Pascal Leplatois
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Toxin Mechanisms and Immunotoxins
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Immunology and Allergy top 10%
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 2
- Fungal and yeast genetics research 2
- Receptor Mechanisms and Signaling 2
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- Neuropeptides and Animal Physiology 2
- Co-authors
- Pascual Ferrara (4 shared papers)Daniel Caput (4 shared papers)Mourad Kaghad (2 shared papers)David Shire (4 shared papers)Pierre Casellas (1 shared paper)Jean‐Marie Derocq (1 shared paper)G. Loison (2 shared papers)Jan H. Lupker (2 shared papers)
In The Last Decade
Pascal Leplatois
11 papers receiving 935 citations
Pascal Leplatois's Hit Papers
Peers
Comparison fields: 5 of 89
- Immunology 474
- Immunology and Allergy 69
- Dermatology 46
- Physiology 124
- Oncology 108
Countries citing papers authored by Pascal Leplatois
This map shows the geographic impact of Pascal Leplatois'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 Pascal Leplatois with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Leplatois more than expected).
Fields of papers citing papers by Pascal Leplatois
This network shows the impact of papers produced by Pascal Leplatois. 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 Pascal Leplatois. The network helps show where Pascal Leplatois may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Leplatois, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | lnterleukin-13 is a new human lymphokine regulating inflammatory and immune responses Hit paper breakdown → | 1993 | 758 |
| 2 | 1996 | 62 | |
| 3 | 1992 | 44 | |
| 4 | 1991 | 22 | |
| 5 | 1990 | 20 | |
| 6 | 1983 | 17 | |
| 7 | 1994 | 12 | |
| 8 | 2001 | 12 | |
| 9 | 1993 | 9 | |
| 10 | 2011 | 4 | |
| 11 | 1991 | 4 |
About Pascal Leplatois
Pascal Leplatois is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Cell Biology and Genetics, having authored 11 papers that have together received 964 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Fungal and yeast genetics research (2 papers), Receptor Mechanisms and Signaling (2 papers), Transgenic Plants and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Neuropeptides and Animal Physiology (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Immunology (474 citations), Immunology and Allergy (69 citations), Dermatology (46 citations), Physiology (124 citations) and Oncology (108 citations). Pascal Leplatois has collaborated with scholars based in France and Canada. Frequent co-authors include Pascual Ferrara, Daniel Caput, Mourad Kaghad, David Shire, Pierre Casellas, Jean‐Marie Derocq, G. Loison, Jan H. Lupker, Pascale Chalon and Brigitte Miloux. Their work appears in journals such as Gene, Biochimie, Molecular Informatics, Journal of Cell Science and Cytokine.
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.