Benoît Hennuy
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Microbiology top 10%
Papers in
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- NF-κB Signaling Pathways 2
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- Immune Cell Function and Interaction 3
- IL-33, ST2, and ILC Pathways 2
- Co-authors
- Alain Chariot (6 shared papers)Georges P. Hennen (7 shared papers)Marc Bruyninx (7 shared papers)Éric Reiter (6 shared papers)Jean Closset (6 shared papers)Vincent Bours (4 shared papers)Anne M. Cornet (5 shared papers)Jean‐Michel Foidart (2 shared papers)
- Journals
- Endocrinology (4 papers)Molecular and Cellular Biology (2 papers)The Prostate (2 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (2 papers)PLoS ONE (2 papers)
- Partner nations
- BelgiumFranceNetherlands
In The Last Decade
Benoît Hennuy
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Cancer Research 170
- Microbiology 53
- Reproductive Medicine 68
- Immunology and Allergy 48
- Immunology 167
Countries citing papers authored by Benoît Hennuy
This map shows the geographic impact of Benoît Hennuy'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 Benoît Hennuy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Hennuy more than expected).
Fields of papers citing papers by Benoît Hennuy
This network shows the impact of papers produced by Benoît Hennuy. 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 Benoît Hennuy. The network helps show where Benoît Hennuy may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît Hennuy, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 99 | |
| 2 | 2008 | 93 | |
| 3 | 2007 | 84 | |
| 4 | 1999 | 68 | |
| 5 | 2015 | 60 | |
| 6 | 2016 | 57 | |
| 7 | 2003 | 53 | |
| 8 | 2006 | 52 | |
| 9 | 2015 | 42 | |
| 10 | 2011 | 41 | |
| 11 | 1995 | 41 | |
| 12 | 2015 | 39 | |
| 13 | 2017 | 34 | |
| 14 | 2009 | 32 | |
| 15 | 2010 | 32 | |
| 16 | 1995 | 31 | |
| 17 | 1995 | 30 | |
| 18 | 2004 | 29 | |
| 19 | 2006 | 28 | |
| 20 | 2012 | 26 |
About Benoît Hennuy
Benoît Hennuy is a scholar working on Cancer Research, Immunology, Reproductive Medicine, Molecular Biology and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Immune Cell Function and Interaction (3 papers), NF-κB Signaling Pathways (2 papers), RNA modifications and cancer (2 papers), Sexual Differentiation and Disorders (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Hypothalamic control of reproductive hormones (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (170 citations), Microbiology (53 citations), Reproductive Medicine (68 citations), Immunology and Allergy (48 citations) and Immunology (167 citations). Benoît Hennuy has collaborated with scholars based in Belgium, France and Netherlands. Frequent co-authors include Alain Chariot, Georges P. Hennen, Marc Bruyninx, Éric Reiter, Jean Closset, Vincent Bours, Anne M. Cornet, Jean‐Michel Foidart, Pierre Wins and Agnès Noël. Their work appears in journals such as Endocrinology, Molecular and Cellular Biology, The Prostate, American Journal of Physiology-Lung Cellular and Molecular Physiology and PLoS ONE.
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.