David Masson

10.4k citations
162 papers · 4.6k · h-index 39

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 38
    • Lipoproteins and Cardiovascular Health 14
    • Peroxisome Proliferator-Activated Receptors 10

David Masson

148 papers receiving 4.5k citations

Peers

David Masson
Comparison fields: 5 of 151
  • Endocrinology, Diabetes and Metabolism 624
  • Immunology 784
  • Physiology 133
  • Biochemistry 188
  • Surgery 1.0k
Replace Gordon A. Francis with:
Gordon A. Francis Canada
Xavier Collet France
Ronit Shiri‐Sverdlov Netherlands
François Tercé France
Lucia Rohrer Switzerland
Takayoshi Toyota Japan
Teresa Padró Spain
Francesco Paolo Mancini Italy
Robert J. Konrad United States
Xiaoni Kong China
David Masson relative to Gordon A. Francis Canada Gordon A. Francis's profile →
Citations per field
00.5×1.5×
Gordon A. Francis · 1×
Citations per year

Countries citing papers authored by David Masson

Since Specialization
Citations

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

Fields of papers citing papers by David Masson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012270
2 2001242
3 2010175
4 2008156
5 2021152
6 2012134
7 2000110
8 2004106
9 201597
10 200895
11 200594
12 200981
13 200178
14 199971
15 202165
16 200362
17 200962
18 199859
19 201356
20 201556

About David Masson

David Masson is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Epidemiology and Oncology, having authored 162 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (38 papers), Drug Transport and Resistance Mechanisms (14 papers), Lipoproteins and Cardiovascular Health (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Liver Disease Diagnosis and Treatment (12 papers), Cancer, Lipids, and Metabolism (11 papers), Peroxisome Proliferator-Activated Receptors (10 papers) and Lipid metabolism and biosynthesis (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (624 citations), Immunology (784 citations), Physiology (133 citations), Biochemistry (188 citations) and Surgery (1.0k citations). David Masson has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Laurent Lagrost, Thomas Gautier, Philippe Gambert, Valérie Deckert, Anne Athias, Jean-Paul Paı̈s de Barros, Catherine Desrumaux, Charles Thomas, Alan R. Tall and Xian‐Cheng Jiang. Their work appears in journals such as Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology, Atherosclerosis, Journal of Biological Chemistry and Frontiers in Immunology.

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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