T T Guyenne

1.1k citations
14 papers · 845 · h-index 12

Impact in

Papers in

T T Guyenne

14 papers receiving 792 citations

Peers

T T Guyenne
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 409
  • Endocrinology, Diabetes and Metabolism 302
  • Nephrology 113
  • Pulmonary and Respiratory Medicine 125
  • Molecular Biology 259
Replace Stephen A. Katz with:
Stephen A. Katz United States
Géza Simon United States
I. Pham France
O. M. Helmer United States
Jürgen Theuer Germany
Machiko Yabana Japan
T T Guyene France
Philip H. Frost United States
Takashi Tsutsui Japan
Per K. Christensen Denmark
T T Guyenne relative to Stephen A. Katz United States Stephen A. Katz's profile →
Citations per field
00.5×2.7×
Stephen A. Katz · 1×
Citations per year

Countries citing papers authored by T T Guyenne

Since Specialization
Citations

This map shows the geographic impact of T T Guyenne'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 Guyenne 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 Guyenne more than expected).

Fields of papers citing papers by T T Guyenne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T T Guyenne. 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 Guyenne. The network helps show where T T Guyenne may publish in the future.

Co-authors

The 25 scholars most cited alongside T T Guyenne, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T T Guyenne Line = papers co-authored together T T Guyenne links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1987207
2 1979117
3 1984106
4
Direct immunometric assay of active renin in human plasma.
198578
5 199566
6 199257
7 197955
8 198741
9 199132
10 198430
11 198730
12
[Effects of deprivation and replacement by percutaneous 17 beta estradiol and oral progesterone on blood pressure and metabolic parameters in menopause patients with non-insulin-dependent diabetes].
199117
13 19828
14 19951

About T T Guyenne

T T Guyenne is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Spectroscopy and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 845 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Renal cell carcinoma treatment (3 papers), Renal and related cancers (2 papers), Renin-Angiotensin System Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Hormonal Regulation and Hypertension (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (409 citations), Endocrinology, Diabetes and Metabolism (302 citations), Nephrology (113 citations), Pulmonary and Respiratory Medicine (125 citations) and Molecular Biology (259 citations). T T Guyenne has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Pierre Corvol, Joël Ménard, F. X. Galen, Hélène Leblanc, L Suarez, Michel Marre, P Passa, D Simon, Bernard Pau and J M Duclos. Their work appears in journals such as The Journal of Urology, The American Journal of Medicine, Hypertension, British Journal of Clinical Pharmacology and Clinical Chemistry.

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.

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