Gilbert M. Eisner

113 papers receiving 5.1k citations

Peers

Gilbert M. Eisner
Comparison fields: 5 of 128
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Nephrology 589
  • Cardiology and Cardiovascular Medicine 1.6k
  • Biochemistry 351
  • Molecular Biology 2.7k
Replace Toru Aizawa with:
Toru Aizawa Japan
Ole Skøtt Denmark
Hartmut Oßwald Germany
Boye Lagerbon Jensen Denmark
Alexander Staruschenko United States
John S.D. Chan Canada
Jeffrey Lawrence Garvin United States
Heimo Ehmke Germany
Michel B. Vallotton Switzerland
William J. Arendshorst United States
Gilbert M. Eisner relative to Toru Aizawa Japan Toru Aizawa's profile →
Citations per field
00.5×1.5×2.1×
Toru Aizawa · 1×
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 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005292
2 2002237
3 2013220
4 1998188
5 2008174
6 1996162
7 1998146
8 1978128
9 1989125
10 2009111
11 2007105
12 2004100
13 199098
14 200697
15 200293
16 201091
17 200689
18 200388
19 198987
20 200882

About Gilbert M. Eisner

Gilbert M. Eisner is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Nephrology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 114 papers that have together received 5.4k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (31 papers), Receptor Mechanisms and Signaling (31 papers), Ion Transport and Channel Regulation (30 papers), Renin-Angiotensin System Studies (28 papers), Electrolyte and hormonal disorders (24 papers), Nitric Oxide and Endothelin Effects (14 papers), Renal function and acid-base balance (13 papers) and Neuroendocrine regulation and behavior (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Nephrology (589 citations), Cardiology and Cardiovascular Medicine (1.6k citations), Biochemistry (351 citations) and Molecular Biology (2.7k 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, Christian C. Felder, Ulrich Hopfer, Peter W. Ramwell, J Robillard and Chunyu Zeng. Their work appears in journals such as Hypertension, American Journal of Physiology-Renal Physiology, Pediatric Research, Journal of Clinical Investigation and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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.

Explore authors with similar magnitude of impact