Pascal Maurice

61 papers receiving 2.2k citations

Peers

Pascal Maurice
Comparison fields: 5 of 116
  • Endocrine and Autonomic Systems 357
  • Cellular and Molecular Neuroscience 347
  • Cancer Research 244
  • Genetics 410
  • Molecular Biology 973
Replace Jean Charron with:
Jean Charron Canada
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Kevin A. Kelley United States
Niles W. Fox United States
Michael D. Conkright United States
Alexander C. Zambon United States
Corinne Bousquet France
Marie‐Gabrielle Ludwig Switzerland
Mieczyslaw Martin Marcinkiewicz Canada
Olga Charlat United States
Pascal Maurice relative to Jean Charron Canada Jean Charron's profile →
Citations per field
00.5×2×2.6×
Jean Charron · 1×
Citations per year

Countries citing papers authored by Pascal Maurice

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Maurice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008256
2 2016202
3 2013108
4 2013100
5 201396
6 201188
7 200780
8 200872
9 201166
10 201664
11 201263
12 201060
13 201759
14 200552
15 201150
16 201950
17 201546
18 201645
19 201844
20 201843

About Pascal Maurice

Pascal Maurice is a scholar working on Genetics, Cancer Research, Endocrine and Autonomic Systems, Hematology and Molecular Biology, having authored 64 papers that have together received 2.3k indexed citations. Recurring topics across this work include Connective tissue disorders research (17 papers), Receptor Mechanisms and Signaling (13 papers), Protease and Inhibitor Mechanisms (11 papers), Glycosylation and Glycoproteins Research (9 papers), Platelet Disorders and Treatments (8 papers), Circadian rhythm and melatonin (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (357 citations), Cellular and Molecular Neuroscience (347 citations), Cancer Research (244 citations), Genetics (410 citations) and Molecular Biology (973 citations). Pascal Maurice has collaborated with scholars based in France, Germany and Russia. Frequent co-authors include Ralf Jockers, Laurent Duca, Sébastien A. Blaise, Philippe Delagrange, Laurent Martiny, Jean Albert Boutin, Laurent Debelle, Béatrice Romier, Avais M. Daulat and Maud Kamal. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Journal of Physiology and Biochemistry, Trends in Pharmacological Sciences and PLoS ONE.

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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