Etienne P. Danis
Impact in
- Cancer Research top 10%
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Protein Degradation and Inhibitors
- RNA modifications and cancer
Papers in
-
- Genomics and Chromatin Dynamics 10
- Protein Degradation and Inhibitors 7
- Chromatin Remodeling and Cancer 6
- Epigenetics and DNA Methylation 5
- DNA Repair Mechanisms 4
- Genetics 6
- Glioma Diagnosis and Treatment 6
- Co-authors
- Marcel Méchali (5 shared papers)Lucila Ohno‐Machado (1 shared paper)Thinzar M. Lwin (1 shared paper)Jing Lan Yang (1 shared paper)Jihoon Kim (1 shared paper)Mark A. Eckert (1 shared paper)Domenico Maiorano (2 shared papers)Jean-Marc Lemaı̂tre (2 shared papers)
- Journals
- Cell Reports (6 papers)Neuro-Oncology (3 papers)Molecular Cancer Research (3 papers)Nature Communications (3 papers)Cell (2 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Etienne P. Danis
46 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 81
- Cancer Research 218
- Molecular Biology 1.1k
- Oncology 318
- Cell Biology 201
- Immunology and Allergy 69
Countries citing papers authored by Etienne P. Danis
This map shows the geographic impact of Etienne P. 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 P. 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 P. Danis more than expected).
Fields of papers citing papers by Etienne P. Danis
This network shows the impact of papers produced by Etienne P. 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 P. Danis. The network helps show where Etienne P. Danis may publish in the future.
Co-authors
The 25 scholars most cited alongside Etienne P. 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 402 | |
| 2 | 2005 | 149 | |
| 3 | 2004 | 118 | |
| 4 | 2005 | 118 | |
| 5 | 2004 | 87 | |
| 6 | 2008 | 58 | |
| 7 | 2016 | 52 | |
| 8 | 2018 | 51 | |
| 9 | 2020 | 50 | |
| 10 | 2021 | 50 | |
| 11 | 2020 | 35 | |
| 12 | 2012 | 34 | |
| 13 | 2019 | 33 | |
| 14 | 2019 | 31 | |
| 15 | 2021 | 31 | |
| 16 | 2008 | 30 | |
| 17 | 2022 | 29 | |
| 18 | 2020 | 26 | |
| 19 | 2024 | 25 | |
| 20 | 2019 | 20 |
About Etienne P. Danis
Etienne P. Danis is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Hematology, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), Protein Degradation and Inhibitors (7 papers), Glioma Diagnosis and Treatment (6 papers), Chromatin Remodeling and Cancer (6 papers), Epigenetics and DNA Methylation (5 papers), Sarcoma Diagnosis and Treatment (4 papers), Acute Myeloid Leukemia Research (4 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Cancer Research (218 citations), Molecular Biology (1.1k citations), Oncology (318 citations), Cell Biology (201 citations) and Immunology and Allergy (69 citations). Etienne P. Danis has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Marcel Méchali, Lucila Ohno‐Machado, Thinzar M. Lwin, Jing Lan Yang, Jihoon Kim, Mark A. Eckert, Domenico Maiorano, Jean-Marc Lemaı̂tre, Yegor S Vassetzky and Philippe Pasero. Their work appears in journals such as Cell Reports, Neuro-Oncology, Molecular Cancer Research, Nature Communications 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.