Dominique Hétuin
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
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- RNA Interference and Gene Delivery 4
- PI3K/AKT/mTOR signaling in cancer 2
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- Immunotherapy and Immune Responses 7
- Immune Cell Function and Interaction 5
- Co-authors
- Bénédicte Mascrez (1 shared paper)Claude Cocquerelle (1 shared paper)Bernard Bailleul (1 shared paper)Bruno Quesnel (14 shared papers)Aurore Saudemont (6 shared papers)Jizhong Liu (3 shared papers)Abdelbasset Hamrouni (2 shared papers)Nathalie Jouy (5 shared papers)
- Journals
- British Journal of Haematology (2 papers)Leukemia (2 papers)Gene Therapy (2 papers)Blood (2 papers)Molecular Therapy (1 paper)
- Partner nations
- FranceUnited StatesPoland
In The Last Decade
Dominique Hétuin
16 papers receiving 2.1k citations
Dominique Hétuin's Hit Papers
Peers
Comparison fields: 5 of 92
- Cancer Research 913
- Immunology 685
- Oncology 714
- Hematology 273
- Molecular Biology 1.4k
Countries citing papers authored by Dominique Hétuin
This map shows the geographic impact of Dominique Hétuin'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 Dominique Hétuin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominique Hétuin more than expected).
Fields of papers citing papers by Dominique Hétuin
This network shows the impact of papers produced by Dominique Hétuin. 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 Dominique Hétuin. The network helps show where Dominique Hétuin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dominique Hétuin, 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 | Mis-splicing yields circular RNA molecules. Hit paper breakdown → | 1993 | 979 |
| 2 | 2007 | 496 | |
| 3 | 2010 | 133 | |
| 4 | 2014 | 107 | |
| 5 | 2004 | 107 | |
| 6 | 2000 | 52 | |
| 7 | 2002 | 41 | |
| 8 | 2011 | 40 | |
| 9 | 2000 | 36 | |
| 10 | 2007 | 35 | |
| 11 | 1999 | 34 | |
| 12 | 2008 | 33 | |
| 13 | 1996 | 22 | |
| 14 | 2013 | 20 | |
| 15 | 2003 | 16 | |
| 16 | 2005 | 9 |
About Dominique Hétuin
Dominique Hétuin is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Hematology, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (5 papers), RNA Interference and Gene Delivery (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Virus-based gene therapy research (3 papers), CAR-T cell therapy research (3 papers), Cancer-related Molecular Pathways (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Cancer Research (913 citations), Immunology (685 citations), Oncology (714 citations), Hematology (273 citations) and Molecular Biology (1.4k citations). Dominique Hétuin has collaborated with scholars based in France, United States and Poland. Frequent co-authors include Bénédicte Mascrez, Claude Cocquerelle, Bernard Bailleul, Bruno Quesnel, Aurore Saudemont, Jizhong Liu, Abdelbasset Hamrouni, Nathalie Jouy, Dariusz Wołowiec and Kazimierz Kuliczkowski. Their work appears in journals such as British Journal of Haematology, Leukemia, Gene Therapy, Blood and Molecular Therapy.
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.