World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
81
Citations
26729
World Ranking
3840
National Ranking
57

Arne Elofsson 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 Arne Elofsson 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: 235 publications — 63rd percentile

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

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

Arne Elofsson 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 Arne Elofsson 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: 81 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Arne Elofsson is affiliated with the Science for Life Laboratory in Sweden. Their research primarily focuses on biochemistry, genetics, and molecular biology, with 156 publications in these fields. Within this broader area, Elofsson's work extensively covers subfields such as molecular biology, materials chemistry, computational theory and mathematics, spectroscopy, and cell biology.

The main topics addressed in Elofsson's research include:

  • Protein Structure and Dynamics
  • RNA and protein synthesis mechanisms
  • Machine Learning in Bioinformatics
  • Enzyme Structure and Function
  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • COVID-19 epidemiological studies

Elofsson has contributed to several recent scientific papers, including:

  • "Improved prediction of protein-protein interactions using AlphaFold2," published in 2022 in Nature Communications
  • "A structural biology community assessment of AlphaFold2 applications," published in 2022 in Nature Structural & Molecular Biology
  • "Critical assessment of protein intrinsic disorder prediction," published in 2021 in Nature Methods
  • "Towards a structurally resolved human protein interaction network," published in 2023 in Nature Structural & Molecular Biology
  • "Predicting the structure of large protein complexes using AlphaFold and Monte Carlo tree search," published in 2022 in Nature Communications

The frequent co-authors collaborating with Elofsson include Patrick Bryant, Gabriele Pozzati, Aditi Shenoy, Petras J. Kundrotas, and Wensi Zhu. These collaborations reflect a sustained engagement with researchers active in structural biology, computational methods, and protein interaction studies.

Regarding publication venues, Elofsson's work commonly appears in bioRxiv (Cold Spring Harbor Laboratory) with 30 contributions, followed by Bioinformatics, Proteins Structure Function and Bioinformatics, arXiv (Cornell University), and Nature Communications. These venues indicate a blend of preprint repositories and peer-reviewed journals specializing in computational biology and structural bioinformatics.

Best Publications

  • Prediction of transmembrane alpha-helices in prokaryotic membrane proteins: the dense alignment surface method.

    M Cserzö;E Wallin;I Simon;G von Heijne

  • Detecting sequence signals in targeting peptides using deep learning.

    Jose Juan Almagro Armenteros;Marco Salvatore;Marco Salvatore;Olof Emanuelsson;Olof Emanuelsson;Ole Winther;Ole Winther;Ole Winther

  • Can correct protein models be identified

    Björn Wallner;Arne Elofsson

  • The TOPCONS web server for consensus prediction of membrane protein topology and signal peptides

    Konstantinos D. Tsirigos;Christoph Peters;Nanjiang Shu;Lukas Käll

  • 3D-Jury: a simple approach to improve protein structure predictions

    Krzysztof Ginalski;Arne Elofsson;Daniel Fischer;Leszek Rychlewski

  • TOPCONS: consensus prediction of membrane protein topology

    Andreas Bernsel;Håkan Viklund;Aron Hennerdal;Arne Elofsson

  • TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments.

    Lifan Chen;Xiaoqin Tan;Dingyan Wang;Feisheng Zhong

  • Structure is three to ten times more conserved than sequence--a study of structural response in protein cores.

    Kristoffer Illergård;David H. Ardell;David H. Ardell;Arne Elofsson

  • MaxSub: an automated measure for the assessment of protein structure prediction quality.

    Naomi Siew;Arne Elofsson;Leszek Rychlewski;Daniel Fischer

  • OCTOPUS: Improving topology prediction by two-track ANN-based preference scores and an extended topological grammar

    Håkan Viklund;Arne Elofsson

  • What properties characterize the hub proteins of the protein-protein interaction network of Saccharomyces cerevisiae?

    Diana Ekman;Sara Light;Åsa K Björklund;Arne Elofsson

  • Molecular recognition of a single sphingolipid species by a protein’s transmembrane domain

    F.-Xabier Contreras;Andreas M. Ernst;Per Haberkant;Per Haberkant;Patrik Björkholm;Patrik Björkholm

  • Pcons: a neural-network-based consensus predictor that improves fold recognition.

    Jesper Lundström;Leszek Rychlewski;Janusz Bujnicki;Arne Elofsson

  • Prediction of MHC class I binding peptides, using SVMHC

    Pierre Dönnes;Arne Elofsson

  • Prediction of membrane-protein topology from first principles

    Andreas Bernsel;Håkan Viklund;Jenny Falk;Erik Lindahl

  • DisProt 7.0: a major update of the database of disordered proteins.

    Damiano Piovesan;Francesco Tabaro;Francesco Tabaro;Ivan Micetic;Marco Necci

  • Community-wide assessment of GPCR structure modelling and ligand docking: GPCR Dock 2008

    Mayako Michino;Enrique Abola;Charles L. Brooks;J. Scott Dixon

  • Best α‐helical transmembrane protein topology predictions are achieved using hidden Markov models and evolutionary information

    Håkan Viklund;Arne Elofsson

  • Membrane Protein Structure: Prediction versus Reality

    Arne Elofsson;Gunnar von Heijne

  • Expansion of Protein Domain Repeats

    Åsa K Björklund;Diana Ekman;Arne Elofsson

Frequent Co-Authors

Gunnar von Heijne
Gunnar von Heijne Stockholm University
Leszek Rychlewski
Leszek Rychlewski BioInfoBank Institute
Peter Tompa
Peter Tompa Vrije Universiteit Brussel
Erik Lindahl
Erik Lindahl Stockholm University
Lennart Nilsson
Lennart Nilsson Karolinska Institute
Wim F. Vranken
Wim F. Vranken Vrije Universiteit Brussel
Rudolf Rigler
Rudolf Rigler Karolinska Institute
Vladimir N. Uversky
Vladimir N. Uversky University of South Florida
Chris Sander
Chris Sander Harvard University

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