Xavier Jacq
Impact in
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
- Oncology 11
- Cancer-related Molecular Pathways 9
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- Ubiquitin and proteasome pathways 13
- Genomics and Chromatin Dynamics 6
- DNA Repair Mechanisms 4
- RNA modifications and cancer 4
- RNA Research and Splicing 4
- Protein Degradation and Inhibitors 3
- Co-authors
- Stephen P. JacksonNiall M.B. MartinJeanine A. HarriganLàszlò ToraIrwin DavidsonPierre ChambonYan ZhuYves Lutz
- Journals
- Molecular Cell (2 papers)The EMBO Journal (2 papers)Cancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)Scientific Reports (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Xavier Jacq
23 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 2.5k
- Oncology 847
- Cancer Research 292
- Genetics 414
- Cell Biology 197
Countries citing papers authored by Xavier Jacq
This map shows the geographic impact of Xavier Jacq'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 Xavier Jacq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Jacq more than expected).
Fields of papers citing papers by Xavier Jacq
This network shows the impact of papers produced by Xavier Jacq. 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 Xavier Jacq. The network helps show where Xavier Jacq may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xavier Jacq, 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 | 2024 | 9 | |
| 2 | 2024 | 0 | |
| 3 | Deubiquitylating enzymes and drug discovery: emerging opportunities Hit paper breakdown → | 2017 | 657 |
| 4 | 2016 | 2 | |
| 5 | 2016 | 5 | |
| 6 | 2016 | 27 | |
| 7 | 2015 | 1 | |
| 8 | 2015 | 1 | |
| 9 | 2013 | 134 | |
| 10 | 2013 | 73 | |
| 11 | 2013 | 37 | |
| 12 | 2010 | 97 | |
| 13 | 2009 | 275 | |
| 14 | 2009 | 170 | |
| 15 | 2007 | 143 | |
| 16 | 2004 | 244 | |
| 17 | 2003 | 51 | |
| 18 | 2001 | 5 | |
| 19 | 1998 | 213 | |
| 20 | 1995 | 6 |
About Xavier Jacq
Xavier Jacq is a scholar working on Oncology, Molecular Biology, Developmental Neuroscience, Cancer Research and Cell Biology, having authored 25 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (13 papers), Cancer-related Molecular Pathways (9 papers), Genomics and Chromatin Dynamics (6 papers), DNA Repair Mechanisms (4 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (4 papers), Protein Degradation and Inhibitors (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Oncology (847 citations), Cancer Research (292 citations), Genetics (414 citations) and Cell Biology (197 citations). Xavier Jacq has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Stephen P. Jackson, Niall M.B. Martin, Jeanine A. Harrigan, Làszlò Tora, Irwin Davidson, Pierre Chambon, Yan Zhu, Yves Lutz, Christel Brou and Elżbieta Wieczorek. Their work appears in journals such as Molecular Cell, The EMBO Journal, Cancer Research, Molecular Cancer Therapeutics and Scientific Reports.
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.