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Russell Greiner

Active 1980–2026

283
Papers
27,491
Citations
64
h-index
175
i10-index

Citations

Citations per year for Russell Greiner1979: 1 citations1980: 2 citations1981: 3 citations1982: 1 citations1983: 12 citations1984: 8 citations1985: 10 citations1986: 8 citations1987: 4 citations1988: 4 citations1989: 12 citations1990: 24 citations1991: 15 citations1992: 34 citations1993: 24 citations1994: 16 citations1995: 22 citations1996: 35 citations1997: 33 citations1998: 17 citations1999: 25 citations2000: 23 citations2001: 35 citations2002: 54 citations2003: 75 citations2004: 83 citations2005: 142 citations2006: 152 citations2007: 216 citations2008: 238 citations2009: 266 citations2010: 341 citations2011: 308 citations2012: 363 citations2013: 369 citations2014: 439 citations2015: 394 citations2016: 475 citations2017: 404 citations2018: 437 citations2019: 860 citations2020: 885 citations2021: 887 citations2022: 788 citations2023: 763 citations2024: 1,189 citations2025: 680 citations2026: 85 citations

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,109 citing papers, 21.8% of this breakdownChina: 1,634 citing papers, 11.5% of this breakdownCanada: 894 citing papers, 6.3% of this breakdownUnited Kingdom: 888 citing papers, 6.2% of this breakdownGermany: 754 citing papers, 5.3% of this breakdownFrance: 480 citing papers, 3.4% of this breakdownItaly: 432 citing papers, 3% of this breakdownSpain: 424 citing papers, 3% of this breakdownIndia: 411 citing papers, 2.9% of this breakdownNetherlands: 376 citing papers, 2.6% of this breakdownAustralia: 335 citing papers, 2.4% of this breakdownSwitzerland: 311 citing papers, 2.2% of this breakdown
0%21.8%Other 29.4%

Institutions

Fields

  • Biochemistry, Genetics and Molecular Biology33.8%
  • Computer Science31.3%
  • Medicine13.2%
  • Neuroscience4.9%
  • Engineering2.6%
  • Agricultural and Biological Sciences2.5%
  • Other11.7%

Topics

  • Metabolomics and Mass Spectrometry Studies9.5%
  • Computational Drug Discovery Methods2.5%
  • Bayesian Modeling and Causal Inference2.3%
  • Bioinformatics and Genomic Networks1.8%
  • Gut microbiota and health1.6%
  • Analytical Chemistry and Chromatography1.6%
  • Other80.7%

Coauthors

All papers

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  1. HMDB 5.0: the Human Metabolome Database for 2022

    Authors: David S. Wishart, Anchi Guo, Eponine Oler, Fei Wang, Afia Anjum, Harrison Peters, Raynard Dizon, Zinat Sayeeda, Siyang Tian, Brian L. Lee, Mark V. Berjanskii, Robert Mah, Mai Yamamoto, Juan Jovel, Claudia Torres-Calzada, Mickel Hiebert-Giesbrecht, Vicki W. Lui, Dorna Varshavi, Dorsa Varshavi, Dana Allen, David Arndt, Nitya Khetarpal, Aadhavya Sivakumaran, Karxena Harford, Selena Sanford, Kristen Yee, Xuan Cao, Zachary Budinski, Jaanus Liigand, Lun Zhang, Jiamin Zheng, Rupasri Mandal, Naama Karu, Maija Dambrova, Helgi B. Schiöth, Russell Greiner, Vasuk Gautam - Nucleic Acids Research, Nucleic Acids Res. 2021 cited by 2,449

  2. ClassyFire: automated chemical classification with a comprehensive, computable taxonomy

    Authors: Yannick Djoumbou, Roman Eisner, Craig Knox, Leonid L. Chepelev, Janna Hastings, Gareth I. Owen, Eoin Fahy, Christoph Steinbeck, Shankar Subramanian, Evan Bolton, Russell Greiner, David S. Wishart - Journal of Cheminformatics, J. Cheminformatics 2016 cited by 1,587

  3. HMDB: the Human Metabolome Database

    Authors: David S. Wishart, Dan Tzur, Craig Knox, Roman Eisner, Anchi Guo, Nelson Young, Dean Cheng, Kevin Jewell, David Arndt, Summit Sawhney, Chris Fung, Lisa Nikolai, Mike Lewis, Marie-Aude Coutouly, Ian J. Forsythe, Peter Tang, Savita Shrivastava, Kevin Jeroncic, Paul Stothard, Godwin Amegbey, David Block, David D. Hau, James Wagner, Jessica Miniaci, Melisa Clements, Mulu Gebremedhin, Natalie Guo, Ying Zhang, Gavin E. Duggan, Glen D. MacInnis, Alim M. Weljie, Reza Dowlatabadi, Fiona Bamforth, Derrick Clive, Russell Greiner, Liang Li, Tom Marrie, Brian D. Sykes, Hans J. Vogel, Lori Querengesser - Nucleic Acids Research, Nucleic Acids Res. 2007 cited by 3,265

  4. The Human Serum Metabolome

    Authors: Nikolaos Psychogios, David Hau, Jun Peng, An Chi Guo, Rupasri Mandal, Souhaila Bouatra, Igor Sinelnikov, Ramanarayan Krishnamurthy, Roman Eisner, Bijaya Gautam, Nelson D. Young, Jianguo Xia, Craig Knox, Edison Dong, Paul H. Huang, Zsuzsanna Hollander, Theresa L. Pedersen, Steven R. Smith, Fiona Bamforth, Russell Greiner, Bruce M. McManus, John W. Newman, Theodore L. Goodfriend, David S. Wishart - PLoS ONE 2011 cited by 1,720

  5. CFM-ID 4.0: More Accurate ESI-MS/MS Spectral Prediction and Compound Identification

    Authors: Fei Wang, Jaanus Liigand, Siyang Tian, David Arndt, Russell Greiner, David S. Wishart - Analytical Chemistry 2021 cited by 396

  6. BioTransformer: a comprehensive computational tool for small molecule metabolism prediction and metabolite identification

    Authors: Yannick Djoumbou Feunang, Jarlei Fiamoncini, Alberto Gil-de-la-Fuente, Russell Greiner, Claudine Manach, David S. Wishart - Journal of Cheminformatics, J. Cheminformatics 2019 cited by 513

  7. HMDB 3.0 - The Human Metabolome Database in 2013

    Authors: David S. Wishart, Timothy Jewison, An Chi Guo, Michael Wilson, Craig Knox, Yifeng Liu, Yannick Djoumbou-Feunang, Rupasri Mandal, Farid Aziat, Edison Dong, Souhaila Bouatra, Igor Sinelnikov, David Arndt, Jianguo Xia, Philip L.‐F. Liu, Faizath S. Yallou, Trent C. Bjorndahl, Rolando Pérez, Roman Eisner, Felicity Allen, Vanessa Neveu, Russell Greiner, Augustin Scalbert - Nucleic Acids Research, Nucleic Acids Res. 2012 cited by 2,904

  8. BioTransformer 3.0 - a web server for accurately predicting metabolic transformation products

    Authors: David S. Wishart, Siyang Tian, Dana Allen, Eponine Oler, Harrison Peters, Vicki W. Lui, Vasuk Gautam, Yannick Djoumbou Feunang, Russell Greiner, Thomas O. Metz - Nucleic Acids Research, Nucleic Acids Res. 2022 cited by 196

  9. HMDB: a knowledgebase for the human metabolome

    Authors: David S. Wishart, Craig Knox, Anchi Guo, Roman Eisner, Nelson Young, Bijaya Gautam, David D. Hau, Nick Psychogios, Edison Dong, Souhaila Bouatra, Rupasri Mandal, Igor Sinelnikov, Jianguo Xia, Leslie Jia, Joseph A. Cruz, Emilia Lim, Constance A. Sobsey, Savita Shrivastava, Paul Huang, Philip Liu, Lydia Fang, Jun Peng, Ryan Fradette, Dean Cheng, Dan Tzur, Melisa Clements, Avalyn Lewis, Andrea De Souza, Azaret Zuniga, Margot Dawe, Yeping Xiong, Derrick Clive, Russell Greiner, Alsu Nazyrova, Rustem Shaykhutdinov, Liang Li, Hans J. Vogel, Ian J. Forsythe - Nucleic Acids Research, Nucleic Acids Res. 2008 cited by 1,894

  10. CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra

    Authors: Felicity Allen, Allison Pon, Michael Wilson, Russell Greiner, David S. Wishart - Nucleic Acids Research, Nucleic Acids Res. 2014 cited by 479

  11. An Introduction to Machine Learning Approaches for Biomedical Research

    Authors: Juan Jovel, Russell Greiner - Frontiers in Medicine 2021 cited by 119

  12. A deep generative model enables automated structure elucidation of novel psychoactive substances

    Authors: Michael A. Skinnider, Fei Wang, Daniel Pasin, Russell Greiner, Leonard J. Foster, Petur W. Dalsgaard, David S. Wishart - Nature Machine Intelligence, Nat. Mach. Intell. 2021 cited by 87

  13. A general prediction model for the detection of ADHD and Autism using structural and functional MRI

    Authors: Bhaskar Sen, Neil C. Borle, Russell Greiner, Matthew Brown - PLoS ONE 2018 cited by 207

  14. Implementing machine learning in medicine

    Authors: Amol A. Verma, Joshua Murray, Russell Greiner, Joseph Cohen, Kaveh G Shojania, Marzyeh Ghassemi, Sharon E. Straus, Chloé Pou-Prom, Muhammad Mamdani - Canadian Medical Association Journal 2021 cited by 136

  15. CFM-ID 4.0 - a web server for accurate MS-based metabolite identification

    Authors: Fei Wang, Dana Allen, Siyang Tian, Eponine Oler, Vasuk Gautam, Russell Greiner, Thomas O. Metz, David S. Wishart - Nucleic Acids Research, Nucleic Acids Res. 2022 cited by 123

  16. Problems in the deployment of machine-learned models in health care

    Authors: Joseph Cohen, Tianshi Cao, Joseph D. Viviano, Chin‐Wei Huang, Michael Fralick, Marzyeh Ghassemi, Muhammad Mamdani, Russell Greiner, Yoshua Bengio - Canadian Medical Association Journal 2021 cited by 64

  17. CounterFactual Regression with Importance Sampling Weights

    Authors: Negar Hassanpour, Russell Greiner - Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019 cited by 75

  18. ADHD-200 Global Competition: diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements

    Authors: Matthew Brown, Gagan Sidhu, Russell Greiner, Nasimeh Asgarian, Meysam Bastani, Peter H. Silverstone, Andrew J. Greenshaw, Serdar Dursun - Frontiers in Systems Neuroscience 2012 cited by 194

  19. CypReact: A Software Tool for in Silico Reactant Prediction for Human Cytochrome P450 Enzymes

    Authors: Siyang Tian, Yannick Djoumbou Feunang, Russell Greiner, David S. Wishart - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2018 cited by 80

  20. Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms

    Authors: Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Amir Salimi, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Russell Greiner, Abram Hindle, Finlay A. McAlister, Roopinder K. Sandhu, Padma Kaul - npj Digital Medicine, npj Digit. Medicine 2023 cited by 34

  21. Deep Learning-Enabled MS/MS Spectrum Prediction Facilitates Automated Identification Of Novel Psychoactive Substances

    Authors: Fei Wang, Daniel Pasin, Michael A. Skinnider, Jaanus Liigand, Jan‐Niklas Kleis, David Brown, Eponine Oler, Tanvir Sajed, Vasuk Gautam, Stephen Harrison, Russell Greiner, Leonard J. Foster, Petur Weihe Dalsgaard, David S. Wishart - Analytical Chemistry 2023 cited by 35

  22. Learning Bayesian networks from data: An information-theory based approach

    Authors: Jie Cheng, Russell Greiner, Jonathan Kelly, David A. Bell, Weiru Liu - Artificial Intelligence, Artif. Intell. 2002 cited by 803

  23. Learning Language and Acoustic Models for Identifying Alzheimer's Dementia From Speech

    Authors: Zehra Shah, Jeffrey Sawalha, Mashrura Tasnim, Shi-ang Qi, Eleni Stroulia, Russell Greiner - Frontiers in Computer Science, Frontiers Comput. Sci. 2021 cited by 53

  24. The human cerebrospinal fluid metabolome

    Authors: David S. Wishart, Michael Lewis, Joshua A. Morrissey, M.D. Flegel, Kevin Jeroncic, Yeping Xiong, Dean Cheng, Roman Eisner, Bijaya Gautam, Dan Tzur, Summit Sawhney, Fiona Bamforth, Russell Greiner, Liang Li - Journal of Chromatography B 2008 cited by 348