Arne Elofsson

Active 1993–2026

141
Papers
21,644
Citations
75
h-index
125
i10-index

Citations

Citations per year for Arne Elofsson1920: 1 citations1969: 1 citations1981: 1 citations1992: 1 citations1994: 1 citations1995: 3 citations1996: 2 citations1997: 6 citations1998: 10 citations1999: 32 citations2000: 51 citations2001: 104 citations2002: 105 citations2003: 180 citations2004: 174 citations2005: 248 citations2006: 285 citations2007: 241 citations2008: 274 citations2009: 249 citations2010: 200 citations2011: 200 citations2012: 191 citations2013: 201 citations2014: 160 citations2015: 160 citations2016: 186 citations2017: 198 citations2018: 181 citations2019: 471 citations2020: 434 citations2021: 585 citations2022: 600 citations2023: 531 citations2024: 688 citations2025: 428 citations2026: 75 citations1921–1968: no citations, so these years are not shown1970–1980: no citations, so these years are not shown1982–1991: no citations, so these years are not shown1993: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,010 citing papers, 23.3% of this breakdownChina: 963 citing papers, 11.2% of this breakdownGermany: 622 citing papers, 7.2% of this breakdownUnited Kingdom: 587 citing papers, 6.8% of this breakdownFrance: 326 citing papers, 3.8% of this breakdownSweden: 292 citing papers, 3.4% of this breakdownIndia: 253 citing papers, 2.9% of this breakdownCanada: 238 citing papers, 2.8% of this breakdownAustralia: 215 citing papers, 2.5% of this breakdownItaly: 213 citing papers, 2.5% of this breakdownSwitzerland: 212 citing papers, 2.5% of this breakdownSpain: 198 citing papers, 2.3% of this breakdown
0%23.3%Other 28.8%

Fields

  • Biochemistry, Genetics and Molecular Biology68.3%
  • Computer Science9.9%
  • Medicine6.7%
  • Agricultural and Biological Sciences3.2%
  • Immunology and Microbiology2%
  • Materials Science1.9%
  • Other8%

Topics

  • Protein Structure and Dynamics12.9%
  • Machine Learning in Bioinformatics7.3%
  • RNA and protein synthesis mechanisms6.5%
  • Enzyme Structure and Function5.2%
  • Computational Drug Discovery Methods5.1%
  • Genomics and Phylogenetic Studies4.3%
  • Other58.7%

Coauthors

All papers

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

    Authors: , , , , , , , , , , - Bioinformatics, Bioinform. 2020 cited by 568

  2. A structural biology community assessment of AlphaFold2 applications

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Amelie Stein, Arne Elofsson, Tristan I. Croll, Pedro Beltrão - Nature Structural & Molecular Biology 2022 cited by 718

  3. Detecting sequence signals in targeting peptides using deep learning

    Authors: , , , , , , - Life Science Alliance 2019 cited by 1,114

  4. Critical assessment of protein intrinsic disorder prediction

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Tristan Bitard-Feildel, Gabriele Orlando, Zhenling Peng, Jinbo Xu, Sheng Wang, David T. Jones, Domenico Cozzetto, Fanchi Meng, Jing Yan, Jörg Gsponer, Jianlin Cheng, Tianqi Wu, Lukasz Kurgan, DisProt Curators, Vasilis J. Promponas, Stella Tamana, Cristina Marino‐Buslje, Elizabeth Martínez‐Pérez, Anastasia Chasapi, Christos Ouzounis, A. Keith Dunker, Andrey V. Kajava, Jérémy Leclercq, Burcu Aykaç Fas, Matteo Lambrughi, Emiliano Maiani, Elena Papaleo, Lucía B. Chemes, Lucía Álvarez, Nicolás S. González Foutel, Valentín Iglesias, Jordi Pujols, Salvador Ventura, Nicolás Palópoli, Guillermo Ignacio Benítez, Gustavo Parisi, Claudio Bassot, Arne Elofsson, Sudha Govindarajan, John Lamb, Marco Salvatore, András Hatos, Alexander Miguel Monzón, Martina Bevilacqua, Ivan Mičetić, Giovanni Minervini, Lisanna Paladin, Federica Quaglia, Emanuela Leonardi, Norman E. Davey, Tamás Horváth, Orsolya Panna Kovacs, Nikoletta Murvai, Rita Pancsa, Éva Schád, Beáta Szabó, Ágnes Tantos, Sandra Macedo‐Ribeiro, José A. Manso, Pedro José Barbosa Pereira, Radoslav Davidović, Nevena Veljković, Borbála Hajdu-Soltész, Mátyás Pajkos, Tamás Szaniszló, Mainak Guharoy, Tamás Lázár, Mauricio Macossay-Castillo, Péter Tompa, Silvio C. E. Tosatto - Nature Methods 2021 cited by 363

  5. Structure is three to ten times more conserved than sequence—A study of structural response in protein cores

    Authors: , , - Proteins Structure Function and Bioinformatics 2009 cited by 597

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

    Authors: , , , , - Nucleic Acids Research, Nucleic Acids Res. 2015 cited by 1,001

  7. Progress at protein structure prediction, as seen in CASP15

    Authors: - Current Opinion in Structural Biology 2023 cited by 102

  8. DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Sandra Macedo-Ribeiro, Emiliano Maiani, Julia Marchetti, Cristina Marino Buslje, Attila Meszaros, Alexander Miguel Monzon, Giovanni Minervini, Suvarna Nadendla, Juliet F. Nilsson, Marián Novotný, Christos A. Ouzounis, Nicolas Palopoli, Elena Papaleo, Pedro J. Barbosa Pereira, Gabriele Pozzati, Vasilis J. Promponas, Jordi Pujols, Alma Carolina Sanchez Rocha, Martin Salas, Luciana Rodriguez Sawicki, Éva Schád, Aditi Shenoy, Tamás Szaniszló, Konstantinos D. Tsirigos, Nevena Veljkovic, Gustavo D. Parisi, Salvador Ventura, Zsuzsanna Dosztányi, Peter Tompa, Silvio C. E. Tosatto, Damiano Piovesan - Nucleic Acids Research, Nucleic Acids Res. 2021 cited by 189

  9. GraphQA: protein model quality assessment using graph convolutional networks

    Authors: , , , - Bioinformatics, Bioinform. 2020 cited by 124

  10. PconsC4: fast, accurate and hassle-free contact predictions

    Authors: , , - Bioinformatics, Bioinform. 2018 cited by 100

  11. The structural basis of hyperpromiscuity in a core combinatorial network of type II toxin–antitoxin and related phage defense systems

    Authors: , , , , , , , , , , , , , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2023 cited by 50

  12. AFTGAN: prediction of multi-type PPI based on attention free transformer and graph attention network

    Authors: , , , , , - Bioinformatics, Bioinform. 2023 cited by 41

  13. Molecular architecture of the active mitochondrial protein gate

    Authors: , , , , , , , , , , , , , , , , - Science 2015 cited by 234

  14. DisProt: intrinsic protein disorder annotation in 2020

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Emiliano Maiani, José A. Manso, Cristina Marino Buslje, Elizabeth Martínez-Pérez, Bálint Mészáros, Ivan Micetic, Giovanni Minervini, Nikoletta Murvai, Marco Necci, Christos A. Ouzounis, Mátyás Pajkos, Lisanna Paladin, Rita Pancsa, Elena Papaleo, Gustavo D. Parisi, Emilie Pasche, Pedro J. Barbosa Pereira, Vasilis J. Promponas, Jordi Pujols, Federica Quaglia, Patrick Ruch, Marco Salvatore, Éva Schád, Beáta Szabó, Tamás Szaniszló, Stella Tamana, Ágnes Tantos, Nevena Veljkovic, Salvador Ventura, Wim F. Vranken, Zsuzsanna Dosztányi, Peter Tompa, Silvio C. E. Tosatto, Damiano Piovesan - Nucleic Acids Research, Nucleic Acids Res. 2019 cited by 246

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Konstantinos D. Tsirigos, Nevena Veljkovic, Salvador Ventura, Wim F. Vranken, Per Warholm, Vladimir N. Uversky, A. Keith Dunker, Sonia Longhi, Peter Tompa, Silvio C. E. Tosatto - Nucleic Acids Research, Nucleic Acids Res. 2016 cited by 297

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

    Authors: , , , , , , , , , , , , - Nature 2012 cited by 373

  17. Peptide binder design with inverse folding and protein structure prediction

    Authors: , - Communications Chemistry 2023 cited by 34

  18. Can correct protein models be identified?

    Authors: , - Protein Science 2003 cited by 715

  19. ProQ3D: improved model quality assessments using deep learning

    Authors: , , , , - Bioinformatics, Bioinform. 2016 cited by 189

  20. EvoBind: in silico directed evolution of peptide binders with AlphaFold

    Authors: , - 2022 cited by 30

  21. Limits and potential of combined folding and docking

    Authors: , , , , , - Bioinformatics, Bioinform. 2021 cited by 24

  22. Towards a structurally resolved human protein interaction network

    Authors: , , , , , , , , , , , , , , , - Nature Structural & Molecular Biology 2021 cited by 261

  23. The interface of protein structure, protein biophysics, and molecular evolution

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Joseph W. Thornton, Daniel Weinreich, Simon Whelan - Protein Science 2012 cited by 233

  24. Estimation of model accuracy in CASP13

    Authors: , , , , , , , , , , , , , - Proteins Structure Function and Bioinformatics 2019 cited by 100