Michael I. Oliverio
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 1%
- Pharmacology top 5%
- Physiology top 10%
- Co-authors
- Thomas M. CoffmanOliver SmithiesMasaki ItoPeter MannonO. SmithiesNobuo MaedaChristopher F. BestLaurent Audoly
- Topics
- Renin-Angiotensin System Studies (24 papers)Receptor Mechanisms and Signaling (18 papers)Hormonal Regulation and Hypertension (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationKidney International
- Partner nations
- United StatesItalyJapan
In The Last Decade
Michael I. Oliverio
30 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cardiology and Cardiovascular Medicine 1.6k
- Molecular Biology 1.1k
- Endocrinology, Diabetes and Metabolism 1.1k
- Pharmacology 349
- Physiology 284
Countries citing papers authored by Michael I. Oliverio
This map shows the geographic impact of Michael I. Oliverio'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 Michael I. Oliverio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael I. Oliverio more than expected).
Fields of papers citing papers by Michael I. Oliverio
This network shows the impact of papers produced by Michael I. Oliverio. 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 Michael I. Oliverio. The network helps show where Michael I. Oliverio may publish in the future.
Co-authorship network of co-authors of Michael I. Oliverio
This figure shows the co-authorship network connecting the top 25 collaborators of Michael I. Oliverio. A scholar is included among the top collaborators of Michael I. Oliverio 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 Michael I. Oliverio. Michael I. Oliverio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 269 | |
| 3 | 18 | |
| 4 | 7 | |
| 5 | 33 | |
| 6 | 68 | |
| 7 | 1 | |
| 8 | 156 | |
| 9 | 19 | |
| 10 | 82 | |
| 11 | 253 | |
| 12 | 45 | |
| 13 | 49 | |
| 14 | Effects of candesartan on angiotensin II-induced renal vasoconstriction in rats and mice. | 14 |
| 15 | 267 | |
| 16 | 68 | |
| 17 | 40 | |
| 18 | 106 | |
| 19 | Regulation of blood pressure by the type 1A angiotensin II receptor gene.breakdown → | 513 |
| 20 | 31 |
About Michael I. Oliverio
Michael I. Oliverio is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (24 papers), Receptor Mechanisms and Signaling (18 papers) and Hormonal Regulation and Hypertension (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.6k citations), Endocrinology, Diabetes and Metabolism (1.1k citations) and Nephrology (181 citations). Michael I. Oliverio has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Thomas M. Coffman, Oliver Smithies, Masaki Ito, Peter Mannon, O. Smithies, Nobuo Maeda, Christopher F. Best, Laurent Audoly, Thu H. Le and Hyung‐Suk Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Kidney International.
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.