Benjamin Péant
Impact in
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- NF-κB Signaling Pathways
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- Cancer Cells and Metastasis
Papers in ⓘ
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- NF-κB Signaling Pathways 6
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- Cell Image Analysis Techniques 3
- Co-authors
- Anne‐Marie Mes‐Masson (27 shared papers)Fred Saad (21 shared papers)Cécile Le Page (9 shared papers)Thomas Gervais (7 shared papers)Gisèle LaPointe (2 shared papers)Diane Provencher (5 shared papers)Nathalie Delvoye (7 shared papers)Jean‐Simon Diallo (6 shared papers)
- Journals
- Cancers (8 papers)The Prostate (4 papers)PLoS ONE (3 papers)Lab on a Chip (2 papers)British Journal of Cancer (1 paper)
- Partner nations
- CanadaFranceUnited Kingdom
In The Last Decade
Benjamin Péant
29 papers receiving 670 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 149
- Oncology 186
- Food Science 88
- Biomedical Engineering 200
- Biophysics 24
Countries citing papers authored by Benjamin Péant
This map shows the geographic impact of Benjamin Péant'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 Benjamin Péant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Péant more than expected).
Fields of papers citing papers by Benjamin Péant
This network shows the impact of papers produced by Benjamin Péant. 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 Benjamin Péant. The network helps show where Benjamin Péant may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Péant, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 147 | |
| 2 | 2005 | 99 | |
| 3 | 2010 | 48 | |
| 4 | 2010 | 33 | |
| 5 | 2009 | 32 | |
| 6 | 2007 | 32 | |
| 7 | 2007 | 24 | |
| 8 | 2020 | 21 | |
| 9 | 2020 | 20 | |
| 10 | 2021 | 19 | |
| 11 | 2018 | 18 | |
| 12 | 2019 | 18 | |
| 13 | 2006 | 17 | |
| 14 | 2015 | 16 | |
| 15 | 2008 | 16 | |
| 16 | 2007 | 16 | |
| 17 | 2016 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2011 | 13 | |
| 20 | 2022 | 11 |
About Benjamin Péant
Benjamin Péant is a scholar working on Cancer Research, Biophysics, Oncology, Biotechnology and Immunology, having authored 30 papers that have together received 680 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (8 papers), NF-κB Signaling Pathways (6 papers), Cancer Cells and Metastasis (5 papers), Microfluidic and Bio-sensing Technologies (4 papers), Cell Image Analysis Techniques (3 papers), PARP inhibition in cancer therapy (3 papers), interferon and immune responses (3 papers) and Prostate Cancer Treatment and Research (3 papers). The work is most often cited by research in Cancer Research (149 citations), Oncology (186 citations), Food Science (88 citations), Biomedical Engineering (200 citations) and Biophysics (24 citations). Benjamin Péant has collaborated with scholars based in Canada, France and United Kingdom. Frequent co-authors include Anne‐Marie Mes‐Masson, Fred Saad, Cécile Le Page, Thomas Gervais, Gisèle LaPointe, Diane Provencher, Nathalie Delvoye, Jean‐Simon Diallo, Christophe Gilbert and Pierre Ward. Their work appears in journals such as Cancers, The Prostate, PLoS ONE, Lab on a Chip and British Journal of Cancer.
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.