Scott Oloff
Impact in
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- Computational Drug Discovery Methods
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Computational Drug Discovery Methods 11
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- Analytical Chemistry and Chromatography 3
- Molecular spectroscopy and chirality 1
- Co-authors
- Alexander Tropsha (9 shared papers)Ken D. McCarthy (1 shared paper)Wolfgang Nett (1 shared paper)Alexander Golbraikh (6 shared papers)Ingo Muegge (2 shared papers)Shuxing Zhang (3 shared papers)Harold Kohn (2 shared papers)Richard B. Mailman (2 shared papers)
- Journals
- Journal of Chemical Information and Modeling (3 papers)Journal of Computer-Aided Molecular Design (2 papers)Journal of Medicinal Chemistry (2 papers)Neuropharmacology (1 paper)Journal of Neurophysiology (1 paper)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Scott Oloff
12 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Computational Theory and Mathematics 618
- Neurology 136
- Cellular and Molecular Neuroscience 279
- Developmental Neuroscience 50
- Pharmacology 86
Countries citing papers authored by Scott Oloff
This map shows the geographic impact of Scott Oloff'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 Scott Oloff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Oloff more than expected).
Fields of papers citing papers by Scott Oloff
This network shows the impact of papers produced by Scott Oloff. 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 Scott Oloff. The network helps show where Scott Oloff may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Oloff, 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 | 2002 | 282 | |
| 2 | 2006 | 212 | |
| 3 | 2006 | 133 | |
| 4 | 2006 | 118 | |
| 5 | 2006 | 113 | |
| 6 | 2005 | 81 | |
| 7 | 2004 | 80 | |
| 8 | 2006 | 43 | |
| 9 | 2005 | 36 | |
| 10 | 2006 | 36 | |
| 11 | 2005 | 31 | |
| 12 | 2007 | 3 | |
| 13 | 2020 | 0 |
About Scott Oloff
Scott Oloff is a scholar working on Computational Theory and Mathematics, Spectroscopy, Molecular Biology, Cellular and Molecular Neuroscience and Virology, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Analytical Chemistry and Chromatography (3 papers), Protein Structure and Dynamics (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Machine Learning in Materials Science (2 papers), Molecular spectroscopy and chirality (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). The work is most often cited by research in Computational Theory and Mathematics (618 citations), Neurology (136 citations), Cellular and Molecular Neuroscience (279 citations), Developmental Neuroscience (50 citations) and Pharmacology (86 citations). Scott Oloff has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Alexander Tropsha, Ken D. McCarthy, Wolfgang Nett, Alexander Golbraikh, Ingo Muegge, Shuxing Zhang, Harold Kohn, Richard B. Mailman, Yun-De Xiao and Lowell H. Hall. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Computer-Aided Molecular Design, Journal of Medicinal Chemistry, Neuropharmacology and Journal of Neurophysiology.
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.