Jeff Blaney
Impact in
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- Computational Drug Discovery Methods
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Computational Drug Discovery Methods 7
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- Cancer Mechanisms and Therapy 2
- Co-authors
- Alleyn T. Plowright (1 shared paper)Johanna M. Jansen (1 shared paper)John E. Hill (1 shared paper)Kimito Funatsu (1 shared paper)Gisbert Schneider (1 shared paper)Jennifer Listgarten (1 shared paper)Jasmin Fisher (1 shared paper)José S. Duca (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (2 papers)Journal of Medicinal Chemistry (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Computer-Aided Molecular Design (2 papers)Nature Reviews Drug Discovery (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jeff Blaney
12 papers receiving 1k citations
Jeff Blaney's Hit Papers
Peers
Comparison fields: 5 of 106
- Computational Theory and Mathematics 575
- Health Informatics 32
- Organic Chemistry 128
- Pathology and Forensic Medicine 41
- Hepatology 21
Countries citing papers authored by Jeff Blaney
This map shows the geographic impact of Jeff Blaney's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jeff Blaney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Blaney more than expected).
Fields of papers citing papers by Jeff Blaney
This network shows the impact of papers produced by Jeff Blaney. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jeff Blaney. The network helps show where Jeff Blaney may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Blaney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Rethinking drug design in the artificial intelligence era Hit paper breakdown → | 2019 | 624 |
| 2 | 2009 | 121 | |
| 3 | 2012 | 86 | |
| 4 | 2017 | 71 | |
| 5 | 2008 | 56 | |
| 6 | 2016 | 56 | |
| 7 | 2011 | 36 | |
| 8 | 2015 | 18 | |
| 9 | 2015 | 17 | |
| 10 | Selective inhibition of MET protein receptor tyrosine kinase by SGX523 | 2007 | 6 |
| 11 | 2025 | 5 | |
| 12 | 2012 | 3 | |
| 13 | New problems that should be addressed in the next ten years 7 | 1999 | 0 |
About Jeff Blaney
Jeff Blaney is a scholar working on Computational Theory and Mathematics, Pathology and Forensic Medicine, Genetics, Hepatology and Organic Chemistry, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Synthesis and biological activity (2 papers), Cancer Mechanisms and Therapy (2 papers), Lung Cancer Treatments and Mutations (1 paper), Hepatitis C virus research (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Enzyme Structure and Function (1 paper) and Crystal structures of chemical compounds (1 paper). The work is most often cited by research in Computational Theory and Mathematics (575 citations), Health Informatics (32 citations), Organic Chemistry (128 citations), Pathology and Forensic Medicine (41 citations) and Hepatology (21 citations). Jeff Blaney has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Alleyn T. Plowright, Johanna M. Jansen, John E. Hill, Kimito Funatsu, Gisbert Schneider, Jennifer Listgarten, Jasmin Fisher, José S. Duca, Matthias Köhler and Chris Luebkeman. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Computer-Aided Molecular Design and Nature Reviews Drug Discovery.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.