Martin Pelletier
- Immunology top 1%
- Molecular Biology top 10%
- Physiology top 5%
- Surgery top 10%
- Epidemiology top 10%
- Co-authors
- Denis GirardRichard M. SiegelAlessandra MichelettiMarco A. CassatellaMichael N. SackAriel C. BuluaRavikanth MaddipatiHeiyoung Park
- Topics
- Immune Response and Inflammation (18 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (12 papers)Immune Cell Function and Interaction (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Martin Pelletier
71 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Immunology 1.8k
- Molecular Biology 1.2k
- Physiology 447
- Surgery 334
- Epidemiology 319
Countries citing papers authored by Martin Pelletier
This map shows the geographic impact of Martin Pelletier'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 Martin Pelletier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Pelletier more than expected).
Fields of papers citing papers by Martin Pelletier
This network shows the impact of papers produced by Martin Pelletier. 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 Martin Pelletier. The network helps show where Martin Pelletier may publish in the future.
Co-authorship network of co-authors of Martin Pelletier
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Pelletier. A scholar is included among the top collaborators of Martin Pelletier 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 Martin Pelletier. Martin Pelletier 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 | 7 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 21 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 15 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 204 | |
| 13 | 41 | |
| 14 | Mitochondrial reactive oxygen species promote production of proinflammatory cytokines and are elevated in TNFR1-associated periodic syndrome (TRAPS)breakdown → | 695 |
| 15 | Evidence for a cross-talk between human neutrophils and Th17 cellsbreakdown → | 621 |
| 16 | 22 | |
| 17 | 15 | |
| 18 | 95 | |
| 19 | 74 | |
| 20 | 74 |
About Martin Pelletier
Martin Pelletier is a scholar working on Immunology, Health, Toxicology and Mutagenesis and Physiology, having authored 73 papers that have together received 3.6k indexed citations. Recurring topics across this work include Immune Response and Inflammation (18 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (12 papers) and Immune Cell Function and Interaction (10 papers). The work is most often cited by research in Immunology (1.8k citations), Immunology and Allergy (133 citations) and Biological Psychiatry (53 citations). Martin Pelletier has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Denis Girard, Richard M. Siegel, Alessandra Micheletti, Marco A. Cassatella, Michael N. Sack, Ariel C. Bulua, Ravikanth Maddipati, Heiyoung Park, Daniel L. Kastner and Anna Simon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation 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.