John R. Hepler
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 22
- Molecular Biology top 0.5%
- Protein Kinase Regulation and GTPase Signaling 58
- Receptor Mechanisms and Signaling 41
- Metabolism, Diabetes, and Cancer 9
- Ion channel regulation and function 9
- PI3K/AKT/mTOR signaling in cancer 5
- Cell Biology top 0.5%
- Cellular transport and secretion 12
- Physiology top 1%
- Immunology and Allergy top 2%
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- Blood Coagulation and Thrombosis Mechanisms 7
- Co-authors
- Alfred G. GilmanAlan V. SmrckaPaul C. SternweisT K HardenMaurine E. LinderTohru KozasaSuneela RamineniRonald Taussig
- Journals
- Journal of Biological Chemistry (21 papers)Molecular Pharmacology (7 papers)Cellular Signalling (6 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
John R. Hepler
101 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cellular and Molecular Neuroscience 2.4k
- Molecular Biology 6.4k
- Cell Biology 1.2k
- Physiology 222
- Immunology and Allergy 268
Countries citing papers authored by John R. Hepler
This map shows the geographic impact of John R. Hepler'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 John R. Hepler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Hepler more than expected).
Fields of papers citing papers by John R. Hepler
This network shows the impact of papers produced by John R. Hepler. 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 John R. Hepler. The network helps show where John R. Hepler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John R. Hepler, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 14 | |
| 7 | 2020 | 9 | |
| 8 | 2019 | 14 | |
| 9 | 2018 | 18 | |
| 10 | 2015 | 25 | |
| 11 | 2014 | 21 | |
| 12 | 2012 | 15 | |
| 13 | 2010 | 47 | |
| 14 | 2009 | 22 | |
| 15 | 2005 | 117 | |
| 16 | 2005 | 88 | |
| 17 | 2003 | 43 | |
| 18 | 2003 | 8 | |
| 19 | 2001 | 60 | |
| 20 | 1987 | 174 |
About John R. Hepler
John R. Hepler is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology, having authored 104 papers that have together received 8.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (58 papers), Receptor Mechanisms and Signaling (41 papers), Neuroscience and Neuropharmacology Research (22 papers), Cellular transport and secretion (12 papers), Metabolism, Diabetes, and Cancer (9 papers), Ion channel regulation and function (9 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Molecular Biology (6.4k citations) and Cell Biology (1.2k citations). John R. Hepler has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Alfred G. Gilman, Alan V. Smrcka, Paul C. Sternweis, T K Harden, Maurine E. Linder, Tohru Kozasa, Suneela Ramineni, Ronald Taussig, Susanne M. Mumby and H. Shelton Earp. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, Cellular Signalling, Proceedings of the National Academy of Sciences and Biochemical Journal.
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.