Etienne Danis

2.1k citations
40 papers · 1.4k indexed · h-index 18

Impact in

    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer

Papers in

    • Genomics and Chromatin Dynamics 10
    • Protein Degradation and Inhibitors 8
    • Chromatin Remodeling and Cancer 6
    • Epigenetics and DNA Methylation 5
    • DNA Repair Mechanisms 4
    • CRISPR and Genetic Engineering 3

Etienne Danis

39 papers receiving 1.4k citations

Peers

Etienne Danis
Comparison fields: 5 of 82
  • Cancer Research 232
  • Molecular Biology 1.0k
  • Cell Biology 209
  • Immunology and Allergy 74
  • Oncology 323
Replace Zeqi Sheng with:
Zeqi Sheng United States
Peter J. Hurlin United States
Wouter Korver United States
James A. Grunkemeyer United States
Takako Ooshio Japan
Jan Saras Sweden
Martina Konantz Switzerland
Gerard Merkx Netherlands
Rui Fang Qiao United States
Hana M. Odeh United States
Etienne Danis relative to Zeqi Sheng United States Zeqi Sheng's profile →
Citations per field
00.5×10×15×20×23.6×
Zeqi Sheng · 1×
Citations per year

Countries citing papers authored by Etienne Danis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Etienne Danis Line = papers co-authored together Etienne Danis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20251
4 20257
5 20253
6 20241
7 20241
8 202310
9 20238
10 202226
11 202142
12 202125
13 202029
14 202024
15 201519
16 201236
17 2011395
18 200855
19 2005150
20 200486

About Etienne Danis

Etienne Danis is a scholar working on Structural Biology, Molecular Biology, Immunology, Cancer Research and Oncology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), Protein Degradation and Inhibitors (8 papers), Chromatin Remodeling and Cancer (6 papers), Epigenetics and DNA Methylation (5 papers), DNA Repair Mechanisms (4 papers), Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Cancer Research (232 citations), Molecular Biology (1.0k citations), Cell Biology (209 citations), Immunology and Allergy (74 citations) and Oncology (323 citations). Etienne Danis has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Marcel Méchali, Andrew Chang, Lucila Ohno‐Machado, Jihoon Kim, Jing Yang, Mark A. Eckert, Thinzar M. Lwin, Domenico Maiorano, Jean-Marc Lemaı̂tre and Yegor Vassetzky. Their work appears in journals such as Cell Reports, Molecular Cancer Research, Neuro-Oncology, Blood and Nature Communications.

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.

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