Jean-Luc Bodmer
- Molecular Biology top 1%
- Immunology top 0.5%
- Cancer Research top 0.5%
- Oncology top 2%
- Epidemiology top 2%
- Co-authors
- Pascal SchneiderJürg TschoppMargot ThomeNils HollerKay HofmannKim BurnsLars E. FrenchChantal Mattmann
- Topics
- Cell death mechanisms and regulation (15 papers)NF-κB Signaling Pathways (11 papers)Immune Response and Inflammation (7 papers)
- Partner nations
- SwitzerlandUnited StatesAustralia
In The Last Decade
Jean-Luc Bodmer
31 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 6.0k
- Immunology 4.3k
- Cancer Research 2.0k
- Oncology 1.5k
- Epidemiology 1.1k
Countries citing papers authored by Jean-Luc Bodmer
This map shows the geographic impact of Jean-Luc Bodmer'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-Luc Bodmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Luc Bodmer more than expected).
Fields of papers citing papers by Jean-Luc Bodmer
This network shows the impact of papers produced by Jean-Luc Bodmer. 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-Luc Bodmer. The network helps show where Jean-Luc Bodmer may publish in the future.
Co-authorship network of co-authors of Jean-Luc Bodmer
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Luc Bodmer. A scholar is included among the top collaborators of Jean-Luc Bodmer 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-Luc Bodmer. Jean-Luc Bodmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 35 | |
| 4 | 4 | |
| 5 | 346 | |
| 6 | The molecular architecture of the TNF superfamilybreakdown → | 706 |
| 7 | 32 | |
| 8 | 41 | |
| 9 | 113 | |
| 10 | 41 | |
| 11 | TRAIL receptor-2 signals apoptosis through FADD and caspase-8breakdown → | 567 |
| 12 | 128 | |
| 13 | 40 | |
| 14 | 431 | |
| 15 | 275 | |
| 16 | MyD88, an Adapter Protein Involved in Interleukin-1 Signalingbreakdown → | 532 |
| 17 | TRAIL Receptors 1 (DR4) and 2 (DR5) Signal FADD-Dependent Apoptosis and Activate NF-κBbreakdown → | 605 |
| 18 | Inhibition of death receptor signals by cellular FLIPbreakdown → | 2123 |
| 19 | 173 | |
| 20 | 63 |
About Jean-Luc Bodmer
Jean-Luc Bodmer is a scholar working on Immunology, Cancer Research and Immunology and Allergy, having authored 31 papers that have together received 8.7k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (15 papers), NF-κB Signaling Pathways (11 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Immunology (4.3k citations), Cancer Research (2.0k citations) and Molecular Biology (6.0k citations). Jean-Luc Bodmer has collaborated with scholars based in Switzerland, United States and Australia. Frequent co-authors include Pascal Schneider, Jürg Tschopp, Margot Thome, Nils Holler, Kay Hofmann, Kim Burns, Lars E. French, Chantal Mattmann, Michael Schröter and Michael Hahne. Their work appears in journals such as Nature, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.