T T Guyene
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Nephrology top 5%
- Genetics
- Co-authors
- Joël MénardGilles ChâtellierMichel MarreHélène LeblancP PassaPierre CorvolMichel AziziM. Lenfant
- Topics
- Renin-Angiotensin System Studies (10 papers)Hormonal Regulation and Hypertension (9 papers)Pharmacogenetics and Drug Metabolism (4 papers)
- Partner nations
- FranceSwitzerlandDenmark
In The Last Decade
T T Guyene
21 papers receiving 1000 citations
Peers
Comparison fields: 5 of 80
- Cardiology and Cardiovascular Medicine 554
- Endocrinology, Diabetes and Metabolism 511
- Molecular Biology 230
- Nephrology 167
- Genetics 123
Countries citing papers authored by T T Guyene
This map shows the geographic impact of T T Guyene'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 T T Guyene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T T Guyene more than expected).
Fields of papers citing papers by T T Guyene
This network shows the impact of papers produced by T T Guyene. 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 T T Guyene. The network helps show where T T Guyene may publish in the future.
Co-authorship network of co-authors of T T Guyene
This figure shows the co-authorship network connecting the top 25 collaborators of T T Guyene. A scholar is included among the top collaborators of T T Guyene 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 T T Guyene. T T Guyene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 27 | |
| 3 | 15 | |
| 4 | 16 | |
| 5 | 276 | |
| 6 | 11 | |
| 7 | 9 | |
| 8 | [Conn's adenoma. Diagnostic and prognostic value of the measurement of potassium, renin, aldosterone levels and the aldosterone/renin ratio]. | 15 |
| 9 | 4 | |
| 10 | Acute effects of a pseudo-tetrapeptide as renin inhibitor on blood pressure and renin-angiotensin system of sodium-repleted and sodium-depleted hypertensive patients. | 4 |
| 11 | 34 | |
| 12 | 51 | |
| 13 | 34 | |
| 14 | 19 | |
| 15 | 2 | |
| 16 | 71 | |
| 17 | 22 | |
| 18 | 284 | |
| 19 | 103 | |
| 20 | 17 |
About T T Guyene
T T Guyene is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Pharmacology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (10 papers), Hormonal Regulation and Hypertension (9 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (511 citations), Cardiology and Cardiovascular Medicine (554 citations) and Nephrology (167 citations). T T Guyene has collaborated with scholars based in France, Switzerland and Denmark. Frequent co-authors include Joël Ménard, Gilles Châtellier, Michel Marre, Hélène Leblanc, P Passa, Pierre Corvol, Michel Azizi, M. Lenfant, J M Grognet and A Rousseau. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.