John Nadeau
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Physiology top 5%
- Molecular Biology
- Co-authors
- Nancy J. BrownDavid L. RobertsonAndrew J. WoodL E LimbirdDouglas E. VaughanRoss D. FeldmanJames V. GainerA. J. J. Wood
- Topics
- Blood Pressure and Hypertension Studies (7 papers)Receptor Mechanisms and Signaling (6 papers)Hormonal Regulation and Hypertension (6 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismBehavioral NeuroscienceEndocrine and Autonomic Systems
- Journals
- New England Journal of MedicineJournal of Clinical InvestigationThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesCanada
In The Last Decade
John Nadeau
30 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 89
- Cardiology and Cardiovascular Medicine 539
- Endocrinology, Diabetes and Metabolism 530
- Surgery 473
- Physiology 384
- Molecular Biology 317
Countries citing papers authored by John Nadeau
This map shows the geographic impact of John Nadeau'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 Nadeau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Nadeau more than expected).
Fields of papers citing papers by John Nadeau
This network shows the impact of papers produced by John Nadeau. 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 Nadeau. The network helps show where John Nadeau may publish in the future.
Co-authorship network of co-authors of John Nadeau
This figure shows the co-authorship network connecting the top 25 collaborators of John Nadeau. A scholar is included among the top collaborators of John Nadeau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Nadeau. John Nadeau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 114 | |
| 2 | 2 | |
| 3 | 156 | |
| 4 | 316 | |
| 5 | 13 | |
| 6 | 31 | |
| 7 | 72 | |
| 8 | 43 | |
| 9 | 16 | |
| 10 | 133 | |
| 11 | 8 | |
| 12 | 53 | |
| 13 | 53 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 43 | |
| 17 | 49 | |
| 18 | 9 | |
| 19 | 6 | |
| 20 | 12 |
About John Nadeau
John Nadeau is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (7 papers), Receptor Mechanisms and Signaling (6 papers) and Hormonal Regulation and Hypertension (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (530 citations), Behavioral Neuroscience (99 citations) and Endocrine and Autonomic Systems (170 citations). John Nadeau has collaborated with scholars based in United States and Canada. Frequent co-authors include Nancy J. Brown, David L. Robertson, Andrew J. Wood, L E Limbird, Douglas E. Vaughan, Ross D. Feldman, James V. Gainer, A. J. J. Wood, David Robertson and David L. Page. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation and The Journal of Clinical Endocrinology & Metabolism.
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.