J G Gerber
- Biochemistry top 2%
- Eicosanoids and Hypertension Pharmacology 10
- Virology top 5%
- Pharmacology top 5%
- Inflammatory mediators and NSAID effects 10
- Pharmacogenetics and Drug Metabolism 5
- Pharmacology top 5%
- Inflammatory mediators and NSAID effects 10
- Pharmacogenetics and Drug Metabolism 5
- Nephrology top 5%
- Renal function and acid-base balance 4
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- Neuropeptides and Animal Physiology 11
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- Receptor Mechanisms and Signaling 9
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- HIV/AIDS drug development and treatment 5
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- Nitric Oxide and Endothelin Effects 4
- Co-authors
- Alan S. NiesN A PayneDavid WylesJ. GálJohn W. HollifieldJohn Τ. ReevesN. F. VoelkelIvan F. McMurtry
- Cited by
- BiochemistryVirologyPharmacology
- Journals
- Journal of Clinical Investigation (1 paper)Circulation Research (7 papers)The Journal of Physiology (2 papers)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
J G Gerber
47 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Biochemistry 220
- Virology 85
- Pharmacology 281
- Pharmacology 137
- Nephrology 100
Countries citing papers authored by J G Gerber
This map shows the geographic impact of J G Gerber'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 J G Gerber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J G Gerber more than expected).
Fields of papers citing papers by J G Gerber
This network shows the impact of papers produced by J G Gerber. 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 J G Gerber. The network helps show where J G Gerber may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J G Gerber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2005 | 69 | |
| 3 | 2004 | 56 | |
| 4 | 1999 | 10 | |
| 5 | 1998 | 1 | |
| 6 | 1998 | 31 | |
| 7 | 1996 | 24 | |
| 8 | 1995 | 4 | |
| 9 | 1992 | 50 | |
| 10 | 1992 | 8 | |
| 11 | 1989 | 3 | |
| 12 | 1988 | 19 | |
| 13 | 1988 | 12 | |
| 14 | 1988 | 6 | |
| 15 | 1988 | 2 | |
| 16 | 1984 | 25 | |
| 17 | 1982 | 5 | |
| 18 | 1981 | 16 | |
| 19 | 1979 | 8 | |
| 20 | 1979 | 80 |
About J G Gerber
J G Gerber is a scholar working on Biochemistry, Virology and Cellular and Molecular Neuroscience, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Eicosanoids and Hypertension Pharmacology (10 papers), Inflammatory mediators and NSAID effects (10 papers), Receptor Mechanisms and Signaling (9 papers), Pharmacogenetics and Drug Metabolism (5 papers), HIV/AIDS drug development and treatment (5 papers), Nitric Oxide and Endothelin Effects (4 papers) and Renal function and acid-base balance (4 papers). The work is most often cited by research in Biochemistry (220 citations), Virology (85 citations) and Pharmacology (281 citations). J G Gerber has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Alan S. Nies, N A Payne, David Wyles, J. Gál, John W. Hollifield, John Τ. Reeves, N. F. Voelkel, Ivan F. McMurtry, Joann L. Data and William J. Crump. Their work appears in journals such as Journal of Clinical Investigation, Circulation Research and The Journal of 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.