John R. Hagaman
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- Renin-Angiotensin System Studies 8
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- Hormonal Regulation and Hypertension 6
- Molecular Biology top 5%
- CRISPR and Genetic Engineering 4
- Receptor Mechanisms and Signaling 4
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies 4
- Immunology top 5%
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- Birth, Development, and Health 8
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- Adipose Tissue and Metabolism 5
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- Coronary Interventions and Diagnostics 4
- Co-authors
- Oliver SmithiesJohn H. KregeJeffrey B. HodginNobuo MaedaPaula M. OliverJorge A. PiedrahitaJ. Charles JennetteSimon W. M. John
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismMolecular Biology
- Journals
- Nature (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (12 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
John R. Hagaman
44 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cardiology and Cardiovascular Medicine 2.0k
- Endocrinology, Diabetes and Metabolism 1.2k
- Molecular Biology 2.1k
- Obstetrics and Gynecology 224
- Immunology 574
Countries citing papers authored by John R. Hagaman
This map shows the geographic impact of John R. Hagaman'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. Hagaman 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. Hagaman more than expected).
Fields of papers citing papers by John R. Hagaman
This network shows the impact of papers produced by John R. Hagaman. 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. Hagaman. The network helps show where John R. Hagaman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John R. Hagaman, 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 | 2022 | 8 | |
| 3 | 2021 | 9 | |
| 4 | 2020 | 27 | |
| 5 | 2019 | 16 | |
| 6 | 2012 | 92 | |
| 7 | 2007 | 60 | |
| 8 | 2007 | 59 | |
| 9 | 2007 | 33 | |
| 10 | 2006 | 2 | |
| 11 | An improved technique for tail-cuff blood pressure measurements with dark-tailed mice. | 2005 | 5 |
| 12 | 2004 | 125 | |
| 13 | 2002 | 39 | |
| 14 | 2001 | 249 | |
| 15 | 1996 | 249 | |
| 16 | Male–female differences in fertility and blood pressure in ACE-deficient micebreakdown → | 1995 | 546 |
| 17 | Genetic decreases in atrial natriuretic peptide and salt-sensitive hypertension [published erratum appears in Science 1995 Mar 24;267(5205):1753] | 1995 | 2 |
| 18 | 1988 | 4 | |
| 19 | 1988 | 39 | |
| 20 | 1986 | 13 |
About John R. Hagaman
John R. Hagaman is a scholar working on Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology and Endocrinology, Diabetes and Metabolism, having authored 47 papers that have together received 5.1k indexed citations. Recurring topics across this work include Birth, Development, and Health (8 papers), Renin-Angiotensin System Studies (8 papers), Hormonal Regulation and Hypertension (6 papers), Adipose Tissue and Metabolism (5 papers), Pregnancy and preeclampsia studies (4 papers), CRISPR and Genetic Engineering (4 papers), Coronary Interventions and Diagnostics (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.0k citations), Endocrinology, Diabetes and Metabolism (1.2k citations) and Molecular Biology (2.1k citations). John R. Hagaman has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Oliver Smithies, John H. Krege, Jeffrey B. Hodgin, Nobuo Maeda, Paula M. Oliver, Jorge A. Piedrahita, J. Charles Jennette, Simon W. M. John, Eric Bachman and Deborah A. O’Brien. Their work appears in journals such as Nature, Science 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.