Hervé Técher
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Oncology top 10%
- PARP inhibition in cancer therapy
- Cancer-related Molecular Pathways
Papers in
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- DNA Repair Mechanisms 10
- Genomics and Chromatin Dynamics 3
- CRISPR and Genetic Engineering 3
- Mitochondrial Function and Pathology 2
- Inflammasome and immune disorders 2
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- interferon and immune responses 5
- Co-authors
- Michelle Debatisse (6 shared papers)Stéphane Koundrioukoff (4 shared papers)Alain Nicolas (1 shared paper)Arun Mouli Kolinjivadi (3 shared papers)Anna De Antoni (2 shared papers)G. Baldi (2 shared papers)Vincenzo Costanzo (2 shared papers)Vincenzo Sannino (2 shared papers)
- Journals
- PLoS Genetics (2 papers)Molecular Cell (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)Cancers (1 paper)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Hervé Técher
13 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 48
- Molecular Biology 945
- Oncology 331
- Cell Biology 159
- Cancer Research 124
- Aging 8
Countries citing papers authored by Hervé Técher
This map shows the geographic impact of Hervé Técher'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 Hervé Técher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hervé Técher more than expected).
Fields of papers citing papers by Hervé Técher
This network shows the impact of papers produced by Hervé Técher. 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 Hervé Técher. The network helps show where Hervé Técher may publish in the future.
Co-authors
The 25 scholars most cited alongside Hervé Técher, 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 | 2017 | 297 | |
| 2 | 2017 | 197 | |
| 3 | 2017 | 129 | |
| 4 | 2013 | 105 | |
| 5 | 2013 | 95 | |
| 6 | 2013 | 62 | |
| 7 | 2016 | 60 | |
| 8 | 2016 | 42 | |
| 9 | 2021 | 25 | |
| 10 | 2024 | 14 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 0 |
About Hervé Técher
Hervé Técher is a scholar working on Molecular Biology, Immunology, Cell Biology, Epidemiology and Cancer Research, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), interferon and immune responses (5 papers), Microtubule and mitosis dynamics (3 papers), Genomics and Chromatin Dynamics (3 papers), CRISPR and Genetic Engineering (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Mitochondrial Function and Pathology (2 papers) and Inflammasome and immune disorders (2 papers). The work is most often cited by research in Molecular Biology (945 citations), Oncology (331 citations), Cell Biology (159 citations), Cancer Research (124 citations) and Aging (8 citations). Hervé Técher has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Michelle Debatisse, Stéphane Koundrioukoff, Alain Nicolas, Arun Mouli Kolinjivadi, Anna De Antoni, G. Baldi, Vincenzo Costanzo, Vincenzo Sannino, Therese Wilhelm and Olivier Brison. Their work appears in journals such as PLoS Genetics, Molecular Cell, Nature Communications, Cell Reports and Cancers.
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.