James M. Luther
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Pharmacology top 5%
- Co-authors
- Nancy J. BrownKevin L. ScheyChang YuKristie L. RoseAgnes B. FogoDavid L. HacheyHui NianSalisha Hill
- Topics
- Hormonal Regulation and Hypertension (32 papers)Eicosanoids and Hypertension Pharmacology (11 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (9 papers)
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
James M. Luther
69 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Endocrinology, Diabetes and Metabolism 1.2k
- Molecular Biology 757
- Surgery 595
- Cardiology and Cardiovascular Medicine 556
- Pharmacology 259
Countries citing papers authored by James M. Luther
This map shows the geographic impact of James M. Luther'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 M. Luther with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. Luther more than expected).
Fields of papers citing papers by James M. Luther
This network shows the impact of papers produced by James M. Luther. 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 M. Luther. The network helps show where James M. Luther may publish in the future.
Co-authorship network of co-authors of James M. Luther
This figure shows the co-authorship network connecting the top 25 collaborators of James M. Luther. A scholar is included among the top collaborators of James M. Luther 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 M. Luther. James M. Luther 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 | 10 | |
| 3 | 24 | |
| 4 | 5 | |
| 5 | 57 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 18 | |
| 9 | 27 | |
| 10 | 31 | |
| 11 | 20 | |
| 12 | 48 | |
| 13 | 83 | |
| 14 | 30 | |
| 15 | 35 | |
| 16 | 118 | |
| 17 | 146 | |
| 18 | 85 | |
| 19 | 93 | |
| 20 | 125 |
About James M. Luther
James M. Luther is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 71 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (32 papers), Eicosanoids and Hypertension Pharmacology (11 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Biochemistry (218 citations) and Cardiology and Cardiovascular Medicine (556 citations). James M. Luther has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Nancy J. Brown, Kevin L. Schey, Chang Yu, Kristie L. Rose, Agnes B. Fogo, David L. Hachey, Hui Nian, Salisha Hill, Zhen Wang and Douglas E. Vaughan. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.