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Helen Parkinson

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 66 2251 2184 128 126 221 42324

Helen Parkinson publications per year

The chart shows the history of publications by Helen Parkinson between 1997 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Helen Parkinson published across 29 years, from 1997 to 2025, averaging 11 papers a year. Output peaked at 26 publications in 2024. 45 of the 318 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1997 to 2025. Vertical axis: number of publications, 0 to 26. Peak 26 publications in 2024. 1997: 2 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 1 publication 2002: 5 publications 2003: 6 publications 2004: 8 publications 2005: 8 publications 2006: 16 publications 2007: 3 publications 2008: 5 publications 2009: 6 publications 2010: 12 publications 2011: 10 publications 2012: 12 publications 2013: 1 publication 2014: 11 publications 2015: 25 publications 2016: 21 publications 2017: 21 publications 2018: 14 publications 2019: 17 publications 2020: 13 publications 2021: 18 publications 2022: 14 publications 2023: 24 publications 2024: 26 publications 2025: 19 publications
1997 2025

318 publications in total across all disciplines

View publications per year as a table
Helen Parkinson: publications per year, 1997 to 2025
Year Publications
1997 2
1998 0
1999 0
2000 0
2001 1
2002 5
2003 6
2004 8
2005 8
2006 16
2007 3
2008 5
2009 6
2010 12
2011 10
2012 12
2013 1
2014 11
2015 25
2016 21
2017 21
2018 14
2019 17
2020 13
2021 18
2022 14
2023 24
2024 26
2025 19
Total 318
Download as CSV

Helen Parkinson publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Helen Parkinson sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 212–221 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 221 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490 221
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Helen Parkinson D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Helen Parkinson sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 66–67 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249 66
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Helen Parkinson is affiliated with the European Bioinformatics Institute in the United Kingdom. Their research primarily falls within the broad discipline of Biochemistry, Genetics, and Molecular Biology, with a significant focus on Molecular Biology and Genetics. They also contribute to areas involving Information Systems, Information Systems and Management, and Artificial Intelligence.

The scientist has published extensively on topics related to Biomedical Text Mining and Ontologies, Research Data Management Practices, Genetic Associations and Epidemiology, Scientific Computing and Data Management, Bioinformatics and Genomic Networks, Genomics and Rare Diseases, and CRISPR and Genetic Engineering.

Helen Parkinson's recent publications include the following papers:

  • The NHGRI-EBI GWAS Catalog: knowledgebase and deposition resource (2022, Nucleic Acids Research)
  • The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation (2021, Nature Genetics)
  • Open Targets Genetics: systematic identification of trait-associated genes using large-scale genetics and functional genomics (2020, Nucleic Acids Research)
  • Improving reporting standards for polygenic scores in risk prediction studies (2021, Nature)
  • A compendium of uniformly processed human gene expression and splicing quantitative trait loci (2021, Nature Genetics)

The scientist collaborates frequently with several coauthors, including Damian Smedley, Carole Goble, Michael Inouye, Ann-Marie Mallon, and Samuel A. Lambert.

Helen Parkinson's body of work has been published repeatedly in certain venues, indicating active participation in these academic platforms. These venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nucleic Acids Research
  • Zenodo (CERN European Organization for Nuclear Research)
  • Cancer Research
  • Nature

Best Publications

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

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

  • Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

    Alvis Brazma;Pascal Hingamp;John Quackenbush;Gavin Sherlock

  • The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019.

    Annalisa Buniello;Jacqueline A. L. MacArthur;Maria Cerezo;Laura W. Harris

  • The NHGRI GWAS Catalog, a curated resource of SNP-trait associations

    Danielle Welter;Jacqueline A. L. MacArthur;Joannella Morales;Tony Burdett

  • The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog).

    Jacqueline A. L. MacArthur;Emily Bowler;Maria Cerezo;Laurent Gil

  • ArrayExpress—a public repository for microarray gene expression data at the EBI

    Helen E. Parkinson;Ugis Sarkans;Mohammadreza Shojatalab;Niran Abeygunawardena

  • ArrayExpress—a public database of microarray experiments and gene expression profiles

    Helen E. Parkinson;Misha Kapushesky;Mohammadreza Shojatalab;Niran Abeygunawardena

  • ArrayExpress update—simplifying data submissions

    Nikolay Kolesnikov;Emma Hastings;Maria Keays;Olga Melnichuk

  • The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation.

    Samuel A Lambert;Laurent Gil;Laurent Gil;Laurent Gil;Simon Jupp;Scott C Ritchie

  • Open Targets Genetics: systematic identification of trait-associated genes using large-scale genetics and functional genomics.

    Maya Ghoussaini;Edward Mountjoy;Miguel Carmona;Gareth Peat

  • Expression Atlas update—an integrated database of gene and protein expression in humans, animals and plants

    Robert Petryszak;Maria Keays;Y. Amy Tang;Nuno A. Fonseca

  • Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data

    Warren A. Kibbe;Cesar Arze;Victor Felix;Elvira Mitraka

  • Modeling sample variables with an Experimental Factor Ontology

    James Malone;Ele Holloway;Tomasz Adamusiak;Misha Kapushesky

  • Open Targets: a platform for therapeutic target identification and validation.

    Gautier Koscielny;Peter An;Denise Carvalho-Silva;Jennifer A. Cham

  • ArrayExpress update—from an archive of functional genomics experiments to the atlas of gene expression

    Helen E. Parkinson;Misha Kapushesky;Nikolay Kolesnikov;Gabriella Rustici

  • Improving reporting standards for polygenic scores in risk prediction studies

    Hannah Wand;Samuel A Lambert;Cecelia Tamburro;Michael A Iacocca

  • ArrayExpress update—trends in database growth and links to data analysis tools

    Gabriella Rustici;Nikolay Kolesnikov;Marco Brandizi;Tony Burdett

  • A global map of human gene expression

    Margus Lukk;Misha Kapushesky;Janne Nikkilä;Helen Parkinson

  • A compendium of uniformly processed human gene expression and splicing quantitative trait loci.

    Nurlan Kerimov;James D Hayhurst;Kateryna Peikova;Jonathan R Manning

  • Expression Atlas update—a database of gene and transcript expression from microarray- and sequencing-based functional genomics experiments

    Robert Petryszak;Tony Burdett;Benedetto Fiorelli;Nuno A. Fonseca

  • ArrayExpress update—an archive of microarray and high-throughput sequencing-based functional genomics experiments

    Helen E. Parkinson;Ugis Sarkans;Nikolay Kolesnikov;Niran Abeygunawardena

  • A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB

    Tim F Rayner;Philippe Rocca-Serra;Paul T Spellman;Helen C Causton

  • ArrayExpress - a public repository for microarray gene expression data at the EBI

    Unknown

Frequent Co-Authors

Tony Burdett
Tony Burdett Earlham Institute
Alvis Brazma
Alvis Brazma European Bioinformatics Institute
Paul Flicek
Paul Flicek The Jackson Laboratory
Christian J. Stoeckert
Christian J. Stoeckert University of Pennsylvania
Damian Smedley
Damian Smedley Queen Mary University of London
Philippe Rocca-Serra
Philippe Rocca-Serra University of Oxford
Kevin C K Lloyd
Kevin C K Lloyd University of California, Davis
Susanna-Assunta Sansone
Susanna-Assunta Sansone University of Oxford
Ugis Sarkans
Ugis Sarkans European Bioinformatics Institute
Morris A. Swertz
Morris A. Swertz University Medical Center Groningen

External Links

Personal website of Helen Parkinson Google Scholar page

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Best Scientists Citing Helen Parkinson

Henning Hermjakob

Henning Hermjakob

European Bioinformatics Institute

Publications: 66

Morris A. Swertz

Morris A. Swertz

University Medical Center Groningen

Publications: 63

Kari Stefansson

Kari Stefansson

deCODE Genetics (Iceland)

Publications: 61

André G. Uitterlinden

André G. Uitterlinden

Erasmus University Rotterdam

Publications: 57

Robert Hoehndorf

Robert Hoehndorf

King Abdullah University of Science and Technology

Publications: 55

Tonu Esko

Tonu Esko

University of Tartu

Publications: 54

Susanna-Assunta Sansone

Susanna-Assunta Sansone

University of Oxford

Publications: 50

Christopher J. Mungall

Christopher J. Mungall

Lawrence Berkeley National Laboratory

Publications: 48

Philippe Rocca-Serra

Philippe Rocca-Serra

University of Oxford

Publications: 46

Alvis Brazma

Alvis Brazma

European Bioinformatics Institute

Publications: 45

Bruce M. Psaty

Bruce M. Psaty

University of Washington

Publications: 45

John P. A. Ioannidis

John P. A. Ioannidis

Stanford University

Publications: 45

Mark J. Daly

Mark J. Daly

Massachusetts General Hospital

Publications: 45

Mark I. McCarthy

Mark I. McCarthy

Genentech

Publications: 45

Andrew P. Morris

Andrew P. Morris

University of Liverpool

Publications: 45

Cisca Wijmenga

Cisca Wijmenga

University Medical Center Groningen

Publications: 44

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