Gilbert M. Eisner

111 papers receiving 4.7k citations

Peers

Gilbert M. Eisner
Comparison fields: 5 of 132
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Nephrology 623
  • Cardiology and Cardiovascular Medicine 1.6k
  • Biochemistry 347
  • Molecular Biology 2.6k
Replace Toru Aizawa with:
Toru Aizawa Japan
Hartmut Oßwald Germany
Alexander Staruschenko United States
Katsuyuki Ando Japan
Tatsuo Shimosawa Japan
Jeanette Erdmann Germany
Boye L. Jensen Denmark
Jia L. Zhuo United States
William J. Arendshorst United States
Masaki Mogi Japan
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Citations per year

Countries citing papers authored by Gilbert M. Eisner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Gilbert M. Eisner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gilbert M. Eisner Line = papers co-authored together Gilbert M. Eisner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005240
2 2002222
3 2013204
4 1998179
5 1996154
6 1998144
7 1989117
8 1978109
9 2009106
10 199099
11 200797
12 200696
13 200495
14 201091
15 200688
16 198987
17 200387
18 200286
19 197176
20 198376

About Gilbert M. Eisner

Gilbert M. Eisner is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Physiology, 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), Renin-Angiotensin System Studies (30 papers), Ion Transport and Channel Regulation (30 papers), Electrolyte and hormonal disorders (23 papers), Nitric Oxide and Endothelin Effects (16 papers), Renal function and acid-base balance (13 papers) and Blood Pressure and Hypertension Studies (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Nephrology (623 citations), Cardiology and Cardiovascular Medicine (1.6k citations), Biochemistry (347 citations) and Molecular Biology (2.6k 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, Chunyu Zeng and J Robillard. Their work appears in journals such as Hypertension, American Journal of Physiology-Renal Physiology, Pediatric Research, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Journal of Clinical Investigation.

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.

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