Philippe Moulin

13.6k citations
190 papers · 6.3k indexed · h-index 43

Philippe Moulin

180 papers receiving 6.1k citations

Peers

Philippe Moulin
Comparison fields: 5 of 168
  • Cardiology and Cardiovascular Medicine 2.2k
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Surgery 1.6k
  • Molecular Biology 877
  • Epidemiology 624
Replace Hani N. Sabbah with:
Hani N. Sabbah United States
Yimin Cui China
Hideki Ishii Japan
Yong‐ho Lee South Korea
Ji‐Guang Wang China
Ji‐Won Lee South Korea
Jeffrey Lidicker United States
Colin Berry United Kingdom
Joseph S. Janicki United States
Charalambos Antoniades United Kingdom
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Citations per field
00.5×1.5×1.9×
Hani N. Sabbah · 1×
Citations per year

Countries citing papers authored by Philippe Moulin

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Moulin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Moulin

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Moulin. A scholar is included among the top collaborators of Philippe Moulin 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 Philippe Moulin. Philippe Moulin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 3
5 1
6 6
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8 60
9
Routine use of statins and increased mortality related to COVID-19 in inpatients with type 2 diabetes: Results from the CORONADO study.
10
10 9
11 15
12 13
13 4
14 59
15
46th Annual Allerton Conference on Communication, Control, and Computing : September 24-26, 2008
1
16 9
17 12
18 20
19 23
20
La protéine de transfert du cholestérol estérifié (CETP)
2

About Philippe Moulin

Philippe Moulin is a scholar working on Fluid Flow and Transfer Processes, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 190 papers that have together received 6.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (38 papers), Lipid metabolism and disorders (36 papers) and Lipoproteins and Cardiovascular Health (31 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Cardiology and Cardiovascular Medicine (2.2k citations) and Automotive Engineering (518 citations). Philippe Moulin has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Fabrice Bonnet, François Berthézène, Jean‐Louis Terra, Alan R. Tall, Michael R. Skilton, Hubert Vidal, André Sérusclat, Eric Dusserre, Sophie Bernard and Agnès Sassolas. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Gastroenterology.

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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