James H. Wikel
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.5%
- Pharmacology top 0.5%
- Oncology top 5%
- Spectroscopy top 5%
- Co-authors
- Sean EkinsSteven WrightonGianpaolo BraviR. Dustan SarazanWilliam CrumbJennifer S. GillespieBarbara J. RingPeter W. Swaan
- Topics
- Computational Drug Discovery Methods (13 papers)Drug Transport and Resistance Mechanisms (7 papers)Analytical Chemistry and Chromatography (6 papers)
- Journals
- Journal of Medicinal ChemistryJournal of Pharmacology and Experimental TherapeuticsThe Journal of Organic Chemistry
- Partner nations
- United StatesDenmark
In The Last Decade
James H. Wikel
38 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 734
- Computational Theory and Mathematics 730
- Pharmacology 532
- Oncology 518
- Spectroscopy 317
Countries citing papers authored by James H. Wikel
This map shows the geographic impact of James H. Wikel'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 James H. Wikel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James H. Wikel more than expected).
Fields of papers citing papers by James H. Wikel
This network shows the impact of papers produced by James H. Wikel. 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 James H. Wikel. The network helps show where James H. Wikel may publish in the future.
Co-authorship network of co-authors of James H. Wikel
This figure shows the co-authorship network connecting the top 25 collaborators of James H. Wikel. A scholar is included among the top collaborators of James H. Wikel 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 James H. Wikel. James H. Wikel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 51 | |
| 3 | 70 | |
| 4 | 86 | |
| 5 | 211 | |
| 6 | 138 | |
| 7 | 30 | |
| 8 | 155 | |
| 9 | 31 | |
| 10 | 207 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 104 | |
| 14 | 111 | |
| 15 | 8 | |
| 16 | 15 | |
| 17 | 59 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | 9 |
About James H. Wikel
James H. Wikel is a scholar working on Computational Theory and Mathematics, Pharmacology and Organic Chemistry, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Drug Transport and Resistance Mechanisms (7 papers) and Analytical Chemistry and Chromatography (6 papers). The work is most often cited by research in Pharmacology (532 citations), Computational Theory and Mathematics (730 citations) and Spectroscopy (317 citations). James H. Wikel has collaborated with scholars based in United States and Denmark. Frequent co-authors include Sean Ekins, Steven Wrighton, Gianpaolo Bravi, R. Dustan Sarazan, William Crumb, Jennifer S. Gillespie, Barbara J. Ring, Peter W. Swaan, Gabriele Cruciani and Chris L. Waller. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and The Journal of Organic Chemistry.
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.