World's Best Scientists 2026 revealed!
Darren R. Flower

Darren R. Flower

D-Index & Metrics

Biology and Biochemistry

D-Index
69
Citations
24141
World Ranking
7265
National Ranking
556

Darren R. Flower 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 Darren R. Flower 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: 258 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Darren R. Flower 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 Darren R. Flower 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

Darren R. Flower is affiliated with Aston University in the United Kingdom and has contributed to multiple fields including Biochemistry, Genetics and Molecular Biology, Computer Science, and Medicine. Their research spans several subfields such as Molecular Biology, Public Health, Environmental and Occupational Health, Computational Theory and Mathematics, Information Systems, and Economics and Econometrics.

Their main areas of study focus on Computational Drug Discovery Methods, vaccines and immunoinformatics approaches, Bioinformatics and Genomic Networks, Biotechnology and Related Fields, Genetics, Bioinformatics, and Biomedical Research, Software Engineering Techniques and Practices, and Gene expression and cancer classification.

Recent publications include:

  • Towards Effective Consensus Scoring in Structure-Based Virtual Screening, 2022, Interdisciplinary Sciences Computational Life Sciences
  • Drug Discovery: Today and Tomorrow, 2020, Bioinformation
  • West Nile Virus Vaccine Design by T Cell Epitope Selection: In Silico Analysis of Conservation, Functional Cross-Reactivity with the Human Genome, and Population Coverage, 2020, Journal of Immunology Research
  • Extracting prime protein targets as possible drug candidates: machine learning evaluation, 2023, Medical & Biological Engineering & Computing
  • To Affinity and Beyond: A Personal Reflection on the Design and Discovery of Drugs, 2022, Molecules

Frequent coauthors include:

  • Amit K. Chattopadhyay
  • Subhagata Chattopadhyay
  • Pedro A. Reche
  • Do Nhat Phuong
  • Frances M. Waller

Publication venues where the scientist has appeared more than once or prominently include:

  • Interdisciplinary Sciences Computational Life Sciences
  • Journal of Immunology Research
  • Bioinformation
  • Medical & Biological Engineering & Computing
  • Molecules

Best Publications

  • The lipocalin protein family: structure and function

    Darren R. Flower

  • VaxiJen: a server for prediction of protective antigens, tumour antigens and subunit vaccines

    Irini A Doytchinova;Darren R Flower

  • The lipocalin protein family: structural and sequence overview.

    Darren R. Flower;Anthony C.T. North;Clare E. Sansom

  • AllerTOP v.2—a server for in silico prediction of allergens

    Ivan Dimitrov;Ivan Bangov;Darren R. Flower;Irini Doytchinova

  • Bovine β-lactoglobulin at 1.8 Å resolution — still an enigmatic lipocalin

    Sharon Brownlow;João H. Morais Cabral;Ron Cooper;Darren R. Flower

  • PRINTS and its automatic supplement, prePRINTS

    Terri K. Attwood;Paul Bradley;Darren R. Flower;Anna Gaulton

  • ON THE PROPERTIES OF BIT STRING-BASED MEASURES OF CHEMICAL SIMILARITY

    Darren R. Flower

  • Pheromone binding to two rodent urinary proteins revealed by X-ray crystallography.

    Zsolt Böcskei;Colin R. Groom;Darren R. Flower;Darren R. Flower;Charles E. Wright

  • Structure and sequence relationships in the lipocalins and related proteins.

    Darren R. Flower;Anthony C.T. North;Teresa K. Attwood

  • Benchmarking B cell epitope prediction: underperformance of existing methods

    Martin J. Blythe;Darren R. Flower

  • AllerTOP - a server for in silico prediction of allergens

    Ivan Dimitrov;Darren R. Flower;Irini A. Doytchinova

  • Modelling G-protein-coupled receptors for drug design.

    Darren R Flower

  • Lipocalins: unity in diversity.

    Bo Åkerstrom;Darren R. Flower;Jean-Philippe Salier

  • PRINTS-S: the database formerly known as PRINTS

    Terri K. Attwood;Michael D. R. Croning;Darren R. Flower;A. P. Lewis

  • Determinants of Human Immunodeficiency Virus Type 1 Escape from the Primary CD8+ Cytotoxic T Lymphocyte Response

    Nicola A. Jones;Xiping Wei;Darren R. Flower;MaiLee Wong

  • MHCPred: a server for quantitative prediction of peptide–MHC binding

    Pingping Guan;Irini A. Doytchinova;Christianna Zygouri;Darren R. Flower

  • The lipocalin protein family: a role in cell regulation

    Darren R. Flower

  • In Silico Identification of Supertypes for Class II MHCs

    Irini A. Doytchinova;Darren R. Flower

  • Harnessing bioinformatics to discover new vaccines

    Matthew N. Davies;Darren R. Flower

  • AntiJen: a quantitative immunology database integrating functional, thermodynamic, kinetic, biophysical, and cellular data.

    Christopher P Toseland;Debra J Clayton;Helen McSparron;Shelley L Hemsley

Frequent Co-Authors

Teresa K. Attwood
Teresa K. Attwood University of Manchester
Persephone Borrow
Persephone Borrow University of Oxford
Jon Timmis
Jon Timmis University of Sunderland
Alex A. Freitas
Alex A. Freitas University of Kent
Jagadeesh Bayry
Jagadeesh Bayry Indian Institute of Technology Palakkad
Peter V. Coveney
Peter V. Coveney University College London
Vladimir Brusic
Vladimir Brusic University of Nottingham Ningbo China
Peter C. L. Beverley
Peter C. L. Beverley Jenner Institute
Gajendra P. S. Raghava
Gajendra P. S. Raghava Indraprastha Institute of Information Technology Delhi
Srini V. Kaveri
Srini V. Kaveri Centre national de la recherche scientifique, CNRS

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