Jean-Marc Frémy

38 total papers · 1.5k total citations
23 papers, 772 citations indexed

About

Jean-Marc Frémy is a scholar working on Environmental Chemistry, Molecular Biology and Plant Science. According to data from OpenAlex, Jean-Marc Frémy has authored 23 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Chemistry, 8 papers in Molecular Biology and 6 papers in Plant Science. Recurrent topics in Jean-Marc Frémy's work include Marine Toxins and Detection Methods (8 papers), Analytical chemistry methods development (4 papers) and Bacillus and Francisella bacterial research (3 papers). Jean-Marc Frémy is often cited by papers focused on Marine Toxins and Detection Methods (8 papers), Analytical chemistry methods development (4 papers) and Bacillus and Francisella bacterial research (3 papers). Jean-Marc Frémy collaborates with scholars based in France, United States and Canada. Jean-Marc Frémy's co-authors include Jean‐Charles Leblanc, Véronique Sirot, Sylviane Dragacci, Thierry Guérin, Laurent D. Noël, Sophie Krys, Isabelle P. Oswald, Luc Pussemier, Hamid Boudra and Diego Morgavi and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Chromatography A and International Journal of Food Microbiology.

In The Last Decade

Jean-Marc Frémy

23 papers receiving 737 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-Marc Frémy 370 168 155 146 145 23 772
Kevin Jørgensen 377 1.0× 114 0.7× 136 0.9× 125 0.9× 58 0.4× 30 852
Evelyn O’Brien 323 0.9× 183 1.1× 115 0.7× 43 0.3× 97 0.7× 12 660
R. Wittkowski 160 0.4× 63 0.4× 100 0.6× 220 1.5× 320 2.2× 38 808
Svetlana V. Malysheva 337 0.9× 83 0.5× 115 0.7× 88 0.6× 141 1.0× 41 685
Emiko Kitagawa 277 0.7× 45 0.3× 464 3.0× 143 1.0× 98 0.7× 36 853
Caroline Frizzell 498 1.3× 51 0.3× 108 0.7× 126 0.9× 175 1.2× 21 829
Alexandra H. Heussner 408 1.1× 175 1.0× 144 0.9× 63 0.4× 72 0.5× 18 767
Renata Jędrzejczak 501 1.4× 25 0.1× 81 0.5× 173 1.2× 190 1.3× 42 851
Fabiola Pizzo 219 0.6× 64 0.4× 112 0.7× 45 0.3× 117 0.8× 28 624
Walter F. Miles 125 0.3× 46 0.3× 150 1.0× 77 0.5× 269 1.9× 32 793

Countries citing papers authored by Jean-Marc Frémy

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Marc Frémy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean-Marc Frémy

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Marc Frémy. A scholar is included among the top collaborators of Jean-Marc Frémy 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-Marc Frémy. Jean-Marc Frémy 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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