Jean‐Louis Herrmann
- Epidemiology top 0.2%
- Infectious Diseases top 0.1%
- Small Animals top 0.05%
- Molecular Biology top 5%
- Immunology top 2%
- Co-authors
- Laurent KremerMatt D. JohansenPhilippe LagrangeAudrey BernutJean‐Louis GaillardOlivier NeyrollesAlbertus ViljoenMartin Rottman
- Topics
- Mycobacterium research and diagnosis (94 papers)Tuberculosis Research and Epidemiology (93 papers)Infectious Diseases and Mycology (29 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Jean‐Louis Herrmann
176 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Epidemiology 5.3k
- Infectious Diseases 4.5k
- Small Animals 1.6k
- Molecular Biology 1.5k
- Immunology 1.3k
Countries citing papers authored by Jean‐Louis Herrmann
This map shows the geographic impact of Jean‐Louis Herrmann'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‐Louis Herrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Louis Herrmann more than expected).
Fields of papers citing papers by Jean‐Louis Herrmann
This network shows the impact of papers produced by Jean‐Louis Herrmann. 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‐Louis Herrmann. The network helps show where Jean‐Louis Herrmann may publish in the future.
Co-authorship network of co-authors of Jean‐Louis Herrmann
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Louis Herrmann. A scholar is included among the top collaborators of Jean‐Louis Herrmann 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‐Louis Herrmann. Jean‐Louis Herrmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 23 | |
| 11 | Non-tuberculous mycobacteria and the rise of Mycobacterium abscessusbreakdown → | 498 |
| 12 | 29 | |
| 13 | 8 | |
| 14 | 75 | |
| 15 | 18 | |
| 16 | 38 | |
| 17 | 69 | |
| 18 | 125 | |
| 19 | 82 | |
| 20 | Growth inhibition of coryneform bacteria by a mixture of three natural products - Farnesol, glyceryl monolaurate, and phenoxyethanol: HGQ | 3 |
About Jean‐Louis Herrmann
Jean‐Louis Herrmann is a scholar working on Infectious Diseases, Microbiology and Molecular Medicine, having authored 184 papers that have together received 8.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (94 papers), Tuberculosis Research and Epidemiology (93 papers) and Infectious Diseases and Mycology (29 papers). The work is most often cited by research in Microbiology (193 citations), Infectious Diseases (4.5k citations) and Small Animals (1.6k citations). Jean‐Louis Herrmann has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Laurent Kremer, Matt D. Johansen, Philippe Lagrange, Audrey Bernut, Jean‐Louis Gaillard, Olivier Neyrolles, Albertus Viljoen, Martin Rottman, Roland Brosch and Brigitte Gicquel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.