Steven V. Jerome
- Molecular Biology
- Materials Chemistry top 10%
- Organic Chemistry top 5%
- Computational Theory and Mathematics top 1%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- Christopher J. CramerDonald G. TruhlarAleksandr V. MarenichRichard A. FriesnerMatthew P. RepaskyRobert AbelKarl LeswingKun Yao
- Topics
- Computational Drug Discovery Methods (8 papers)Protein Structure and Dynamics (4 papers)Machine Learning in Materials Science (4 papers)
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaThe Journal of Physical Chemistry B
- Partner nations
- United StatesBelgiumAustralia
In The Last Decade
Steven V. Jerome
17 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 625
- Materials Chemistry 450
- Organic Chemistry 444
- Computational Theory and Mathematics 430
- Atomic and Molecular Physics, and Optics 280
Countries citing papers authored by Steven V. Jerome
This map shows the geographic impact of Steven V. Jerome'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 Steven V. Jerome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven V. Jerome more than expected).
Fields of papers citing papers by Steven V. Jerome
This network shows the impact of papers produced by Steven V. Jerome. 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 Steven V. Jerome. The network helps show where Steven V. Jerome may publish in the future.
Co-authorship network of co-authors of Steven V. Jerome
This figure shows the co-authorship network connecting the top 25 collaborators of Steven V. Jerome. A scholar is included among the top collaborators of Steven V. Jerome based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven V. Jerome. Steven V. Jerome is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | Epik: p K a and Protonation State Prediction through Machine Learningbreakdown → | 130 |
| 5 | 69 | |
| 6 | 7 | |
| 7 | 64 | |
| 8 | Efficient Exploration of Chemical Space with Docking and Deep Learningbreakdown → | 228 |
| 9 | 104 | |
| 10 | 24 | |
| 11 | 9 | |
| 12 | 68 | |
| 13 | 64 | |
| 14 | 7 | |
| 15 | 21 | |
| 16 | Charge Model 5: An Extension of Hirshfeld Population Analysis for the Accurate Description of Molecular Interactions in Gaseous and Condensed Phasesbreakdown → | 767 |
| 17 | 26 | |
| 18 | 74 |
About Steven V. Jerome
Steven V. Jerome is a scholar working on Computational Theory and Mathematics, Pharmacology and Organic Chemistry, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Materials Science (4 papers). The work is most often cited by research in Computational Theory and Mathematics (430 citations), Physical and Theoretical Chemistry (153 citations) and Organic Chemistry (444 citations). Steven V. Jerome has collaborated with scholars based in United States, Belgium and Australia. Frequent co-authors include Christopher J. Cramer, Donald G. Truhlar, Aleksandr V. Marenich, Richard A. Friesner, Matthew P. Repasky, Robert Abel, Karl Leswing, Kun Yao, Brian K. Shoichet and Yang Ying. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.
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.