Germain Trugnan
- Molecular Biology top 1%
- Infectious Diseases top 0.5%
- Genetics top 1%
- Physiology top 2%
- Surgery top 5%
- Co-authors
- Ginette ThomasPhilippe SeksikHarry SokolBénédicte PigneurChantal BridonneauCorinne GrangetteNadia VasquezPhilippe Marteau
- Topics
- Viral gastroenteritis research and epidemiology (20 papers)Glycosylation and Glycoproteins Research (15 papers)Lipid Membrane Structure and Behavior (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- FranceUnited KingdomMorocco
In The Last Decade
Germain Trugnan
126 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 5.5k
- Infectious Diseases 1.8k
- Genetics 1.6k
- Physiology 1.1k
- Surgery 982
Countries citing papers authored by Germain Trugnan
This map shows the geographic impact of Germain Trugnan'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 Germain Trugnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germain Trugnan more than expected).
Fields of papers citing papers by Germain Trugnan
This network shows the impact of papers produced by Germain Trugnan. 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 Germain Trugnan. The network helps show where Germain Trugnan may publish in the future.
Co-authorship network of co-authors of Germain Trugnan
This figure shows the co-authorship network connecting the top 25 collaborators of Germain Trugnan. A scholar is included among the top collaborators of Germain Trugnan 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 Germain Trugnan. Germain Trugnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 3 | |
| 3 | 234 | |
| 4 | 37 | |
| 5 | 14 | |
| 6 | 71 | |
| 7 | Faecalibacterium prausnitzii is an anti-inflammatory commensal bacterium identified by gut microbiota analysis of Crohn disease patientsbreakdown → | 3264 |
| 8 | 28 | |
| 9 | 17 | |
| 10 | 10 | |
| 11 | 23 | |
| 12 | [Mechanisms of sorting and transport of proteins to tw membrane domains of epithelial cells]. | 1 |
| 13 | 63 | |
| 14 | 19 | |
| 15 | 49 | |
| 16 | 32 | |
| 17 | 2 | |
| 18 | 18 | |
| 19 | 42 | |
| 20 | La Faim dans le monde | 7 |
About Germain Trugnan
Germain Trugnan is a scholar working on Infectious Diseases, Nutrition and Dietetics and Molecular Biology, having authored 126 papers that have together received 8.8k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (20 papers), Glycosylation and Glycoproteins Research (15 papers) and Lipid Membrane Structure and Behavior (13 papers). The work is most often cited by research in Gastroenterology (630 citations), Infectious Diseases (1.8k citations) and Molecular Biology (5.5k citations). Germain Trugnan has collaborated with scholars based in France, United Kingdom and Morocco. Frequent co-authors include Ginette Thomas, Philippe Seksik, Harry Sokol, Bénédicte Pigneur, Chantal Bridonneau, Corinne Grangette, Nadia Vasquez, Philippe Marteau, Jean‐Pierre Furet and Philippe Pochart. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.