Philippe Duquesnoy

6.6k citations
71 papers · 4.0k · h-index 37

Impact in

Papers in

Philippe Duquesnoy

70 papers receiving 3.9k citations

Peers

Philippe Duquesnoy
Comparison fields: 5 of 114
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Genetics 1.1k
  • Immunology 640
  • Molecular Biology 1.9k
  • Hematology 234
Replace Paula S. Henthorn with:
Paula S. Henthorn United States
R. Glenn Hammonds United States
P. Joseph Mee United Kingdom
Suvimol Hill United States
Olli Ritvos Finland
Pamela R. Fain United States
A. J. Kahn United States
Eleanor C. Weir United States
Gen Nishimura Japan
Bernard Perbal France
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Citations per field
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Paula S. Henthorn · 1×
Citations per year

Countries citing papers authored by Philippe Duquesnoy

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Duquesnoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008288
2 1989244
3 2001191
4 2000163
5 2000154
6 2017147
7 2007129
8 2012125
9 1992122
10 1996122
11 1994122
12 1993108
13 2009106
14 199898
15 199395
16 199389
17 201179
18 201178
19 198875
20 199172

About Philippe Duquesnoy

Philippe Duquesnoy is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Pulmonary and Respiratory Medicine and Surgery, having authored 71 papers that have together received 4.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (24 papers), Inflammasome and immune disorders (18 papers), Cystic Fibrosis Research Advances (7 papers), Genetic and Kidney Cyst Diseases (6 papers), Metabolism, Diabetes, and Cancer (5 papers), IL-33, ST2, and ILC Pathways (5 papers), Digestive system and related health (5 papers) and Genetic Syndromes and Imprinting (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Genetics (1.1k citations), Immunology (640 citations), Molecular Biology (1.9k citations) and Hematology (234 citations). Philippe Duquesnoy has collaborated with scholars based in France, United States and Armenia. Frequent co-authors include Serge Amselem, Michel Goossens, Marie‐Laure Sobrier, Bénédicte Duriez, Florence Dastot, Gilles Grateau, M Goossens, Isabelle Jéru, Estelle Escudier and Emmanuelle Cochet. Their work appears in journals such as The American Journal of Human Genetics, PLoS ONE, Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and FEBS Letters.

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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