Etienne Danis
Impact in
- Cancer Research top 10%
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in
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- Genomics and Chromatin Dynamics 9
- Protein Degradation and Inhibitors 6
- Chromatin Remodeling and Cancer 6
- DNA Repair Mechanisms 4
- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 4
- Oncology 10
- CAR-T cell therapy research 4
- Co-authors
- Marcel Méchali (5 shared papers)Mark A. Eckert (2 shared papers)Jing Yang (2 shared papers)Lucila Ohno‐Machado (2 shared papers)Jihoon Kim (2 shared papers)Thinzar M. Lwin (2 shared papers)Domenico Maiorano (2 shared papers)Jean-Marc Lemaı̂tre (2 shared papers)
- Journals
- Cell Reports (5 papers)Nature Communications (3 papers)Neuro-Oncology (3 papers)Molecular Cancer Research (3 papers)Cell (2 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Etienne Danis
40 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 80
- Cancer Research 205
- Molecular Biology 961
- Immunology and Allergy 70
- Cell Biology 200
- Oncology 292
Countries citing papers authored by Etienne Danis
This map shows the geographic impact of Etienne Danis'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 Etienne Danis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Etienne Danis more than expected).
Fields of papers citing papers by Etienne Danis
This network shows the impact of papers produced by Etienne Danis. 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 Etienne Danis. The network helps show where Etienne Danis may publish in the future.
Co-authors
The 25 scholars most cited alongside Etienne Danis, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 395 | |
| 2 | 2005 | 150 | |
| 3 | 2004 | 125 | |
| 4 | 2005 | 111 | |
| 5 | 2004 | 87 | |
| 6 | 2008 | 55 | |
| 7 | 2016 | 46 | |
| 8 | 2018 | 44 | |
| 9 | 2021 | 44 | |
| 10 | 2012 | 37 | |
| 11 | 2019 | 33 | |
| 12 | 2008 | 32 | |
| 13 | 2020 | 29 | |
| 14 | 2022 | 27 | |
| 15 | 2021 | 26 | |
| 16 | 2020 | 26 | |
| 17 | 2024 | 21 | |
| 18 | 2015 | 19 | |
| 19 | 2019 | 18 | |
| 20 | 2021 | 17 |
About Etienne Danis
Etienne Danis is a scholar working on Molecular Biology, Oncology, Immunology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (9 papers), Protein Degradation and Inhibitors (6 papers), Chromatin Remodeling and Cancer (6 papers), DNA Repair Mechanisms (4 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (4 papers), RNA Research and Splicing (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (205 citations), Molecular Biology (961 citations), Immunology and Allergy (70 citations), Cell Biology (200 citations) and Oncology (292 citations). Etienne Danis has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Marcel Méchali, Mark A. Eckert, Jing Yang, Lucila Ohno‐Machado, Jihoon Kim, Thinzar M. Lwin, Domenico Maiorano, Jean-Marc Lemaı̂tre, Philippe Pasero and Yegor Vassetzky. Their work appears in journals such as Cell Reports, Nature Communications, Neuro-Oncology, Molecular Cancer Research and Cell.
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.