Gilbert M. Eisner
- Molecular Biology top 2%
- Cardiology and Cardiovascular Medicine top 1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Pedro A. JoséRobin A. FelderLaureano D. AsicoChunyu ZengLawrence M. SlotkoffUlrich HopferChristian C. FelderPeter W. Ramwell
- Topics
- Receptor Mechanisms and Signaling (34 papers)Hormonal Regulation and Hypertension (33 papers)Ion Transport and Channel Regulation (30 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Gilbert M. Eisner
111 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 132
- Molecular Biology 2.6k
- Cardiology and Cardiovascular Medicine 1.6k
- Endocrinology, Diabetes and Metabolism 1.5k
- Physiology 819
- Pulmonary and Respiratory Medicine 715
Countries citing papers authored by Gilbert M. Eisner
This map shows the geographic impact of Gilbert M. Eisner'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 Gilbert M. Eisner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilbert M. Eisner more than expected).
Fields of papers citing papers by Gilbert M. Eisner
This network shows the impact of papers produced by Gilbert M. Eisner. 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 Gilbert M. Eisner. The network helps show where Gilbert M. Eisner may publish in the future.
Co-authorship network of co-authors of Gilbert M. Eisner
This figure shows the co-authorship network connecting the top 25 collaborators of Gilbert M. Eisner. A scholar is included among the top collaborators of Gilbert M. Eisner 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 Gilbert M. Eisner. Gilbert M. Eisner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | 26 | |
| 4 | 91 | |
| 5 | 2 | |
| 6 | 34 | |
| 7 | 64 | |
| 8 | 47 | |
| 9 | 23 | |
| 10 | 68 | |
| 11 | 2 | |
| 12 | 144 | |
| 13 | 3 | |
| 14 | 154 | |
| 15 | Dopamine D 1 Receptor Regulation of Phospholipase C | 1 |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 10 | |
| 19 | 87 | |
| 20 | 3 |
About Gilbert M. Eisner
Gilbert M. Eisner is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 112 papers that have together received 4.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (34 papers), Hormonal Regulation and Hypertension (33 papers) and Ion Transport and Channel Regulation (30 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Nephrology (623 citations) and Cardiology and Cardiovascular Medicine (1.6k citations). Gilbert M. Eisner has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Pedro A. José, Robin A. Felder, Laureano D. Asico, Chunyu Zeng, Lawrence M. Slotkoff, Ulrich Hopfer, Christian C. Felder, Peter W. Ramwell, J Robillard and Chunyu Zeng. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.