Thomas Whitington
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- CRISPR and Genetic Engineering
Papers in
-
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
- Kruppel-like factors research 1
- Genetics 4
- Genetic Associations and Epidemiology 2
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
- Co-authors
- Jussi Taipale (4 shared papers)Arttu Jolma (3 shared papers)Jian Yan (2 shared papers)Teemu Kivioja (2 shared papers)Martin Enge (2 shared papers)Gong‐Hong Wei (2 shared papers)Kazuhiro R. Nitta (1 shared paper)Esko Ukkonen (1 shared paper)
- Journals
- Cell (2 papers)Nature Genetics (1 paper)Human Pathology (1 paper)Human Molecular Genetics (1 paper)Science Signaling (1 paper)
- Partner nations
- SwedenFinlandUnited Kingdom
In The Last Decade
Thomas Whitington
8 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.2k
- Aging 17
- Cancer Research 146
- Genetics 241
- Immunology 80
Countries citing papers authored by Thomas Whitington
This map shows the geographic impact of Thomas Whitington'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 Whitington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Whitington more than expected).
Fields of papers citing papers by Thomas Whitington
This network shows the impact of papers produced by Thomas Whitington. 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 Whitington. The network helps show where Thomas Whitington may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Whitington, 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 | DNA-Binding Specificities of Human Transcription Factors Hit paper breakdown → | 2013 | 889 |
| 2 | 2013 | 268 | |
| 3 | 2016 | 81 | |
| 4 | 2013 | 48 | |
| 5 | 2015 | 34 | |
| 6 | 2017 | 22 | |
| 7 | 2011 | 9 | |
| 8 | 2009 | 2 |
About Thomas Whitington
Thomas Whitington is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Surgery and Pediatrics, Perinatology and Child Health, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (2 papers), Prostate Cancer Treatment and Research (2 papers), Genomics and Chromatin Dynamics (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), RNA Research and Splicing (2 papers), Plant Molecular Biology Research (1 paper), Urologic and reproductive health conditions (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Molecular Biology (1.2k citations), Aging (17 citations), Cancer Research (146 citations), Genetics (241 citations) and Immunology (80 citations). Thomas Whitington has collaborated with scholars based in Sweden, Finland and United Kingdom. Frequent co-authors include Jussi Taipale, Arttu Jolma, Jian Yan, Teemu Kivioja, Martin Enge, Gong‐Hong Wei, Kazuhiro R. Nitta, Esko Ukkonen, Timothy R. Hughes and Juan M. Vaquerizas. Their work appears in journals such as Cell, Nature Genetics, Human Pathology, Human Molecular Genetics and Science Signaling.
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.