disease (2023), BMC Nephrology
  • Should Scotland provide genome-wide sequencing for the diagnosis of rare developmental disorders? A cost-effectiveness analysis (2024), The European Journal of Health Economics
  • Genome-wide association summary statistics of antidepressant treatment resistance meta-analysis (2020), University of Edinburgh

Frequent co-authors who have collaborated on three or more occasions with Lynne J. Hocking include Jonathan Berg, Ruth McGowan, Sandosh Padmanabhan, and Caroline Hayward. Morad Ansari is also a notable frequent collaborator with two joint publications.

Their publications appear primarily in the following venues:

  • UNC Libraries (2 publications)
  • European Journal of Human Genetics (1 publication)
  • Digital Commons@Becker (Washington University School of Medicine) (1 publication)
  • BMC Nephrology (1 publication)
  • The European Journal of Health Economics (1 publication)

Lynne J. Hocking's body of work contributes across multiple intersecting fields within medicine and genetic research, focusing on the genetic basis and molecular mechanisms of rare diseases and disorders related to blood and metabolism.

Best Publications

  • Guidelines for the use and interpretation of assays for monitoring autophagy

    Daniel J. Klionsky;Fabio C. Abdalla;Hagai Abeliovich;Robert T. Abraham

  • Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

    James J. Lee;Robbee Wedow;Aysu Okbay;Edward Kong

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

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

  • Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci

    Eli A Stahl;Soumya Raychaudhuri;Soumya Raychaudhuri;Elaine F Remmers;Gang Xie

  • Genome-wide association study identifies 74 loci associated with educational attainment

    Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee

  • Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture

    Karol Estrada;Unnur Styrkarsdottir;Evangelos Evangelou;Yi-Hsiang Hsu

  • 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

  • Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

    Richard Karlsson Linnér;Richard Karlsson Linnér;Pietro Biroli;Edward Kong;S. Fleur W. Meddens;S. Fleur W. Meddens

  • Multi-Ethnic Genome-wide Association Study for Atrial Fibrillation

    Carolina Roselli;Mark D. Chaffin;Lu Chen Weng;Lu Chen Weng;Stefanie Aeschbacher

  • Bone remodelling at a glance

    Julie C. Crockett;Michael J. Rogers;Fraser P. Coxon;Lynne J. Hocking

  • Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair

    Felix R. Day;Katherine S. Ruth;Deborah J Thompson;Kathryn L. Lunetta

  • Rheumatoid arthritis association at 6q23.

    Wendy Thomson;Anne Barton;Xiayi Ke;Steve Eyre

  • Cohort Profile: Generation Scotland: Scottish Family Health Study (GS:SFHS). The study, its participants and their potential for genetic research on health and illness

    Blair H Smith;Archie Campbell;Pamela Linksted;Bridie Fitzpatrick

  • Genetic variants at CD28, PRDM1, and CD2/CD58 are associated with rheumatoid arthritis risk

    Soumya Raychaudhuri;Soumya Raychaudhuri;Soumya Raychaudhuri;Brian P Thomson;Elaine F Remmers;Stephen Eyre

  • Domain-specific mutations in sequestosome 1 (SQSTM1) cause familial and sporadic Paget's disease

    Lynne J. Hocking;Gavin J.A. Lucas;Anna Daroszewska;Jon Mangion

  • Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation

    Ingrid E. Christophersen;Ingrid E. Christophersen;Ingrid E. Christophersen;Michiel Rienstra;Carolina Roselli;Carolina Roselli;Xiaoyan Yin;Xiaoyan Yin

  • KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference

    Gunter Schumann;Chunyu Liu;Chunyu Liu;Paul F. O'Reilly;He Gao

  • Large-Scale Genomic Analyses Link Reproductive Aging to Hypothalamic Signaling, Breast Cancer Susceptibility, and BRCA1-Mediated DNA Repair EDITORIAL COMMENT

    Felix R. Day;Katherine S. Ruth;Deborah J. Thompson;Kathryn L. Lunetta;Kathryn L. Lunetta

  • Large-scale genomic analyses link reproductive ageing to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair

    Felix R. Day;Katherine S. Ruth;Deborah J. Thompson;Kathryn L. Lunetta

  • Genome-wide association study identifies 74 loci associated with educational attainment

    Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee

Frequent Co-Authors

David J. Porteous
David J. Porteous University of Edinburgh
Blair H. Smith
Blair H. Smith University of Dundee
Caroline Hayward
Caroline Hayward University of Edinburgh
Sandosh Padmanabhan
Sandosh Padmanabhan University of Glasgow
Ian J. Deary
Ian J. Deary University of Edinburgh
André G. Uitterlinden
André G. Uitterlinden Erasmus University Rotterdam
Archie Campbell
Archie Campbell University of Edinburgh
Alexander Teumer
Alexander Teumer Greifswald University Hospital
Albert V. Smith
Albert V. Smith University of Michigan–Ann Arbor
Jennifer E. Huffman
Jennifer E. Huffman VA Boston Healthcare System

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