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Burkhard Rost

Active 1983–2025

229
Papers
43,406
Citations
102
h-index
199
i10-index

Citations

Citations per year for Burkhard Rost1894: 1 citations1971: 1 citations1973: 1 citations1975: 1 citations1979: 1 citations1981: 1 citations1983: 4 citations1985: 1 citations1989: 2 citations1990: 2 citations1992: 1 citations1993: 9 citations1994: 59 citations1995: 142 citations1996: 186 citations1997: 287 citations1998: 285 citations1999: 318 citations2000: 316 citations2001: 310 citations2002: 409 citations2003: 578 citations2004: 626 citations2005: 707 citations2006: 657 citations2007: 578 citations2008: 537 citations2009: 532 citations2010: 528 citations2011: 498 citations2012: 454 citations2013: 464 citations2014: 408 citations2015: 416 citations2016: 369 citations2017: 401 citations2018: 397 citations2019: 895 citations2020: 879 citations2021: 1,016 citations2022: 971 citations2023: 936 citations2024: 1,347 citations2025: 1,036 citations2026: 207 citations1895–1970: no citations, so these years are not shown1972: no citations, so this year is not shown1974: no citations, so this year is not shown1976–1978: no citations, so these years are not shown1980: no citations, so this year is not shown1982: no citations, so this year is not shown1984: no citations, so this year is not shown1986–1988: no citations, so these years are not shown1991: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,945 citing papers, 26.7% of this breakdownChina: 1,999 citing papers, 10.8% of this breakdownUnited Kingdom: 1,383 citing papers, 7.5% of this breakdownGermany: 1,246 citing papers, 6.7% of this breakdownFrance: 655 citing papers, 3.5% of this breakdownCanada: 623 citing papers, 3.4% of this breakdownItaly: 577 citing papers, 3.1% of this breakdownIndia: 526 citing papers, 2.8% of this breakdownAustralia: 487 citing papers, 2.6% of this breakdownJapan: 460 citing papers, 2.5% of this breakdownSpain: 384 citing papers, 2.1% of this breakdownSwitzerland: 365 citing papers, 2% of this breakdown
0%26.7%Other 26.3%

Institutions

Fields

  • Biochemistry, Genetics and Molecular Biology68.8%
  • Medicine11.2%
  • Computer Science6.8%
  • Agricultural and Biological Sciences3%
  • Immunology and Microbiology2.6%
  • Materials Science1.6%
  • Other6%

Topics

  • Protein Structure and Dynamics10.6%
  • Machine Learning in Bioinformatics9.9%
  • RNA and protein synthesis mechanisms6.2%
  • Genomics and Phylogenetic Studies4.8%
  • Bioinformatics and Genomic Networks4.2%
  • Enzyme Structure and Function3.9%
  • Other60.4%

Coauthors

All papers

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  1. ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning

    Authors: Ahmed Elnaggar, Michael Heinzinger, Christian Dallago, Ghalia Rehawi, Yu Wang, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Martin Steinegger, Debsindhu Bhowmik, Burkhard Rost - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2021 cited by 2,269

  2. Modeling aspects of the language of life through transfer-learning protein sequences

    Authors: Michael Heinzinger, Ahmed Elnaggar, Yu Wang, Christian Dallago, Dmitrii Nechaev, Florian Matthes, Burkhard Rost - BMC Bioinformatics, BMC Bioinform. 2019 cited by 636

  3. A large-scale evaluation of computational protein function prediction

    Authors: Predrag Radivojac, Wyatt T. Clark, Tal Oron, Alexandra M. Schnoes, Tobias Wittkop, Artem Sokolov, Kiley Graim, Christopher S. Funk, Karin Verspoor, Asa Ben‐Hur, Gaurav Pandey, Jeffrey M. Yunes, Ameet Talwalkar, Susanna Repo, Michael L Souza, Damiano Piovesan, Rita Casadio, Zheng Wang, Jianlin Cheng, Hai Fang, Julian Gough, Patrik Koskinen, Petri Törönen, Jussi Nokso-Koivisto, Liisa Holm, Domenico Cozzetto, Daniel Buchan, Kevin Bryson, David T. Jones, Bhakti Limaye, Harshal Inamdar, Avik Datta, Sunitha K Manjari, Rajendra Joshi, Meghana Chitale, Daisuke Kihara, Andreas Martin Lisewski, Serkan Erdin, Eric Venner, Olivier Lichtarge, Robert Rentzsch, Haixuan Yang, Alfonso E. Romero, Prajwal Bhat, Alberto Paccanaro, Tobias Hamp, Rebecca Kaßner, Stefan Seemayer, Esmeralda Vicedo, Christian Schaefer, Dominik Achten, Florian Auer, Ariane C. Boehm, Tatjana Braun, Maximilian Hecht, B. Mark Heron, Peter Hönigschmid, Thomas A. Hopf, Stefanie Kaufmann, Michael Kiening, Denis Krompaß, Cedric Landerer, Yannick Mahlich, Manfred Roos, Jari Björne, Tapio Salakoski, Andrew Wong, Hagit Shatkay, Fanny Gatzmann, I. Sommer, Mark N. Wass, Michael J.E. Sternberg, Nives Škunca, Fran Supek, Matko Bošnjak, Panče Panov, Sašo Džeroski, Tomislav Šmuc, Yiannis Kourmpetis, Aalt D. J. van Dijk, Cajo J. F. ter Braak, Yuanpeng Zhou, Qingtian Gong, Xinran Dong, Weidong Tian, Marco Falda, Paolo Fontana, Enrico Lavezzo, Barbara Di Camillo, Stefano Toppo, Liang Lan, Nemanja Djuric, Yuhong Guo, Slobodan Vučetić, Amos Bairoch, Michal Linial, Patricia C. Babbitt, Steven E. Brenner, Christine Orengo, Burkhard Rost and 2 more - Nature Methods 2013 cited by 1,095

  4. Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling

    Authors: Ahmed Elnaggar, Hazem Essam, Wafaa Salah-Eldin, Walid Moustafa, Mohamed Elkerdawy, Charlotte Rochereau, Burkhard Rost - arXiv (Cornell University), CoRR 2023 cited by 154

  5. A draft network of ligand–receptor-mediated multicellular signalling in human

    Authors: Jordan A. Ramilowski, Tatyana Goldberg, Jayson Harshbarger, Edda Kloppmann, Marina Lizio, Venkata Satagopam, Masayoshi Itoh, Hideya Kawaji, Piero Carninci, Burkhard Rost, Alistair R. R. Forrest - Nature Communications 2015 cited by 990

  6. Twilight zone of protein sequence alignments

    Authors: Burkhard Rost - Protein Engineering Design and Selection 1999 cited by 1,865

  7. ProtTrans: Towards Cracking the Language of Life’s Code Through Self-Supervised Learning

    Authors: Ahmed Elnaggar, Michael Heinzinger, Christian Dallago, Ghalia Rehawi, Yu Wang, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Martin Steinegger, Debsindhu Bhowmik, Burkhard Rost - 2020 cited by 365

  8. Embeddings from protein language models predict conservation and variant effects

    Authors: Céline Marquet, Michael Heinzinger, Tobias Olenyi, Christian Dallago, Kyra Erckert, Michael Bernhofer, Dmitrii Nechaev, Burkhard Rost - Human Genetics 2021 cited by 173

  9. Protein language-model embeddings for fast, accurate, and alignment-free protein structure prediction

    Authors: Konstantin Weißenow, Michael Heinzinger, Burkhard Rost - Structure 2022 cited by 138

  10. A Mutation in VPS35, Encoding a Subunit of the Retromer Complex, Causes Late-Onset Parkinson Disease

    Authors: Alexander Zimprich, Anna Benet‐Pagès, Walter Struhal, Elisabeth Graf, Sebastian Eck, Marc N. Offman, Dietrich Haubenberger, Sabine Spielberger, Eva C. Schulte, Peter Lichtner, Shaila C. Rössle, Norman Klopp, Elisabeth Wolf, Klaus Seppi, Walter Pirker, Stefan Presslauer, Brit Mollenhauer, Regina Katzenschlager, Thomas Foki, Christoph Hotzy, Eva M. Reinthaler, Ashot S. Harutyunyan, Róbert Královics, Annette Peters, Fritz Zimprich, Thomas Brücke, Werner Poewe, Eduard Auff, Claudia Trenkwalder, Burkhard Rost, Gerhard Ransmayr, Juliane Winkelmann, Thomas Meitinger, Tim M. Strom - The American Journal of Human Genetics 2011 cited by 902

  11. Bilingual Language Model for Protein Sequence and Structure

    Authors: Michael Heinzinger, Konstantin Weißenow, Joaquín Gómez Sánchez, Adrian Henkel, Milot Mirdita, Martin Steinegger, Burkhard Rost - NAR Genomics and Bioinformatics 2023 cited by 207

  12. Learned Embeddings from Deep Learning to Visualize and Predict Protein Sets

    Authors: Christian Dallago, Konstantin Schütze, Michael Heinzinger, Tobias Olenyi, Maria Littmann, Amy X. Lu, Kevin Yang, Seonwoo Min, Sungroh Yoon, James T. Morton, Burkhard Rost - Current Protocols 2021 cited by 123

  13. Better prediction of functional effects for sequence variants

    Authors: Maximilian Hecht, Yana Bromberg, Burkhard Rost - BMC Genomics 2015 cited by 664

  14. ProNA2020 predicts protein–DNA, protein–RNA, and protein–protein binding proteins and residues from sequence

    Authors: Jiajun Qiu, Michael Bernhofer, Michael Heinzinger, Sofie Kemper, Tomás Norambuena, Francisco Melo, Burkhard Rost - Journal of Molecular Biology 2020 cited by 143

  15. Novel machine learning approaches revolutionize protein knowledge

    Authors: Nicola Bordin, Christian Dallago, Michael Heinzinger, Stephanie Kim, Maria Littmann, Clemens Rauer, Martin Steinegger, Burkhard Rost, Christine Orengo - Trends in Biochemical Sciences 2022 cited by 74

  16. SNAP: predict effect of non-synonymous polymorphisms on function

    Authors: Yana Bromberg, Burkhard Rost - Nucleic Acids Research 2007 cited by 876

  17. ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

    Authors: Ahmed Elnaggar, Michael Heinzinger, Christian Dallago, Ghalia Rehawi, Yu Wang, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Martin Steinegger, Debsindhu Bhowmik, Burkhard Rost - arXiv (Cornell University), CoRR 2020 cited by 211

  18. Conservation and prediction of solvent accessibility in protein families

    Authors: Burkhard Rost, Chris Sander - Proteins Structure Function and Bioinformatics 1994 cited by 677

  19. ProteomicsDB: toward a FAIR open-source resource for life-science research

    Authors: Ludwig Lautenbacher, Patroklos Samaras, Julian Müller, Andreas Grafberger, Marwin Shraideh, Johannes Rank, Simon T. Fuchs, Tobias K. Schmidt, Matthew The, Christian Dallago, Holger Wittges, Burkhard Rost, Helmut Krcmar, Bernhard Küster, Mathias Wilhelm - Nucleic Acids Research, Nucleic Acids Res. 2021 cited by 84

  20. CodeTrans: Towards Cracking the Language of Silicone's Code Through Self-Supervised Deep Learning and High Performance Computing

    Authors: Ahmed Elnaggar, Wei Ding, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Silvia Severini, Florian Matthes, Burkhard Rost - arXiv (Cornell University), CoRR 2021 cited by 48

  21. What’s in a name? Why these proteins are intrinsically disordered

    Authors: A. Keith Dunker, M. Madan Babu, Elisar Barbar, Martin Blackledge, Sarah E. Bondos, Zsuzsanna Dosztányi, H. Jane Dyson, Julie D. Forman‐Kay, Mónika Fuxreiter, Jörg Gsponer, Kyou‐Hoon Han, David T. Jones, Sonia Longhi, Steven J. Metallo, Ken Nishikawa, Ruth Nussinov, Zoran Obradović, Rohit V. Pappu, Burkhard Rost, Philipp Selenko, Vinod Subramaniam, Joel L. Sussman, Péter Tompa, Vladimir N. Uversky - Intrinsically Disordered Proteins 2013 cited by 306

  22. SETH predicts nuances of residue disorder from protein embeddings

    Authors: Dagmar Ilzhöfer, Michael Heinzinger, Burkhard Rost - Frontiers in Bioinformatics, Frontiers Bioinform. 2022 cited by 54

  23. CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins

    Authors: Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzón, CAID predictors, Alex S. Holehouse, Daniel Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun‐Sop Han, Myong-Chol Ma, Lukasz Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdős, Silvio C. E. Tosatto, Damiano Piovesan - Nucleic Acids Research, Nucleic Acids Res. 2023 cited by 59

  24. Unexpected features of the dark proteome

    Authors: Nelson Perdigão, Julian Heinrich, Christian Stolte, Kenneth S. Sabir, Michael Buckley, Bruce Tabor, Beth Signal, Brian Gloss, Christopher Hammang, Burkhard Rost, Andrea Schafferhans, Séan O’Donoghue - National Academy of Sciences, Proceedings of the National Academy of Sciences 2015 cited by 216