Jean‐Marc Schwartz
- Molecular Biology top 5%
- Cell Biology top 2%
- Biomedical Engineering top 10%
- Plant Science top 10%
- Rheumatology top 5%
- Co-authors
- Günther GerischJose C. NacherGiles N. JohnsonMonika WestphalMinoru KanehisaRay Boot-HandfordJamie SoulTim Hardingham
- Topics
- Microbial Metabolic Engineering and Bioproduction (30 papers)Bioinformatics and Genomic Networks (29 papers)Gene Regulatory Network Analysis (15 papers)
- Journals
- Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United KingdomJapanGermany
In The Last Decade
Jean‐Marc Schwartz
105 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 168
- Molecular Biology 1.4k
- Cell Biology 672
- Biomedical Engineering 297
- Plant Science 229
- Rheumatology 200
Countries citing papers authored by Jean‐Marc Schwartz
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 18 | |
| 14 | 13 | |
| 15 | 17 | |
| 16 | 7 | |
| 17 | 100 | |
| 18 | 10 | |
| 19 | 14 | |
| 20 | 222 |
About Jean‐Marc Schwartz
Jean‐Marc Schwartz is a scholar working on Cell Biology, Molecular Biology and Computational Theory and Mathematics, having authored 110 papers that have together received 2.7k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (30 papers), Bioinformatics and Genomic Networks (29 papers) and Gene Regulatory Network Analysis (15 papers). The work is most often cited by research in Cell Biology (672 citations), Biophysics (159 citations) and Molecular Biology (1.4k citations). Jean‐Marc Schwartz has collaborated with scholars based in United Kingdom, Japan and Germany. Frequent co-authors include Günther Gerisch, Jose C. Nacher, Giles N. Johnson, Monika Westphal, Minoru Kanehisa, Ray Boot-Handford, Jamie Soul, Tim Hardingham, Sara Dunn and Sanjay Anand. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.
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.