Pascal Puchois

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

Impact in

Papers in

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-authors

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

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987286
2 1987284
3 1989105
4 198793
5 198970
6 199166
7 199054
8 199052
9 198744
10 198537
11 198721
12 198618
13 202017
14 198417
15 198715
16 202014
17 198914
18 198814
19 198813
20 198712

About Pascal Puchois

Pascal Puchois is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research, Molecular Biology and Epidemiology, 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), Adipose Tissue and Metabolism (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and Peroxisome Proliferator-Activated Receptors (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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