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Sean Ekins

1996–2025 年に発表

243
論文数
18,262
被引用数
83
h 指数
231
i10 指数

被引用数

Sean Ekins の年別被引用数1911 年: 被引用 1 件1985 年: 被引用 1 件1989 年: 被引用 1 件1995 年: 被引用 6 件1997 年: 被引用 1 件1998 年: 被引用 14 件1999 年: 被引用 16 件2000 年: 被引用 51 件2001 年: 被引用 60 件2002 年: 被引用 107 件2003 年: 被引用 129 件2004 年: 被引用 164 件2005 年: 被引用 198 件2006 年: 被引用 230 件2007 年: 被引用 173 件2008 年: 被引用 234 件2009 年: 被引用 247 件2010 年: 被引用 294 件2011 年: 被引用 219 件2012 年: 被引用 304 件2013 年: 被引用 333 件2014 年: 被引用 286 件2015 年: 被引用 384 件2016 年: 被引用 226 件2017 年: 被引用 198 件2018 年: 被引用 227 件2019 年: 被引用 494 件2020 年: 被引用 719 件2021 年: 被引用 788 件2022 年: 被引用 601 件2023 年: 被引用 502 件2024 年: 被引用 697 件2025 年: 被引用 350 件2026 年: 被引用 49 件1912〜1984 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1990〜1994 年は被引用が無いため表示していません1996 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 1,972 件、この内訳の 25.2%中国: 引用元論文 693 件、この内訳の 8.9%イギリス: 引用元論文 512 件、この内訳の 6.5%インド: 引用元論文 431 件、この内訳の 5.5%ドイツ: 引用元論文 338 件、この内訳の 4.3%イタリア: 引用元論文 237 件、この内訳の 3%スイス: 引用元論文 221 件、この内訳の 2.8%フランス: 引用元論文 203 件、この内訳の 2.6%カナダ: 引用元論文 185 件、この内訳の 2.4%ブラジル: 引用元論文 168 件、この内訳の 2.2%日本: 引用元論文 163 件、この内訳の 2.1%スウェーデン: 引用元論文 150 件、この内訳の 1.9%
0%25.2%その他 32.6%

機関

分野

  • Computer Science38.7%
  • Medicine25%
  • Biochemistry, Genetics and Molecular Biology13.1%
  • Pharmacology, Toxicology and Pharmaceutics8.9%
  • Chemistry2.3%
  • Neuroscience2.2%
  • その他9.8%

トピック

  • Computational Drug Discovery Methods16.8%
  • Pharmacogenetics and Drug Metabolism5.4%
  • Drug Transport and Resistance Mechanisms3.1%
  • Machine Learning in Materials Science2.8%
  • Analytical Chemistry and Chromatography2.3%
  • Bioinformatics and Genomic Networks2%
  • その他67.6%

共著者

全論文

検索で開く
  1. Dual use of artificial-intelligence-powered drug discovery

    著者: Fabio Urbina, Filippa Lentzos, Cédric Invernizzi, Sean Ekins - Nature Machine Intelligence, Nat. Mach. Intell. 2022 被引用: 310

  2. Exploiting machine learning for end-to-end drug discovery and development

    著者: Sean Ekins, Ana C. Puhl, Kimberley M. Zorn, Thomas R. Lane, Daniel P. Russo, Jennifer J. Klein, Anthony J. Hickey, Alex M. Clark - Nature Materials 2019 被引用: 566

  3. Quantum Machine Learning Algorithms for Drug Discovery Applications

    著者: Kushal Batra, Kimberley M. Zorn, Daniel H. Foil, Eni Minerali, Victor O. Gawriljuk, Thomas R. Lane, Sean Ekins - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2021 被引用: 162

  4. In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling

    著者: Sean Ekins, Jordi Mestres, Bernard Testa - British Journal of Pharmacology 2007 被引用: 698

  5. Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets

    著者: Alexandru Korotcov, Valery Tkachenko, Daniel P. Russo, Sean Ekins - Molecular Pharmaceutics 2017 被引用: 360

  6. CATMoS: Collaborative Acute Toxicity Modeling Suite

    著者: Kamel Mansouri, Agnes L. Karmaus, Jeremy Fitzpatrick, Grace Patlewicz, Prachi Pradeep, Domenico Alberga, Nathalie Alépée, Timothy E. H. Allen, Dave Allen, Vinícius M. Alves, Carolina Horta Andrade, Tyler R. Auernhammer, Davide Ballabio, Shannon Bell, Emilio Benfenati, Sudin Bhattacharya, Joyce V. Bastos, Stephen A. Boyd, J.B. Brown, Stephen J. Capuzzi, Yaroslav Chushak, Heather L. Ciallella, Alex M. Clark, Viviana Consonni, Pankaj Daga, Sean Ekins, Sherif S. Farag, Maxim V. Fedorov, Denis Fourches, Domenico Gadaleta, Feng Gao, Jeffery M. Gearhart, Garett Goh, Jonathan M. Goodman, Francesca Grisoni, Chris Grulke, Thomas Härtung, Matthew Hirn, Pavel Karpov, Alexandru Korotcov, Giovanna J. Lavado, Michael S. Lawless, Xinhao Li, Thomas Luechtefeld, Filippo Lunghini, Giuseppe Felice Mangiatordi, Gilles Marcou, Dan H. Marsh, Todd M. Martin, Andrea Mauri, Eugene Muratov, Glenn J. Myatt, Ðắc-Trung Nguyễn, Orazio Nicolotti, Reine Note, Paritosh Pande, Amanda K. Parks, Tyler Peryea, Ahsan Habib Polash, Robert Ralló, Alessandra Roncaglioni, Craig Rowlands, Patricia Ruiz, Daniel P. Russo, Ahmed E Sayed, Risa Sayre, Timothy Sheils, Charles Siegel, Arthur C. Silva, Anton Simeonov, Sergey Sosnin, Noel Southall, Judy Strickland, Yun Tang, Brian J. Teppen, Igor V. Tetko, Dennis Thomas, Valery Tkachenko, Roberto Todeschini, Cosimo Toma, Ignacio J. Tripodi, Daniela Trisciuzzi, Alexander Tropsha, Alexandre Varnek, Kristijan Vuković, Zhongyu Wang, Liguo Wang, Katrina M. Waters, Andrew J. Wedlake, Sanjeeva J. Wijeyesakere, Dan Wilson, Zijun Xiao, Hongbin Yang, Gergely Zahoránszky-Köhalmi, Alexey Zakharov, Fagen F. Zhang, Zhen Zhang, Tongan Zhao, Hao Zhu, Kimberley M. Zorn ほか 2 名 - Environmental Health Perspectives 2021 被引用: 141

  7. Opportunities and challenges using artificial intelligence in ADME/Tox

    著者: Barun Bhhatarai, W. Patrick Walters, Cornelis E. C. A. Hop, Guido Lanza, Sean Ekins - Nature Materials 2019 被引用: 122

  8. A critical overview of computational approaches employed for COVID-19 drug discovery

    著者: Nathan Brown, Kenneth M. Merz, Matthew H. Todd, José L. Medina‐Franco, Sean Ekins, Alexey Zakharov, Artem Cherkasov, Eugene Muratov, Dima Kozakov, Carolina Horta Andrade, Alexandre Varnek, Denis Fourches, Vladimir Poroikov, Rommie E. Amaro, David A. Winkler, Olexandr Isayev, Tudor I. Oprea, Alexander Tropsha, Gisbert Schneider - Chemical Society Reviews 2021 被引用: 212

  9. In silicopharmacology for drug discovery: applications to targets and beyond

    著者: Sean Ekins, Jordi Mestres, Bernard Testa - British Journal of Pharmacology 2007 被引用: 355

  10. Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI)

    著者: Eni Minerali, Daniel H. Foil, Kimberley M. Zorn, Thomas R. Lane, Sean Ekins - Molecular Pharmaceutics 2020 被引用: 106

  11. Recent advances in drug repurposing using machine learning

    著者: Fabio Urbina, Ana C. Puhl, Sean Ekins - Current Opinion in Chemical Biology 2021 被引用: 69

  12. MegaSyn: Integrating Generative Molecular Design, Automated Analog Designer, and Synthetic Viability Prediction

    著者: Fabio Urbina, Christopher T. Lowden, Joseph Culberson, Sean Ekins - ACS Omega 2022 被引用: 43

  13. Knowledge-based approaches to drug discovery for rare diseases

    著者: Vinícius M. Alves, Daniel Korn, Vera Pervitsky, Andrew Thieme, Stephen J. Capuzzi, Nancy Baker, Rada Chirkova, Sean Ekins, Eugene Muratov, Anthony J. Hickey, Alexander Tropsha - Drug Discovery Today 2021 被引用: 42

  14. The Next Era: Deep Learning in Pharmaceutical Research

    著者: Sean Ekins - Pharmaceutical Research 2016 被引用: 236

  15. Non-classical transpeptidases yield insight into new antibacterials

    著者: Pankaj Kumar, Amit Kaushik, Evan P. Lloyd, Shao-Gang Li, Rohini Mattoo, Nicole C. Ammerman, Drew T. Bell, Alexander L. Perryman, Trevor A. Zandi, Sean Ekins, Stephan L. Ginell, Craig A. Townsend, Joel S. Freundlich, Gyanu Lamichhane - Nature Chemical Biology 2016 被引用: 141

  16. Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding Prediction

    著者: Daniel P. Russo, Kimberley M. Zorn, Alex M. Clark, Hao Zhu, Sean Ekins - Molecular Pharmaceutics 2018 被引用: 155

  17. Bioactivity Comparison across Multiple Machine Learning Algorithms Using over 5000 Datasets for Drug Discovery

    著者: Thomas R. Lane, Daniel H. Foil, Eni Minerali, Fabio Urbina, Kimberley M. Zorn, Sean Ekins - Molecular Pharmaceutics 2020 被引用: 54

  18. A bibliometric review of drug repurposing

    著者: Nancy Baker, Sean Ekins, Antony Williams, Alexander Tropsha - Drug Discovery Today 2018 被引用: 211

  19. Drug Transporters on Arachnoid Barrier Cells Contribute to the Blood–Cerebrospinal Fluid Barrier

    著者: Kazuto Yasuda, Cynthia Cline, Peter Vogel, Mihaela Onciu, Soghra Fatima, Brian P. Sorrentino, Ranjit K. Thirumaran, Sean Ekins, Yoshihiro Urade, Ko Fujimori, Erin G. Schuetz - Drug Metabolism and Disposition 2013 被引用: 129

  20. Comparing LD50/LC50 Machine Learning Models for Multiple Species

    著者: Thomas R. Lane, Joshua D. Harris, Fabio Urbina, Sean Ekins - ACS Chemical Health & Safety 2023 被引用: 38

  21. A Predictive Ligand-Based Bayesian Model for Human Drug-Induced Liver Injury

    著者: Sean Ekins, Antony Williams, Jinghai J. Xu - Drug Metabolism and Disposition 2010 被引用: 125

  22. Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug Discovery

    著者: Thomas R. Lane, Daniel P. Russo, Kimberley M. Zorn, Alex M. Clark, Alexandru Korotcov, Valery Tkachenko, Robert C. Reynolds, Alexander L. Perryman, Joel S. Freundlich, Sean Ekins - Molecular Pharmaceutics 2018 被引用: 116

  23. Validation of Acetylcholinesterase Inhibition Machine Learning Models for Multiple Species

    著者: Patricia A. Vignaux, Thomas R. Lane, Fabio Urbina, Jacob Gerlach, Ana C. Puhl, Scott H. Snyder, Sean Ekins - Chemical Research in Toxicology 2023 被引用: 30

  24. Cross-reactivity of steroid hormone immunoassays: clinical significance and two-dimensional molecular similarity prediction

    著者: Matthew D. Krasowski, Denny Drees, Cory Morris, Jon Maakestad, John Blau, Sean Ekins - BMC Clinical Pathology 2014 被引用: 205