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Biology and Biochemistry
UK
2026

D-Index & Metrics

Molecular Biology

D-Index
104
Citations
197190
World Ranking
452
National Ranking
33

Biology and Biochemistry

D-Index
106
Citations
198126
World Ranking
1122
National Ranking
61

Alex Bateman publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Alex Bateman sits on this spectrum.

47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47 publications 564+

This scientist: 220 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

Alex Bateman D-index placement in Molecular Biology in 2026

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

40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40 D-Index 145+

This scientist: 104 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Biology and Biochemistry in United Kingdom Leader Award
  • 2025 - Research.com Biology and Biochemistry in United Kingdom Leader Award
  • 2017 - Fellow of the International Society for Computational Biology
  • 1970 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Alex Bateman is affiliated with the European Bioinformatics Institute in the United Kingdom. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology with a particular focus on Molecular Biology.

Their scholarly work covers a broad spectrum of topics, including:

  • Genomics and Phylogenetic Studies
  • RNA and protein synthesis mechanisms
  • Machine Learning in Bioinformatics
  • Protein Structure and Dynamics
  • Enzyme Structure and Function
  • RNA modifications and cancer
  • Advanced Proteomics Techniques and Applications

Alex Bateman has contributed extensively to several prominent publication venues, notably:

  • Nucleic Acids Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics Advances
  • Nature
  • Bioinformatics

Frequent co-authors in their work include:

  • María Martin
  • Alan Bridge
  • Antonina Andreeva
  • Nicole Redaschi
  • Sandra Orchard

Notable recent publications by Alex Bateman include:

  • UniProt: the universal protein knowledgebase in 2021, 2020, published in Nucleic Acids Research
  • UniProt: the Universal Protein Knowledgebase in 2023, 2022, published in Nucleic Acids Research

Other significant papers in the broader research network of the field include:

  • Pfam: The protein families database in 2021, 2020, published in Nucleic Acids Research
  • Highly accurate protein structure prediction for the human proteome, 2021, published in Nature
  • InterPro in 2022, 2022, published in Nucleic Acids Research

Best Publications

  • Initial sequencing and analysis of the human genome.

    Eric S. Lander;Lauren M. Linton;Bruce Birren;Chad Nusbaum

  • The Pfam protein families database

    Marco Punta;Penny C. Coggill;Ruth Y. Eberhardt;Jaina Mistry

  • UniProt: A worldwide hub of protein knowledge

    Alex Bateman

  • UniProt: A hub for protein information

    Alex Bateman;Maria Jesus Martin;Claire O'Donovan;Michele Magrane

  • UniProt: the universal protein knowledgebase in 2021

    Alex Bateman;Maria-Jesus Martin;Sandra Orchard

  • Pfam: The protein families database in 2021.

    Jaina Mistry;Sara Chuguransky;Lowri Williams;Matloob Qureshi

  • Pfam: the protein families database.

    Robert D. Finn;Alex Bateman;Jody Clements;Penelope Coggill

  • miRBase: microRNA sequences, targets and gene nomenclature

    Sam Griffiths-Jones;Russell J. Grocock;Stijn van Dongen;Alex Bateman

  • The Gene Ontology Resource: 20 years and still GOing strong

    S. Carbon;E. Douglass;N. Dunn;B. Good

  • The Pfam protein families database: towards a more sustainable future

    Robert D. Finn;Penelope Coggill;Ruth Y. Eberhardt;Ruth Y. Eberhardt;Sean R. Eddy;Sean R. Eddy

  • The Pfam protein families database in 2019.

    Sara El-Gebali;Jaina Mistry;Alex Bateman;Sean R Eddy

  • Complete genome sequence of the model actinomycete Streptomyces coelicolor A3(2)

    S. D. Bentley;K. F. Chater;A.-M. Cerdeño-Tárraga;G. L. Challis;G. L. Challis

  • PyNAST: a flexible tool for aligning sequences to a template alignment

    J. Gregory Caporaso;Kyle Bittinger;Frederic D. Bushman;Todd Z. DeSantis

  • The Gene Ontology resource: enriching a GOld mine

    Seth Carbon;Eric Douglass;Benjamin M Good

  • Highly accurate protein structure prediction for the human proteome

    Kathryn Tunyasuvunakool;Jonas Adler;Zachary Wu;Tim Green

  • Activities at the Universal Protein Resource (UniProt)

    R Apweiler;A Bateman;MJ Martin;C O'Donovan

  • Pfam: clans, web tools and services

    Robert D. Finn;Jaina Mistry;Benjamin Schuster-Böckler;Sam Griffiths-Jones

  • InterPro: the integrative protein signature database

    Sarah Hunter;Rolf Apweiler;Teresa K. Attwood;Amos Bairoch

  • The InterPro Database, 2003 brings increased coverage and new features

    Nicola J Mulder;Rolf Apweiler;Teresa K Attwood;Amos Marc Bairoch

  • Rfam: an RNA family database

    Sam Griffiths-Jones;Alex Bateman;Mhairi Marshall;Ajay Khanna

Frequent Co-Authors

Sean R. Eddy
Sean R. Eddy Harvard University
Neil D. Rawlings
Neil D. Rawlings European Bioinformatics Institute
Sam Griffiths-Jones
Sam Griffiths-Jones University of Manchester
Teresa K. Attwood
Teresa K. Attwood University of Manchester
Rolf Apweiler
Rolf Apweiler European Bioinformatics Institute
Rodrigo Lopez
Rodrigo Lopez European Bioinformatics Institute
Richard Durbin
Richard Durbin University of Cambridge
Amos Marc Bairoch
Amos Marc Bairoch Swiss Institute of Bioinformatics
Cathy H. Wu
Cathy H. Wu University of Delaware
Sandra Orchard
Sandra Orchard European Bioinformatics Institute

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