Miguel Vidal
Impact in
- Molecular Biology top 0.5%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- RNA modifications and cancer
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Ubiquitin and proteasome pathways
- Developmental Neuroscience top 2%
Papers in
- Urology 7
- Hair Growth and Disorders 7
-
- Epigenetics and DNA Methylation 45
- Cancer-related gene regulation 25
- Genomics and Chromatin Dynamics 24
- Ubiquitin and proteasome pathways 8
- RNA modifications and cancer 7
- Pluripotent Stem Cells Research 6
- Co-authors
- Haruhiko KosekiArie P. OtteRichard S. JonesPaul TempstHengbin WangLiangjun WangHediye Erdjument‐BromageYi Zhang
- Journals
- Development (9 papers)Nature (5 papers)Genes & Development (5 papers)Proceedings of the National Academy of Sciences (4 papers)Mechanisms of Development (3 papers)
- Partner nations
- SpainJapanUnited Kingdom
In The Last Decade
Miguel Vidal
91 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 8.6k
- Developmental Neuroscience 297
- Genetics 2.0k
- Cancer Research 716
- Aging 79
Countries citing papers authored by Miguel Vidal
This map shows the geographic impact of Miguel Vidal'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 Miguel Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Vidal more than expected).
Fields of papers citing papers by Miguel Vidal
This network shows the impact of papers produced by Miguel Vidal. 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 Miguel Vidal. The network helps show where Miguel Vidal may publish in the future.
Co-authors
The 25 scholars most cited alongside Miguel Vidal, 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 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 20 | |
| 5 | 2018 | 13 | |
| 6 | 2017 | 1 | |
| 7 | 2016 | 27 | |
| 8 | 2014 | 52 | |
| 9 | 2014 | 86 | |
| 10 | 2013 | 96 | |
| 11 | 2012 | 107 | |
| 12 | 2012 | 43 | |
| 13 | Aggressive symbolic model identification in 13 year-old youths | 2009 | 5 |
| 14 | 2004 | 34 | |
| 15 | Polycomb Group Proteins Ring1A/B Link Ubiquitylation of Histone H2A to Heritable Gene Silencing and X Inactivation Hit paper breakdown → | 2004 | 728 |
| 16 | 2001 | 54 | |
| 17 | 1997 | 134 | |
| 18 | 1994 | 2 | |
| 19 | 1993 | 21 | |
| 20 | 1990 | 16 |
About Miguel Vidal
Miguel Vidal is a scholar working on Urology, Molecular Biology, Cell Biology, Developmental Neuroscience and Genetics, having authored 93 papers that have together received 9.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (45 papers), Cancer-related gene regulation (25 papers), Genomics and Chromatin Dynamics (24 papers), Skin and Cellular Biology Research (9 papers), Ubiquitin and proteasome pathways (8 papers), Hair Growth and Disorders (7 papers), RNA modifications and cancer (7 papers) and Pluripotent Stem Cells Research (6 papers). The work is most often cited by research in Molecular Biology (8.6k citations), Developmental Neuroscience (297 citations), Genetics (2.0k citations), Cancer Research (716 citations) and Aging (79 citations). Miguel Vidal has collaborated with scholars based in Spain, Japan and United Kingdom. Frequent co-authors include Haruhiko Koseki, Arie P. Otte, Richard S. Jones, Paul Tempst, Hengbin Wang, Liangjun Wang, Hediye Erdjument‐Bromage, Yi Zhang, Neil Brockdorff and Frank Grosveld. Their work appears in journals such as Development, Nature, Genes & Development, Proceedings of the National Academy of Sciences and Mechanisms of Development.
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.