Scott A. Wildman
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 5%
- Materials Chemistry
- Epidemiology
- Co-authors
- Gordon M. CrippenJames W. JanetkaZhenfu HanF. Michael HoffmannP. A. ChristiansenJonathan DuckettGino A. DiLabioClaire M. Peppiatt‐Wildman
- Topics
- Computational Drug Discovery Methods (13 papers)Protein Structure and Dynamics (5 papers)Liver physiology and pathology (4 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Scott A. Wildman
39 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 1.0k
- Computational Theory and Mathematics 762
- Organic Chemistry 474
- Materials Chemistry 325
- Epidemiology 241
Countries citing papers authored by Scott A. Wildman
This map shows the geographic impact of Scott A. Wildman'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 A. Wildman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott A. Wildman more than expected).
Fields of papers citing papers by Scott A. Wildman
This network shows the impact of papers produced by Scott A. Wildman. 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 A. Wildman. The network helps show where Scott A. Wildman may publish in the future.
Co-authorship network of co-authors of Scott A. Wildman
This figure shows the co-authorship network connecting the top 25 collaborators of Scott A. Wildman. A scholar is included among the top collaborators of Scott A. Wildman 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 Scott A. Wildman. Scott A. Wildman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 22 | |
| 4 | 71 | |
| 5 | 82 | |
| 6 | 27 | |
| 7 | 47 | |
| 8 | 22 | |
| 9 | 7 | |
| 10 | 24 | |
| 11 | 9 | |
| 12 | 16 | |
| 13 | 7 | |
| 14 | 52 | |
| 15 | 10 | |
| 16 | 22 | |
| 17 | 11 | |
| 18 | 18 | |
| 19 | Prediction of Physicochemical Parameters by Atomic Contributionsbreakdown → | 1072 |
| 20 | 53 |
About Scott A. Wildman
Scott A. Wildman is a scholar working on Computational Theory and Mathematics, Parasitology and Hepatology, having authored 39 papers that have together received 2.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Protein Structure and Dynamics (5 papers) and Liver physiology and pathology (4 papers). The work is most often cited by research in Computational Theory and Mathematics (762 citations), Organic Chemistry (474 citations) and Endocrinology (79 citations). Scott A. Wildman has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Gordon M. Crippen, James W. Janetka, Zhenfu Han, F. Michael Hoffmann, P. A. Christiansen, Jonathan Duckett, Gino A. DiLabio, Claire M. Peppiatt‐Wildman, Aswini Balachandran and Corinne K. Cusumano. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Chemical Physics.
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.