Patrice Marchand

97 total papers · 1.6k total citations
48 papers, 744 citations indexed

About

Patrice Marchand is a scholar working on Organic Chemistry, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Patrice Marchand has authored 48 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Organic Chemistry, 15 papers in Molecular Biology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Patrice Marchand's work include Dendrimers and Hyperbranched Polymers (7 papers), Chemical Synthesis and Analysis (7 papers) and Medical Imaging Techniques and Applications (6 papers). Patrice Marchand is often cited by papers focused on Dendrimers and Hyperbranched Polymers (7 papers), Chemical Synthesis and Analysis (7 papers) and Medical Imaging Techniques and Applications (6 papers). Patrice Marchand collaborates with scholars based in France, United States and Mexico. Patrice Marchand's co-authors include Anne‐Marie Caminade, Jean‐Pierre Majoral, Laurent Griffe, Cédric‐Olivier Turrin, Rémy Poupot, Jean‐Jacques Fournié, Mary Poupot, Alexandrine Maraval, Olivier Rolland and Serge Masson and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Communications and The FASEB Journal.

In The Last Decade

Patrice Marchand

45 papers receiving 733 citations

Author Peers

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

Author						Papers	Cites
Patrice Marchand	374	329	316	82	43	48	744
Nabil El Brahmi	429 1.1×	422 1.3×	383 1.2×	85 1.0×	47 1.1×	50	879
Takafumi Nishiura	319 0.9×	98 0.3×	135 0.4×	89 1.1×	24 0.6×	36	656
Chia‐Hua Tsai	282 0.8×	235 0.7×	158 0.5×	145 1.8×	17 0.4×	29	774
Changcheng Zhu	105 0.3×	182 0.6×	194 0.6×	117 1.4×	99 2.3×	34	826
Kazunori Ishikawa	199 0.5×	65 0.2×	313 1.0×	162 2.0×	45 1.0×	43	781
Jasper Adamson	346 0.9×	59 0.2×	289 0.9×	216 2.6×	69 1.6×	58	869
Govindasamy Jayamurugan	307 0.8×	216 0.7×	189 0.6×	371 4.5×	43 1.0×	49	869
V.A. Kabanov	350 0.9×	164 0.5×	141 0.4×	97 1.2×	15 0.3×	45	680
Masanori Fujimoto	163 0.4×	76 0.2×	177 0.6×	108 1.3×	17 0.4×	39	746
Liliang Huang	443 1.2×	75 0.2×	195 0.6×	57 0.7×	60 1.4×	55	691

Countries citing papers authored by Patrice Marchand

Since Specialization

Citations

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

Fields of papers citing papers by Patrice Marchand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrice Marchand

This figure shows the co-authorship network connecting the top 25 collaborators of Patrice Marchand. A scholar is included among the top collaborators of Patrice Marchand 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 Patrice Marchand. Patrice Marchand 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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