Jean‐Marc Schwartz

186 total papers · 3.8k total citations
108 papers, 2.7k citations indexed

About

Jean‐Marc Schwartz is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Jean‐Marc Schwartz has authored 108 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 20 papers in Cell Biology and 12 papers in Oncology. Recurrent topics in Jean‐Marc Schwartz's work include Microbial Metabolic Engineering and Bioproduction (30 papers), Bioinformatics and Genomic Networks (29 papers) and Gene Regulatory Network Analysis (15 papers). Jean‐Marc Schwartz is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (30 papers), Bioinformatics and Genomic Networks (29 papers) and Gene Regulatory Network Analysis (15 papers). Jean‐Marc Schwartz collaborates with scholars based in United Kingdom, Japan and Germany. Jean‐Marc Schwartz's co-authors include Günther Gerisch, Jose C. Nacher, Giles N. Johnson, Monika Westphal, Minoru Kanehisa, Jamie Soul, Ray Boot-Handford, Tim Hardingham, Sara Dunn and Sanjay Anand and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Jean‐Marc Schwartz

105 papers receiving 2.7k 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 Schwartz 1.4k 673 297 228 200 108 2.7k
Chikara Sato 2.5k 1.8× 932 1.4× 329 1.1× 261 1.1× 90 0.5× 162 4.3k
Peter McPhie 2.5k 1.8× 368 0.5× 164 0.6× 216 0.9× 174 0.9× 114 4.0k
Lifang Hu 995 0.7× 249 0.4× 194 0.7× 201 0.9× 146 0.7× 67 2.0k
Xiaobo Wang 1.7k 1.3× 1.1k 1.6× 449 1.5× 195 0.9× 60 0.3× 151 4.4k
Akiko Fujita 2.1k 1.5× 1.9k 2.8× 173 0.6× 149 0.7× 40 0.2× 80 3.8k
Hiroshi Maruta 2.5k 1.8× 1.6k 2.4× 155 0.5× 141 0.6× 59 0.3× 145 4.4k
Jonathan S. Marchant 2.0k 1.4× 653 1.0× 94 0.3× 348 1.5× 209 1.0× 138 4.8k
Jonathan S. Minden 2.6k 1.9× 631 0.9× 191 0.6× 260 1.1× 38 0.2× 59 3.6k
Sabine Fischer 1.3k 0.9× 212 0.3× 431 1.5× 562 2.5× 143 0.7× 159 4.1k
Rachel J. Errington 1.9k 1.4× 228 0.3× 284 1.0× 114 0.5× 78 0.4× 109 2.8k

Countries citing papers authored by Jean‐Marc Schwartz

Since Specialization
Citations

This map shows the geographic impact of Jean‐Marc Schwartz'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 Schwartz 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 Schwartz more than expected).

Fields of papers citing papers by Jean‐Marc Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean‐Marc Schwartz

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