World's Best Scientists 2026 revealed!
Frédérique Lisacek

Frédérique Lisacek

D-Index & Metrics

Computer Science

D-Index
38
Citations
19076
World Ranking
9934
National Ranking
176

Frédérique Lisacek 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 Frédérique Lisacek sits on this spectrum.

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 publications 991+

This scientist: 173 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Frédérique Lisacek 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 Frédérique Lisacek sits on this spectrum.

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 D-Index 131+

This scientist: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Frédérique Lisacek is affiliated with the University of Geneva in Switzerland and has a body of work primarily in the fields of Biochemistry, Genetics, and Molecular Biology. Their research spans molecular biology, organic chemistry, spectroscopy, immunology, and cell biology, contributing significantly across these disciplines.

Their research focuses on key topics including glycosylation and glycoproteins, genomics and phylogenetic studies, carbohydrate chemistry and synthesis, advanced proteomics techniques, machine learning applications in bioinformatics, biomedical text mining, ontologies, and genetics and biomedical research.

Lisacek has published extensively in prominent scientific journals and venues. Frequent publication venues include PROTEOMICS with 19 works, bioRxiv from Cold Spring Harbor Laboratory with 9 papers, Glycobiology with 6, Nucleic Acids Research and Methods in Molecular Biology, each with 5 publications.

Recent papers authored or coauthored by Lisacek include:

  • Expasy, the Swiss Bioinformatics Resource Portal, as designed by its users (2021) in Nucleic Acids Research
  • Glycosaminoglycans: What Remains To Be Deciphered? (2023) in JACS Au
  • Glycoinformatics in the Artificial Intelligence Era (2022) in Chemical Reviews
  • LectomeXplore, an update of UniLectin for the discovery of carbohydrate-binding proteins based on a new lectin classification (2020) in Nucleic Acids Research
  • LectinOracle: A Generalizable Deep Learning Model for Lectin-Glycan Binding Prediction (2021) in Advanced Science

Frequent collaborators include Nicolle H. Packer, Daniel Kolarich, Naoyuki Taniguchi, Amos Bairoch, and Andrew J. Link, with collaboration counts between 19 and 24 joint works each.

Best Publications

  • pROC: an open-source package for R and S+ to analyze and compare ROC curves

    Xavier Arnaud Robin;Natacha Turck;Alexandre Hainard;Natalia Tiberti

  • Expasy, the Swiss Bioinformatics Resource Portal, as designed by its users.

    Séverine Duvaud;Chiara Gabella;Frédérique Lisacek;Frédérique Lisacek;Heinz Stockinger

  • Updates to the Symbol Nomenclature for Glycans guidelines.

    Sriram Neelamegham;Kiyoko Aoki-Kinoshita;Evan Bolton;Martin Frank

  • Processing strategies and software solutions for data‐independent acquisition in mass spectrometry

    Aivett Bilbao;Aivett Bilbao;Emmanuel Varesio;Jeremy Luban;Caterina Strambio-De-Castillia

  • The Use of Variable Q1 Isolation Windows Improves Selectivity in LC–SWATH–MS Acquisition

    Ying Zhang;Aivett Bilbao;Aivett Bilbao;Tobias Bruderer;Jeremy Luban

  • UniCarb-DB

    Catherine A. Hayes;Niclas G. Karlsson;Weston B. Struwe;Frederique Lisacek

  • UniCarbKB: building a knowledge platform for glycoproteomics.

    Matthew P. Campbell;Robyn A. Peterson;Julien Mariethoz;Elisabeth Gasteiger

  • GlyTouCan: an accessible glycan structure repository.

    Michael Tiemeyer;Kazuhiro Aoki;James Paulson;Richard D Cummings

  • GlyConnect: Glycoproteomics Goes Visual, Interactive, and Analytical.

    Davide Alocci;Julien Mariethoz;Julien Mariethoz;Alessandra Gastaldello;Alessandra Gastaldello;Elisabeth Gasteiger

  • Deciphering the human nucleolar proteome.

    Yohann Couté;Jennifer A. Burgess;Jean-Jacques Diaz;Christine Chichester

  • Unrestricted identification of modified proteins using MS/MS.

    Erik Ahrné;Markus Müller;Frederique Lisacek

  • UniLectin3D, a database of carbohydrate binding proteins with curated information on 3D structures and interacting ligands

    François Bonnardel;Julien Mariethoz;Sebastian Salentin;Xavier Robin

  • Towards a standardized bioinformatics infrastructure for N- and O-glycomics

    Miguel A. Rojas-Macias;Julien Mariethoz;Julien Mariethoz;Peter Andersson;Chunsheng Jin

  • X-Rank: A Robust Algorithm for Small Molecule Identification Using Tandem Mass Spectrometry

    Roman Mylonas;Yann Mauron;Alexandre Masselot;Pierre-Alain Binz

  • EasyProt — An easy-to-use graphical platform for proteomics data analysis

    Florent Gluck;Christine Hoogland;Christine Hoogland;Paola Antinori;Xavier Robin

  • Toolboxes for a standardised and systematic study of glycans

    Matthew P. Campbell;René Ranzinger;Thomas Lütteke;Julien Mariethoz

  • Bioinformatics for protein biomarker panel classification: what is needed to bring biomarker panels into in vitro diagnostics?

    Xavier Arnaud Robin;Natacha Turck;Alexandre Hainard;Frédérique Lisacek

  • Automatic Identification of Group I Intron Cores in Genomic DNA Sequences

    Frédérique Lisacek;Yolande Diaz;François Michel

  • UniCarbKB: Putting the pieces together for glycomics research

    Matthew P. Campbell;Catherine A. Hayes;Weston B. Struwe;Marc R. Wilkins

  • Glycomics@ExPASy: Bridging the Gap.

    Julien Mariethoz;Davide Alocci;Davide Alocci;Alessandra Gastaldello;Alessandra Gastaldello;Oliver Horlacher

  • Using argumentation to retrieve articles with similar citations: an inquiry into improving related articles search in the MEDLINE digital library.

    Imad Tbahriti;Christine Chichester;Frédérique Lisacek;Patrick Ruch

  • Norine: Update of the Nonribosomal Peptide Resource

    Areski Flissi;Emma Ricart;Emma Ricart;Clémentine Campart;Mickael Chevalier

  • Algorithms on Strings, Trees and Sequences: Dan Gusfield.

    Frederique Lisacek

Frequent Co-Authors

Nicolle H. Packer
Nicolle H. Packer Macquarie University
Ron D. Appel
Ron D. Appel Swiss Institute of Bioinformatics
Niclas G. Karlsson
Niclas G. Karlsson University of Gothenburg
Jean-Charles Sanchez
Jean-Charles Sanchez University of Geneva
Kiyoko F. Aoki-Kinoshita
Kiyoko F. Aoki-Kinoshita Soka University of America
Anne Imberty
Anne Imberty Grenoble Alpes University
Daniel Kolarich
Daniel Kolarich Griffith University
Elisabeth Gasteiger
Elisabeth Gasteiger Swiss Institute of Bioinformatics
Gérard Hopfgartner
Gérard Hopfgartner University of Geneva
Amos Marc Bairoch
Amos Marc Bairoch Swiss Institute of Bioinformatics

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