Philippe Charpiot

29 papers receiving 916 citations

Peers

Philippe Charpiot
Comparison fields: 5 of 84
  • Rheumatology 306
  • Nephrology 134
  • Biochemistry 67
  • Clinical Biochemistry 55
  • Cardiology and Cardiovascular Medicine 183
Replace Xing L. Wang with:
Xing L. Wang Australia
Arzu Ergen Türkiye
Derek Lang United Kingdom
Brigitte Kohl Germany
Stanley Heydrick United States
Jovan Evrovski Canada
Michiaki Usui Japan
Kazunari Matsumoto Japan
D.W. Jacobsen United States
Yoichiro Otaki Japan
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Citations per year

Countries citing papers authored by Philippe Charpiot

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Charpiot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995182
2 199993
3 200990
4 200072
5 201168
6 199355
7 200438
8 199337
9 200936
10 201036
11 199928
12 200527
13 201827
14 200024
15 200420
16 199718
17 199816
18 199613
19 199112
20 20086

About Philippe Charpiot

Philippe Charpiot is a scholar working on Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine, Rheumatology and Genetics, having authored 29 papers that have together received 933 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (6 papers), Connective tissue disorders research (4 papers), Coronary Interventions and Diagnostics (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Craniofacial Disorders and Treatments (2 papers), Pregnancy and preeclampsia studies (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Rheumatology (306 citations), Nephrology (134 citations), Biochemistry (67 citations), Clinical Biochemistry (55 citations) and Cardiology and Cardiovascular Medicine (183 citations). Philippe Charpiot has collaborated with scholars based in France, Switzerland and Lebanon. Frequent co-authors include R Calaf, Danielle Garçon, H. Bodard, A Friggi, Françoise Dignat‐George, Philippe Piquet, Pierre H. Rolland, R Luccioni, Odette Ghiringhelli and William Hornebeck. Their work appears in journals such as Electrophoresis, Journal of Hypertension, Journal of Visualized Experiments, Biochemical and Biophysical Research Communications and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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