Keith Gottesdiener
- Molecular Biology top 5%
- Epidemiology top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Pharmacology top 0.5%
- Physiology top 2%
- Co-authors
- John A. WagnerJeffrey ChodakewitzPatrick LarsonDavid LiMichael MarmorDevan V. MehrotraDaniel W. FitzgeraldM. Juliana McElrath
- Topics
- Inflammatory mediators and NSAID effects (22 papers)Trypanosoma species research and implications (20 papers)Pharmacogenetics and Drug Metabolism (12 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Keith Gottesdiener
127 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 2.1k
- Epidemiology 1.8k
- Endocrinology, Diabetes and Metabolism 1.2k
- Pharmacology 1.1k
- Physiology 1.1k
Countries citing papers authored by Keith Gottesdiener
This map shows the geographic impact of Keith Gottesdiener'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 Keith Gottesdiener with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Gottesdiener more than expected).
Fields of papers citing papers by Keith Gottesdiener
This network shows the impact of papers produced by Keith Gottesdiener. 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 Keith Gottesdiener. The network helps show where Keith Gottesdiener may publish in the future.
Co-authorship network of co-authors of Keith Gottesdiener
This figure shows the co-authorship network connecting the top 25 collaborators of Keith Gottesdiener. A scholar is included among the top collaborators of Keith Gottesdiener 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 Keith Gottesdiener. Keith Gottesdiener is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 40 | |
| 3 | 29 | |
| 4 | 42 | |
| 5 | 39 | |
| 6 | Brain CB-1 receptor occupancy of taranabant in lean subjects using CB-1R PET | 1 |
| 7 | 23 | |
| 8 | 70 | |
| 9 | 23 | |
| 10 | 56 | |
| 11 | 3 | |
| 12 | Single and Multiple Doses of MK-0767 (KRP-297) reduce Free Fatty Acids (FFA) and Lipids in Healthy Subjects. | 1 |
| 13 | 32 | |
| 14 | 19 | |
| 15 | 137 | |
| 16 | THE COX-2 INHIBITOR ETORICOXIB DID NOT ALTER THE ANTI-PLATELET EFFECTS OF LOW-DOSE ASPIRIN IN HEALTHY VOLUNTEERS. | 5 |
| 17 | 49 | |
| 18 | 52 | |
| 19 | 6 | |
| 20 | 16 |
About Keith Gottesdiener
Keith Gottesdiener is a scholar working on Pharmacology, Virology and Endocrine and Autonomic Systems, having authored 127 papers that have together received 7.6k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (22 papers), Trypanosoma species research and implications (20 papers) and Pharmacogenetics and Drug Metabolism (12 papers). The work is most often cited by research in Virology (1.0k citations), Endocrine and Autonomic Systems (624 citations) and Endocrinology, Diabetes and Metabolism (1.2k citations). Keith Gottesdiener has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include John A. Wagner, Jeffrey Chodakewitz, Patrick Larson, David Li, Michael Marmor, Devan V. Mehrotra, Daniel W. Fitzgerald, M. Juliana McElrath, Michael Robertson and Danilo R. Casimiro. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.