Jean‐Philippe Michel

53 total papers · 1.0k total citations
41 papers, 806 citations indexed

About

Jean‐Philippe Michel is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Jean‐Philippe Michel has authored 41 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Materials Chemistry and 11 papers in Biomedical Engineering. Recurrent topics in Jean‐Philippe Michel's work include Photodynamic Therapy Research Studies (8 papers), Porphyrin and Phthalocyanine Chemistry (8 papers) and Lipid Membrane Structure and Behavior (6 papers). Jean‐Philippe Michel is often cited by papers focused on Photodynamic Therapy Research Studies (8 papers), Porphyrin and Phthalocyanine Chemistry (8 papers) and Lipid Membrane Structure and Behavior (6 papers). Jean‐Philippe Michel collaborates with scholars based in France, United States and Greece. Jean‐Philippe Michel's co-authors include Ali Makky, Véronique Rosilio, Mari Gingery, Laurence Lavelle, Philippe Maillard, Ph. Maillard, J. Raffi, Athéna Kasselouri, Elise Guégain and Tanguy Boissenot and has published in prestigious journals such as ACS Nano, Journal of The Electrochemical Society and Macromolecules.

In The Last Decade

Jean‐Philippe Michel

40 papers receiving 793 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jean‐Philippe Michel 268 214 202 122 118 41 806
Shuang Yang 347 1.3× 215 1.0× 74 0.4× 97 0.8× 70 0.6× 64 1.0k
Selma Aparecida Souza Kückelhaus 258 1.0× 152 0.7× 102 0.5× 144 1.2× 50 0.4× 56 987
Mingrui Liao 312 1.2× 149 0.7× 98 0.5× 219 1.8× 90 0.8× 49 953
Ludan Zhang 188 0.7× 301 1.4× 218 1.1× 46 0.4× 100 0.8× 54 785
Daniel Lauster 485 1.8× 134 0.6× 83 0.4× 84 0.7× 126 1.1× 42 1.0k
Gaole Dai 372 1.4× 222 1.0× 122 0.6× 67 0.5× 43 0.4× 35 1.0k
Xiaoguang Dai 386 1.4× 439 2.1× 281 1.4× 205 1.7× 42 0.4× 27 969
Man Wu 246 0.9× 279 1.3× 178 0.9× 278 2.3× 24 0.2× 47 960
Dipesh Khanal 303 1.1× 274 1.3× 200 1.0× 185 1.5× 200 1.7× 39 933
Qian Du 423 1.6× 275 1.3× 105 0.5× 109 0.9× 88 0.7× 43 1.0k

Countries citing papers authored by Jean‐Philippe Michel

Since Specialization
Citations

This map shows the geographic impact of Jean‐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 Jean‐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 Jean‐Philippe Michel more than expected).

Fields of papers citing papers by Jean‐Philippe Michel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean‐Philippe Michel

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Philippe Michel. A scholar is included among the top collaborators of Jean‐Philippe Michel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Philippe Michel. Jean‐Philippe Michel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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