Jérôme Eeckhoute
Impact in
- Molecular Biology top 0.1%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- RNA modifications and cancer
- Cancer-related gene regulation
- CRISPR and Genetic Engineering
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Chromatin Dynamics 20
- Epigenetics and DNA Methylation 11
- RNA Research and Splicing 11
- FOXO transcription factor regulation 6
- Peroxisome Proliferator-Activated Receptors 6
- Metabolism, Diabetes, and Cancer 6
- Genetics 17
- Co-authors
- Myles BrownClifford A. MeyerX. Shirley LiuYong ZhangChad NusbaumDavid S. JohnsonWei LiB Bernstein
- Journals
- Molecular Endocrinology (4 papers)Nucleic Acids Research (4 papers)FEBS Letters (4 papers)Journal of Hepatology (3 papers)Genome Research (3 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Jérôme Eeckhoute
68 papers receiving 18.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 14.2k
- Cancer Research 2.4k
- Aging 240
- Genetics 3.6k
- Immunology 1.7k
Countries citing papers authored by Jérôme Eeckhoute
This map shows the geographic impact of Jérôme Eeckhoute'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 Jérôme Eeckhoute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Eeckhoute more than expected).
Fields of papers citing papers by Jérôme Eeckhoute
This network shows the impact of papers produced by Jérôme Eeckhoute. 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 Jérôme Eeckhoute. The network helps show where Jérôme Eeckhoute may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jérôme Eeckhoute, 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 | 2025 | 1 | |
| 2 | 2023 | 8 | |
| 3 | 2021 | 56 | |
| 4 | 2020 | 39 | |
| 5 | 2018 | 47 | |
| 6 | 2017 | 170 | |
| 7 | 2013 | 363 | |
| 8 | 2013 | 11 | |
| 9 | 2012 | 149 | |
| 10 | 2011 | 73 | |
| 11 | 2011 | 171 | |
| 12 | 2009 | 67 | |
| 13 | 2009 | 86 | |
| 14 | Model-based Analysis of ChIP-Seq (MACS) Hit paper breakdown → | 2008 | 11435 |
| 15 | 2007 | 274 | |
| 16 | 2006 | 226 | |
| 17 | Genome-wide analysis of estrogen receptor binding sites Hit paper breakdown → | 2006 | 1078 |
| 18 | 2004 | 55 | |
| 19 | 2003 | 15 | |
| 20 | 2002 | 15 |
About Jérôme Eeckhoute
Jérôme Eeckhoute is a scholar working on Molecular Biology, Genetics, Hepatology, Endocrine and Autonomic Systems and Immunology, having authored 68 papers that have together received 18.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (20 papers), Epigenetics and DNA Methylation (11 papers), RNA Research and Splicing (11 papers), Adipose Tissue and Metabolism (8 papers), Pancreatic function and diabetes (8 papers), FOXO transcription factor regulation (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Molecular Biology (14.2k citations), Cancer Research (2.4k citations), Aging (240 citations), Genetics (3.6k citations) and Immunology (1.7k citations). Jérôme Eeckhoute has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Myles Brown, Clifford A. Meyer, X. Shirley Liu, Yong Zhang, Chad Nusbaum, David S. Johnson, Wei Li, B Bernstein, Tao Liu and R Myers. Their work appears in journals such as Molecular Endocrinology, Nucleic Acids Research, FEBS Letters, Journal of Hepatology and Genome Research.
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.