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Burkhard Rost

1983–2025 年に発表

229
論文数
43,406
被引用数
102
h 指数
199
i10 指数

被引用数

Burkhard Rost の年別被引用数1894 年: 被引用 1 件1971 年: 被引用 1 件1973 年: 被引用 1 件1975 年: 被引用 1 件1979 年: 被引用 1 件1981 年: 被引用 1 件1983 年: 被引用 4 件1985 年: 被引用 1 件1989 年: 被引用 2 件1990 年: 被引用 2 件1992 年: 被引用 1 件1993 年: 被引用 9 件1994 年: 被引用 59 件1995 年: 被引用 142 件1996 年: 被引用 186 件1997 年: 被引用 287 件1998 年: 被引用 285 件1999 年: 被引用 318 件2000 年: 被引用 316 件2001 年: 被引用 310 件2002 年: 被引用 409 件2003 年: 被引用 578 件2004 年: 被引用 626 件2005 年: 被引用 707 件2006 年: 被引用 657 件2007 年: 被引用 578 件2008 年: 被引用 537 件2009 年: 被引用 532 件2010 年: 被引用 528 件2011 年: 被引用 498 件2012 年: 被引用 454 件2013 年: 被引用 464 件2014 年: 被引用 408 件2015 年: 被引用 416 件2016 年: 被引用 369 件2017 年: 被引用 401 件2018 年: 被引用 397 件2019 年: 被引用 895 件2020 年: 被引用 879 件2021 年: 被引用 1,016 件2022 年: 被引用 971 件2023 年: 被引用 936 件2024 年: 被引用 1,347 件2025 年: 被引用 1,036 件2026 年: 被引用 207 件1895〜1970 年は被引用が無いため表示していません1972 年は被引用が無いため表示していません1974 年は被引用が無いため表示していません1976〜1978 年は被引用が無いため表示していません1980 年は被引用が無いため表示していません1982 年は被引用が無いため表示していません1984 年は被引用が無いため表示していません1986〜1988 年は被引用が無いため表示していません1991 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 4,945 件、この内訳の 26.7%中国: 引用元論文 1,999 件、この内訳の 10.8%イギリス: 引用元論文 1,383 件、この内訳の 7.5%ドイツ: 引用元論文 1,246 件、この内訳の 6.7%フランス: 引用元論文 655 件、この内訳の 3.5%カナダ: 引用元論文 623 件、この内訳の 3.4%イタリア: 引用元論文 577 件、この内訳の 3.1%インド: 引用元論文 526 件、この内訳の 2.8%オーストラリア: 引用元論文 487 件、この内訳の 2.6%日本: 引用元論文 460 件、この内訳の 2.5%スペイン: 引用元論文 384 件、この内訳の 2.1%スイス: 引用元論文 365 件、この内訳の 2%
0%26.7%その他 26.3%

機関

分野

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

トピック

  • 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%
  • その他60.4%

共著者

全論文

検索で開く
  1. ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning

    著者: 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 被引用: 2,269

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

    著者: Michael Heinzinger, Ahmed Elnaggar, Yu Wang, Christian Dallago, Dmitrii Nechaev, Florian Matthes, Burkhard Rost - BMC Bioinformatics, BMC Bioinform. 2019 被引用: 636

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

    著者: 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 ほか 2 名 - Nature Methods 2013 被引用: 1,095

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

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

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

    著者: 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 被引用: 990

  6. Twilight zone of protein sequence alignments

    著者: Burkhard Rost - Protein Engineering Design and Selection 1999 被引用: 1,865

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

    著者: 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 被引用: 365

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

    著者: Céline Marquet, Michael Heinzinger, Tobias Olenyi, Christian Dallago, Kyra Erckert, Michael Bernhofer, Dmitrii Nechaev, Burkhard Rost - Human Genetics 2021 被引用: 173

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

    著者: Konstantin Weißenow, Michael Heinzinger, Burkhard Rost - Structure 2022 被引用: 138

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

    著者: 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 被引用: 902

  11. Bilingual Language Model for Protein Sequence and Structure

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

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

    著者: 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 被引用: 123

  13. Better prediction of functional effects for sequence variants

    著者: Maximilian Hecht, Yana Bromberg, Burkhard Rost - BMC Genomics 2015 被引用: 664

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

    著者: Jiajun Qiu, Michael Bernhofer, Michael Heinzinger, Sofie Kemper, Tomás Norambuena, Francisco Melo, Burkhard Rost - Journal of Molecular Biology 2020 被引用: 143

  15. Novel machine learning approaches revolutionize protein knowledge

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

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

    著者: Yana Bromberg, Burkhard Rost - Nucleic Acids Research 2007 被引用: 876

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

    著者: 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 被引用: 211

  18. Conservation and prediction of solvent accessibility in protein families

    著者: Burkhard Rost, Chris Sander - Proteins Structure Function and Bioinformatics 1994 被引用: 677

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

    著者: 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 被引用: 84

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

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

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

    著者: 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 被引用: 306

  22. SETH predicts nuances of residue disorder from protein embeddings

    著者: Dagmar Ilzhöfer, Michael Heinzinger, Burkhard Rost - Frontiers in Bioinformatics, Frontiers Bioinform. 2022 被引用: 54

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

    著者: 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 被引用: 59

  24. Unexpected features of the dark proteome

    著者: 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 被引用: 216