Thomas Strub
Impact in
- Cell Biology top 10%
- melanin and skin pigmentation
-
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Melanoma and MAPK Pathways
- RNA regulation and disease
- Histone Deacetylase Inhibitors Research
Papers in
-
- Genomics and Chromatin Dynamics 5
- Epigenetics and DNA Methylation 4
- Protein Degradation and Inhibitors 3
- Retinal Development and Disorders 2
- RNA regulation and disease 2
-
- melanin and skin pigmentation 3
- Co-authors
- Corine Bertolotto (7 shared papers)Robert Ballotti (7 shared papers)Céline Keime (3 shared papers)Irwin Davidson (3 shared papers)Stéphanie Le Gras (2 shared papers)Dominique Kobi (1 shared paper)Serena Giuliano (1 shared paper)Caroline Bonet (1 shared paper)
- Journals
- Theranostics (2 papers)Molecular Cell (1 paper)Nature Communications (1 paper)Cancer Research (1 paper)PLoS Genetics (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Thomas Strub
17 papers receiving 794 citations
Peers
Comparison fields: 5 of 88
- Cell Biology 190
- Molecular Biology 502
- Geriatrics and Gerontology 20
- Dermatology 50
- Cancer Research 68
Countries citing papers authored by Thomas Strub
This map shows the geographic impact of Thomas Strub'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 Thomas Strub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Strub more than expected).
Fields of papers citing papers by Thomas Strub
This network shows the impact of papers produced by Thomas Strub. 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 Thomas Strub. The network helps show where Thomas Strub may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Strub, 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 | 2011 | 183 | |
| 2 | 2015 | 148 | |
| 3 | 2015 | 112 | |
| 4 | 2014 | 85 | |
| 5 | 2018 | 66 | |
| 6 | 2022 | 66 | |
| 7 | 2020 | 52 | |
| 8 | 2015 | 34 | |
| 9 | 2021 | 16 | |
| 10 | 2020 | 13 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 4 | |
| 13 | 2020 | 2 | |
| 14 | 2021 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2016 | 0 |
About Thomas Strub
Thomas Strub is a scholar working on Molecular Biology, Cell Biology, Ophthalmology, Atomic and Molecular Physics, and Optics and Computational Mechanics, having authored 18 papers that have together received 798 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers), Protein Degradation and Inhibitors (3 papers), melanin and skin pigmentation (3 papers), Ocular Oncology and Treatments (3 papers), Retinal Development and Disorders (2 papers), Advanced Numerical Methods in Computational Mathematics (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Cell Biology (190 citations), Molecular Biology (502 citations), Geriatrics and Gerontology (20 citations), Dermatology (50 citations) and Cancer Research (68 citations). Thomas Strub has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Corine Bertolotto, Robert Ballotti, Céline Keime, Irwin Davidson, Stéphanie Le Gras, Dominique Kobi, Serena Giuliano, Caroline Bonet, Tao Ye and Mireille Cormont. Their work appears in journals such as Theranostics, Molecular Cell, Nature Communications, Cancer Research and PLoS Genetics.
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.