Jeffrey D. Schmitt
- Molecular Biology top 10%
- Organic Chemistry top 10%
- Immunology
- Physiology
- Biochemistry top 5%
- Co-authors
- Robert L. WykleClaude A. PiantadosiLarry W. DanielJoseph T. O’FlahertyCharles E. McCallWilliam S. CaldwellLinda C. McPhailChristopher G. V. Sharples
- Topics
- Nicotinic Acetylcholine Receptors Study (8 papers)Computational Drug Discovery Methods (6 papers)Receptor Mechanisms and Signaling (6 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryThe Journal of Chemical Physics
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jeffrey D. Schmitt
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 708
- Organic Chemistry 153
- Immunology 132
- Physiology 129
- Biochemistry 114
Countries citing papers authored by Jeffrey D. Schmitt
This map shows the geographic impact of Jeffrey D. Schmitt'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 Jeffrey D. Schmitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey D. Schmitt more than expected).
Fields of papers citing papers by Jeffrey D. Schmitt
This network shows the impact of papers produced by Jeffrey D. Schmitt. 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 Jeffrey D. Schmitt. The network helps show where Jeffrey D. Schmitt may publish in the future.
Co-authorship network of co-authors of Jeffrey D. Schmitt
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey D. Schmitt. A scholar is included among the top collaborators of Jeffrey D. Schmitt 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 Jeffrey D. Schmitt. Jeffrey D. Schmitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 39 | |
| 4 | 48 | |
| 5 | 9 | |
| 6 | 12 | |
| 7 | 21 | |
| 8 | 29 | |
| 9 | 14 | |
| 10 | 17 | |
| 11 | 23 | |
| 12 | 72 | |
| 13 | 19 | |
| 14 | 33 | |
| 15 | 9 | |
| 16 | 6 | |
| 17 | 89 | |
| 18 | 119 | |
| 19 | 20 | |
| 20 | 80 |
About Jeffrey D. Schmitt
Jeffrey D. Schmitt is a scholar working on Biochemistry, Spectroscopy and Computational Theory and Mathematics, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (8 papers), Computational Drug Discovery Methods (6 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Biochemistry (114 citations), Molecular Biology (708 citations) and Clinical Biochemistry (49 citations). Jeffrey D. Schmitt has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Robert L. Wykle, Claude A. Piantadosi, Larry W. Daniel, Joseph T. O’Flaherty, Charles E. McCall, William S. Caldwell, Linda C. McPhail, Christopher G. V. Sharples, Canio J. Marasco and George W. Small. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry 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.