Christopher S. Konkoy
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Organic Chemistry top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Thomas P. DavisSteven R. ChildersRichard M. WoodwardEdward R. WhittemoreMeng H. TanDon JohnsMatthias HerzLawrence D. Wise
- Topics
- Neuroscience and Neuropharmacology Research (9 papers)Neuropeptides and Animal Physiology (9 papers)Receptor Mechanisms and Signaling (7 papers)
- Journals
- Journal of Medicinal ChemistryJournal of NeurochemistryJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesSwedenMexico
In The Last Decade
Christopher S. Konkoy
23 papers receiving 841 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 386
- Cellular and Molecular Neuroscience 260
- Endocrinology, Diabetes and Metabolism 246
- Organic Chemistry 170
- Cardiology and Cardiovascular Medicine 133
Countries citing papers authored by Christopher S. Konkoy
This map shows the geographic impact of Christopher S. Konkoy'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 Christopher S. Konkoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher S. Konkoy more than expected).
Fields of papers citing papers by Christopher S. Konkoy
This network shows the impact of papers produced by Christopher S. Konkoy. 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 Christopher S. Konkoy. The network helps show where Christopher S. Konkoy may publish in the future.
Co-authorship network of co-authors of Christopher S. Konkoy
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher S. Konkoy. A scholar is included among the top collaborators of Christopher S. Konkoy 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 Christopher S. Konkoy. Christopher S. Konkoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 46 | |
| 3 | 73 | |
| 4 | 55 | |
| 5 | 51 | |
| 6 | 58 | |
| 7 | 114 | |
| 8 | 95 | |
| 9 | 8 | |
| 10 | 85 | |
| 11 | 15 | |
| 12 | 20 | |
| 13 | 24 | |
| 14 | 49 | |
| 15 | 10 | |
| 16 | 12 | |
| 17 | 14 | |
| 18 | 13 | |
| 19 | 25 | |
| 20 | 11 |
About Christopher S. Konkoy
Christopher S. Konkoy is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Toxicology, having authored 23 papers that have together received 888 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Neuropeptides and Animal Physiology (9 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (246 citations), Cellular and Molecular Neuroscience (260 citations) and Internal Medicine (23 citations). Christopher S. Konkoy has collaborated with scholars based in United States, Sweden and Mexico. Frequent co-authors include Thomas P. Davis, Steven R. Childers, Richard M. Woodward, Edward R. Whittemore, Meng H. Tan, Don Johns, Matthias Herz, Lawrence D. Wise, Peter A. Boxer and Kevin A. Serpa. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Neurochemistry and Journal of Pharmacology and Experimental Therapeutics.
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.