N Pépin
Impact in
- Immunology top 5%
- Immune Response and Inflammation
- T-cell and Retrovirus Studies
- interferon and immune responses
- Cancer Research top 5%
- NF-κB Signaling Pathways
Papers in
-
- T-cell and Retrovirus Studies 4
- Immune Response and Inflammation 3
- interferon and immune responses 3
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- Animal Disease Management and Epidemiology 4
- Co-authors
- John Hiscott (7 shared papers)Judith Lacoste (7 shared papers)Anne Roulston (4 shared papers)I Kwan (3 shared papers)G. Bensi (2 shared papers)James J. Marois (2 shared papers)Mario D’Addario (2 shared papers)H. Nguyen (1 shared paper)
- Journals
- Journal of Virology (2 papers)Molecular and Cellular Biology (2 papers)Virology (1 paper)PubMed (2 papers)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
N Pépin
7 papers receiving 897 citations
N Pépin's Hit Papers
Peers
Comparison fields: 5 of 83
- Immunology 519
- Cancer Research 311
- Agronomy and Crop Science 95
- Neurology 37
- Molecular Biology 314
Countries citing papers authored by N Pépin
This map shows the geographic impact of N Pépin'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 N Pépin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Pépin more than expected).
Fields of papers citing papers by N Pépin
This network shows the impact of papers produced by N Pépin. 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 N Pépin. The network helps show where N Pépin may publish in the future.
Co-authors
The 13 scholars most cited alongside N Pépin, 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 | Characterization of a functional NF-kappa B site in the human interleukin 1 beta promoter: evidence for a positive autoregulatory loop. Hit paper breakdown → | 1993 | 521 |
| 2 | 1993 | 156 | |
| 3 | 1994 | 80 | |
| 4 | Overproduction of NFKB2 (lyt-10) and c-Rel: a mechanism for HTLV-I Tax-mediated trans-activation via the NF-kappa B signalling pathway. | 1994 | 58 |
| 5 | 1995 | 55 | |
| 6 | 1994 | 31 | |
| 7 | Interactions between HTLV-I Tax and NF-kappa B/Rel proteins in T cells. | 1994 | 9 |
About N Pépin
N Pépin is a scholar working on Immunology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Cancer Research and Molecular Biology, having authored 7 papers that have together received 910 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (4 papers), Animal Disease Management and Epidemiology (4 papers), Vector-Borne Animal Diseases (3 papers), NF-κB Signaling Pathways (3 papers), Immune Response and Inflammation (3 papers), interferon and immune responses (3 papers) and RNA regulation and disease (1 paper). The work is most often cited by research in Immunology (519 citations), Cancer Research (311 citations), Agronomy and Crop Science (95 citations), Neurology (37 citations) and Molecular Biology (314 citations). N Pépin has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include John Hiscott, Judith Lacoste, Anne Roulston, I Kwan, G. Bensi, James J. Marois, Mario D’Addario, H. Nguyen, Rongtuan Lin and Matthew J. Fenton. Their work appears in journals such as Journal of Virology, Molecular and Cellular Biology, Virology and PubMed.
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.