Anne Charru

11 papers receiving 2.8k citations

Anne Charru's Hit Papers

Angiotensin II type 1 receptor gene polymorphisms in human essential hypertension. 1994 · 598 citations
5980+11+22Years since publication4008001.2k

Peers

Anne Charru
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Cardiology and Cardiovascular Medicine 1.9k
  • Pharmacology 537
  • Genetics 453
  • Obstetrics and Gynecology 91
Replace Chiara Troffa with:
Chiara Troffa Italy
Wendy W. Batenburg Netherlands
Joep H.M. van Esch Netherlands
James V. Gainer United States
Deborah Applebaum‐Bowden United States
Martin Ridderstråle Sweden
R. F. Bing United Kingdom
Yuki Kaneshiro Japan
Marina C. Muñoz Argentina
Francesca Pizzolo Italy
Anne Charru relative to Chiara Troffa Italy Chiara Troffa's profile →
Citations per field
00.5×5.3×
Chiara Troffa · 1×
Citations per year

Countries citing papers authored by Anne Charru

Since Specialization
Citations

This map shows the geographic impact of Anne Charru'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 Anne Charru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Charru more than expected).

Fields of papers citing papers by Anne Charru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anne Charru, 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 Anne Charru Line = papers co-authored together Anne Charru links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Molecular basis of human hypertension: Role of angiotensinogen
Hit paper breakdown →
19921490
2
Angiotensin II type 1 receptor gene polymorphisms in human essential hypertension.
Hit paper breakdown →
1994598
3 1997243
4 1987197
5 1995125
6 199281
7 199545
8 199230
9 198823
10
Short report: HYPERGENE: a clinical and genetic database for genetic analysis of human hypertension.
199411
11 19949

About Anne Charru

Anne Charru is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Pharmacology, Genetics and Nephrology, having authored 11 papers that have together received 2.9k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (6 papers), Hormonal Regulation and Hypertension (6 papers), Apelin-related biomedical research (3 papers), Nitric Oxide and Endothelin Effects (1 paper), Potassium and Related Disorders (1 paper), Renal function and acid-base balance (1 paper), Estrogen and related hormone effects (1 paper) and Nutrition, Genetics, and Disease (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Cardiology and Cardiovascular Medicine (1.9k citations), Pharmacology (537 citations), Genetics (453 citations) and Obstetrics and Gynecology (91 citations). Anne Charru has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Xavier Jeunemaı̂tre, Pierre Corvol, Jean‐Marc Lalouel, Christopher S. Williams, Yuri Kotelevtsev, Roger R. Williams, Steven C. Hunt, Paul N. Hopkins, Richard P. Lifton and Florent Soubrier. Their work appears in journals such as The American Journal of Cardiology, Circulation, Hypertension, Human Genetics and Cell.

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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