Marc Derive

41 papers receiving 1.4k citations

Peers

Marc Derive
Comparison fields: 5 of 96
  • Immunology 1.1k
  • Critical Care and Intensive Care Medicine 48
  • Neurology 61
  • Health Information Management 33
  • Epidemiology 175
Replace Frédéric Massin with:
Frédéric Massin France
Jérémie Lemarie France
Aleah L. Brubaker United States
Wasim A. Dar United States
Matthew L. Meizlish United States
Mihai Oltean Sweden
Caroline Huynh Canada
Hye Won Kim South Korea
Naomi‐Liza Denning United States
Ayda Henriques Schneider Brazil
Marc Derive relative to Frédéric Massin France Frédéric Massin's profile →
Citations per field
00.5×2×4×5.8×
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Citations per year

Countries citing papers authored by Marc Derive

Since Specialization
Citations

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

Fields of papers citing papers by Marc Derive

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017197
2 2015118
3 2012103
4 201883
5 202271
6 202068
7 202167
8 201265
9 202359
10 202054
11 201352
12 202151
13 201341
14 201840
15 201036
16 201835
17 200933
18 201631
19 202130
20 201729

About Marc Derive

Marc Derive is a scholar working on Immunology, Physical Therapy, Sports Therapy and Rehabilitation, Health Information Management, Epidemiology and Infectious Diseases, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Inflammation biomarkers and pathways (37 papers), Sepsis Diagnosis and Treatment (5 papers), COVID-19 Clinical Research Studies (3 papers), Apelin-related biomedical research (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Methodologies in Health Research and Practice (2 papers), Kawasaki Disease and Coronary Complications (2 papers) and Sports and Physical Education Research (2 papers). The work is most often cited by research in Immunology (1.1k citations), Critical Care and Intensive Care Medicine (48 citations), Neurology (61 citations), Health Information Management (33 citations) and Epidemiology (175 citations). Marc Derive has collaborated with scholars based in France, Belgium and Netherlands. Frequent co-authors include Sébastien Gibot, Amir Boufenzer, Lucie Jolly, Youcef Bouazza, Kévin Carrasco, Jaklien C. Leemans, Sandrine Florquin, Mark C. Dessing, Alessandra Tammaro and Corentine Alauzet. Their work appears in journals such as Intensive Care Medicine, Cellular and Molecular Immunology, Frontiers in Immunology, Critical Care and Shock.

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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