Philippe Michel

47 papers receiving 1.1k citations

Peers

Philippe Michel
Comparison fields: 5 of 132
  • Virology 328
  • Modeling and Simulation 133
  • Immunology 380
  • Agronomy and Crop Science 117
  • Mathematical Physics 83
Replace Sergei S. Pilyugin with:
Sergei S. Pilyugin United States
Hongying Shu China
John M. Dye United States
Hisashi Inaba Japan
Patrick De Leenheer United States
K. Renee Fister United States
Shingo Iwami Japan
Mark Muldoon United Kingdom
Michael A. Gilchrist United States
Winston Garira Zimbabwe
Philippe Michel relative to Sergei S. Pilyugin United States Sergei S. Pilyugin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Philippe Michel

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Michel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994212
2 2005136
3 1997121
4 1996104
5 199891
6 199779
7 200056
8 200652
9 200438
10 200034
11 201629
12 201213
13 199612
14 199911
15 199211
16 200210
17 200610
18 20139
19 20078
20 20118

About Philippe Michel

Philippe Michel is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Modeling and Simulation, Public Health, Environmental and Occupational Health and Immunology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Economic theories and models (14 papers), Economic Theory and Policy (9 papers), Mathematical Biology Tumor Growth (7 papers), Fiscal Policy and Economic Growth (5 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers), Economic Growth and Productivity (4 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Virology (328 citations), Modeling and Simulation (133 citations), Immunology (380 citations), Agronomy and Crop Science (117 citations) and Mathematical Physics (83 citations). Philippe Michel has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Stéphane Mischler, Benoı̂t Perthame, Christian Roussilhon, G Aribot, Françoise Barré‐Sinoussi, Frédéric De Bels, Bruno Hurtrel, Jérôme Estaquier, A.‐M. Aubertin and Elizabeth Muchmore. Their work appears in journals such as Comptes Rendus Mathématique, Mathematical Models and Methods in Applied Sciences, Journal of Theoretical Biology, Multiscale Modeling and Simulation and Journal of Virology.

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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