Sándor Vajda

Active 1981–2026

Also published as
Sandor Vajda
153
Papers
20,804
Citations
69
h-index
134
i10-index

Citations

Citations per year for Sándor Vajda1924: 1 citations1962: 1 citations1982: 1 citations1984: 4 citations1985: 4 citations1987: 3 citations1989: 8 citations1990: 16 citations1992: 2 citations1993: 2 citations1994: 3 citations1995: 7 citations1996: 4 citations1997: 23 citations1998: 29 citations1999: 32 citations2000: 47 citations2001: 55 citations2002: 64 citations2003: 89 citations2004: 82 citations2005: 163 citations2006: 87 citations2007: 168 citations2008: 177 citations2009: 161 citations2010: 183 citations2011: 181 citations2012: 209 citations2013: 237 citations2014: 259 citations2015: 263 citations2016: 276 citations2017: 216 citations2018: 218 citations2019: 625 citations2020: 705 citations2021: 719 citations2022: 686 citations2023: 553 citations2024: 871 citations2025: 502 citations2026: 68 citations1925–1961: no citations, so these years are not shown1963–1981: no citations, so these years are not shown1983: no citations, so this year is not shown1986: no citations, so this year is not shown1988: no citations, so this year is not shown1991: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,986 citing papers, 25.6% of this breakdownChina: 714 citing papers, 9.2% of this breakdownUnited Kingdom: 488 citing papers, 6.3% of this breakdownIndia: 441 citing papers, 5.7% of this breakdownGermany: 367 citing papers, 4.7% of this breakdownFrance: 288 citing papers, 3.7% of this breakdownItaly: 210 citing papers, 2.7% of this breakdownCanada: 197 citing papers, 2.5% of this breakdownSpain: 173 citing papers, 2.2% of this breakdownJapan: 163 citing papers, 2.1% of this breakdownSwitzerland: 154 citing papers, 2% of this breakdownNetherlands: 148 citing papers, 1.9% of this breakdown
0%25.6%Other 31.4%

Fields

  • Biochemistry, Genetics and Molecular Biology55.6%
  • Computer Science15.8%
  • Medicine14.8%
  • Immunology and Microbiology2.4%
  • Chemistry1.7%
  • Materials Science1.6%
  • Other8.1%

Topics

  • Protein Structure and Dynamics11.7%
  • Computational Drug Discovery Methods9.9%
  • Enzyme Structure and Function4.9%
  • vaccines and immunoinformatics approaches4.1%
  • Monoclonal and Polyclonal Antibodies Research3.4%
  • RNA and protein synthesis mechanisms3%
  • Other63%

Coauthors

All papers

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  1. The ClusPro web server for protein–protein docking

    Authors: , , , , , , , - Nature Protocols 2017 cited by 3,346

  2. Performance and Its Limits in Rigid Body Protein-Protein Docking

    Authors: , , , , - Structure 2020 cited by 729

  3. New additions to the ClusPro server motivated by CAPRI

    Authors: , , , , , , , - Proteins Structure Function and Bioinformatics 2016 cited by 631

  4. The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins

    Authors: , , , , , , , , - Nature Protocols 2015 cited by 673

  5. How good is automated protein docking?

    Authors: , , , , , , - Proteins Structure Function and Bioinformatics 2013 cited by 796

  6. Impact of AlphaFold on structure prediction of protein complexes: The CASP15‐CAPRI experiment

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Rituparna Smanta, Jeffrey J. Gray, Hao Li, Peicong Lin, Jiahua He, Huanyu Tao, Sheng‐You Huang, Jorge Roel‐Touris, Brian Jiménez‐García, Charles Christoffer, Anika Jain, Yuki Kagaya, Harini Kannan, Tsukasa Nakamura, Genki Terashi, Jacob Verburgt, Yuanyuan Zhang, Zicong Zhang, Hayato Fujuta, Masakazu Sekijima, Daisuke Kihara, Omeir Khan, Sergei Kotelnikov, Usman Ghani, Dzmitry Padhorny, Dmitri Beglov, Sándor Vajda, Dima Kozakov, Surendra S. Negi, Tiziana Ricciardelli, Didier Barradas‐Bautista, Zhen Cao, Mohit Chawla, Luigi Cavallo, Romina Oliva, Rui Yin, Melyssa Cheung, Johnathan D. Guest, Jessica Lee, Brian G. Pierce, Ben Shor, Tomer Cohen, Matan Halfon, Dina Schneidman‐Duhovny, Shaowen Zhu, Rujie Yin, Yuanfei Sun, Yang Shen, Martyna Maszota‐Zieleniak, Krzysztof K. Bojarski, Emilia A. Lubecka, Mateusz Marcisz, Annemarie Danielsson, Łukasz Dziadek, Margrethe Gaardløs, Artur Giełdoń, Adam Liwo, Sergey A. Samsonov, Rafał Ślusarz, Karolina Zięba, Adam K. Sieradzan, Cezary Czaplewski, Shinpei Kobayashi, Yuta Miyakawa, Yasuomi Kiyota, Mayuko Takeda‐Shitaka, Kliment Olechnovič, Lukas Valančauskas, Justas Dapkūnas, Česlovas Venclovas and 13 more - Proteins Structure Function and Bioinformatics 2023 cited by 81

  7. FTSite: high accuracy detection of ligand binding sites on unbound protein structures

    Authors: , , , , , - Bioinformatics, Bioinform. 2011 cited by 303

  8. PIPER: An FFT‐based protein docking program with pairwise potentials

    Authors: , , , - Proteins Structure Function and Bioinformatics 2006 cited by 879

  9. Quantifying the chameleonic properties of macrocycles and other high-molecular-weight drugs

    Authors: , , , , , - Drug Discovery Today 2016 cited by 275

  10. CAPRI: A Critical Assessment of PRedicted Interactions

    Authors: , , , , , , , - Proteins Structure Function and Bioinformatics 2003 cited by 710

  11. Cryptic binding sites on proteins: definition, detection, and druggability

    Authors: , , , , - Current Opinion in Chemical Biology 2018 cited by 208

  12. High Accuracy Prediction of PROTAC Complex Structures

    Authors: , , , , , , , , , , , , , - Journal of the American Chemical Society 2023 cited by 54

  13. Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Karolina Zięba, Carlos Adriel Del Carpio Munoz, Eiichiro Ichiishi, Ameya Harmalkar, Jeffrey J. Gray, Alexandre M. J. J. Bonvin, Francesco Ambrosetti, Rodrigo V. Honorato, Zuzana Jandová, Brian Jiménez‐García, Panagiotis I. Koukos, Siri van Keulen, Charlotte W. van Noort, Manon Réau, Jorge Roel‐Touris, Sergei Kotelnikov, Dzmitry Padhorny, Kathryn A. Porter, Andrey Alekseenko, Mikhail Ignatov, Israel Desta, Ryota Ashizawa, Zhuyezi Sun, Usman Ghani, Nasser Hashemi, Sándor Vajda, Dima Kozakov, Mireia Rosell, Luis Angel Rodríguez‐Lumbreras, Juan Fernández‐Recio, Agnieszka Karczyńska, Sergei Grudinin, Yumeng Yan, Hao Li, Peicong Lin, Sheng‐You Huang, Charles Christoffer, Genki Terashi, Jacob Verburgt, Daipayan Sarkar, Tunde Aderinwale, Xiao Wang, Daisuke Kihara, Tsukasa Nakamura, Yuya Hanazono, Ragul Gowthaman, Johnathan D. Guest, Rui Yin, Ghazaleh Taherzadeh, Brian G. Pierce, Didier Barradas‐Bautista, Zhen Cao, Luigi Cavallo, Romina Oliva, Yuanfei Sun, Shaowen Zhu, Yang Shen, Taeyong Park, Hyeonuk Woo, Jinsol Yang, Sohee Kwon, Jonghun Won, Chaok Seok, Yasuomi Kiyota, Shinpei Kobayashi, Yoshiki Harada, Mayuko Takeda‐Shitaka, Petras J. Kundrotas, Amar Singh, Ilya A. Vakser and 9 more - Proteins Structure Function and Bioinformatics 2021 cited by 127

  14. Critical Assessment of Methods for Predicting the 3D Structure of Proteins and Protein Complexes

    Authors: , , , , - Annual Review of Biophysics 2023 cited by 67

  15. Fragment-based identification of druggable 'hot spots' of proteins using Fourier domain correlation techniques

    Authors: , , , , , , , - Bioinformatics, Bioinform. 2009 cited by 457

  16. Application of asymmetric statistical potentials to antibody-protein docking

    Authors: , , , , , , , , - Bioinformatics, Bioinform. 2012 cited by 210

  17. Why Some Targets Benefit from beyond Rule of Five Drugs

    Authors: , , , - Journal of Medicinal Chemistry 2019 cited by 116

  18. Exploring the structural origins of cryptic sites on proteins

    Authors: , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2018 cited by 144

  19. How proteins bind macrocycles

    Authors: , , , , , , - Nature Chemical Biology 2014 cited by 403

  20. Improved Docking of Protein Models by a Combination of Alphafold2 and ClusPro

    Authors: , , , , , , , , , - 2021 cited by 74

  21. Mapping the binding sites of challenging drug targets

    Authors: , , - Current Opinion in Structural Biology 2022 cited by 38

  22. Exploring protein hotspots by optimized fragment pharmacophores

    Authors: , , , , , , , , , , , , , , , , , , - Nature Communications 2021 cited by 58

  23. Amidino-Rocaglates: A Potent Class of eIF4A Inhibitors

    Authors: , , , , , , , , , - Cell chemical biology 2019 cited by 79

  24. Kinase Atlas: Druggability Analysis of Potential Allosteric Sites in Kinases

    Authors: , , , , , , , , , , , - Journal of Medicinal Chemistry 2019 cited by 72