M. Philippe

987 citations
22 papers · 828 · h-index 11

Impact in

Papers in

M. Philippe

20 papers receiving 811 citations

Peers

M. Philippe
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 496
  • Endocrinology, Diabetes and Metabolism 162
  • Behavioral Neuroscience 23
  • Pulmonary and Respiratory Medicine 140
  • Physiology 111
Replace Kenji Mizuno with:
Kenji Mizuno Japan
Paolo Pinna Parpaglia Italy
Nathalie Lapointe Canada
Tsuguhiko NAKAI Japan
Ryoyu Takeda Japan
Shawna A. Cooper United States
Amy Banes‐Berceli United States
Nozomu Inamoto Japan
Akinori Hamaguchi Japan
Pradyumna E. Tummala United States
M. Philippe relative to Kenji Mizuno Japan Kenji Mizuno's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Philippe

Since Specialization
Citations

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

Fields of papers citing papers by M. Philippe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988194
2 1994146
3 200793
4 199782
5 199376
6 198752
7 199051
8 199534
9 199026
10 197717
11 198713
12 19819
13 19828
14 19787
15 19777
16 19815
17
Consequences of renal morphologic damage induced by inhibition of converting enzyme in rat renovascular hypertension.
19873
18 19691
19 19801
20 19781

About M. Philippe

M. Philippe is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Genetics and Pharmacology, having authored 22 papers that have together received 828 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (5 papers), Renin-Angiotensin System Studies (3 papers), Receptor Mechanisms and Signaling (3 papers), Estrogen and related hormone effects (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Hormonal and reproductive studies (2 papers), Ion Transport and Channel Regulation (2 papers) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (496 citations), Endocrinology, Diabetes and Metabolism (162 citations), Behavioral Neuroscience (23 citations), Pulmonary and Respiratory Medicine (140 citations) and Physiology (111 citations). M. Philippe has collaborated with scholars based in France, Tunisia and Japan. Frequent co-authors include Jean‐Baptiste Michel, Pierre Corvol, B. Corman, Anne-Laure Lattion, J L Salzmann, Jean-Pierre Camilleri, Jean‐Baptiste Michel, Elizabeth Scalbert, B. I. Levy and Pierre Poitevin. Their work appears in journals such as The Journal of Antibiotics, Cardiovascular Research, Biochemical and Biophysical Research Communications, Journal of Pharmacology and Experimental Therapeutics and Endocrinology.

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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