Pascal Puchois

1.5k citations
33 papers · 1.3k indexed · h-index 15

Pascal Puchois

33 papers receiving 1.3k citations

Peers

Pascal Puchois
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 782
  • Cancer Research 347
  • Surgery 775
  • Cardiology and Cardiovascular Medicine 205
  • Biochemistry 50
Replace Taku Yamamura with:
Taku Yamamura Japan
R J Havel United States
P. Alaupovic United States
Y L Marcel Canada
Glenda D. Talley United States
Koji Oida Japan
D.W. Anderson United States
R Ramakrishnan United States
M. Poapst Canada
Carolyn Knight‐Gibson United States
Pascal Puchois relative to Taku Yamamura Japan Taku Yamamura's profile →
Citations per field
00.5×1.7×
Taku Yamamura · 1×
Citations per year

Countries citing papers authored by Pascal Puchois

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Puchois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202011
2 202014
3 202017
4 199166
5 19902
6 198914
7 198970
8 1989105
9 19885
10
Effect of different APO A-I containing lipoprotein particles on reverse cholesterol transport in fat cells.
19888
11 198715
12 1987284
13 19875
14 19871
15 198793
16 198721
17 198744
18 19871
19 198537
20 19851

About Pascal Puchois

Pascal Puchois is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Surgery, Physiology and Biophysics, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Lipoproteins and Cardiovascular Health (13 papers), Cancer, Lipids, and Metabolism (12 papers), Cholesterol and Lipid Metabolism (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Biomedical Ethics and Regulation (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (782 citations), Cancer Research (347 citations), Surgery (775 citations), Cardiology and Cardiovascular Medicine (205 citations) and Biochemistry (50 citations). Pascal Puchois has collaborated with scholars based in France, United States and Finland. Frequent co-authors include Jean‐Charles Fruchart, Gérard Ailhaud, Ronald Barbaras, Eugen Koren, J C Fruchart, A. Kandoussi, M Bertrand, Jean L. Fourrier, P. Fievet and Petar Alaupovic. Their work appears in journals such as Atherosclerosis, Clinical Chemistry, Clinica Chimica Acta, Advances in experimental medicine and biology and Journal of Lipid Research.

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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