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
- RNA and protein synthesis mechanisms 1
- Epigenetics and DNA Methylation 1
- Genetics 4
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
- Genetic Associations and Epidemiology 2
- Co-authors
- Jussi Taipale (4 shared papers)Arttu Jolma (3 shared papers)Martin Enge (2 shared papers)Jian Yan (2 shared papers)Teemu Kivioja (2 shared papers)Gong‐Hong Wei (2 shared papers)Renaud Vincentelli (1 shared paper)Pasi Rastas (1 shared paper)
- Journals
- Cell (2 papers)Human Pathology (1 paper)Blood (1 paper)Nature Genetics (1 paper)Cancer Research (1 paper)
- Partner nations
- SwedenFinlandUnited Kingdom
In The Last Decade
Thomas Whitington
8 papers receiving 1.4k citations
Thomas Whitington's Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.1k
- Aging 17
- Cancer Research 132
- Genetics 225
- Immunology 75
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 | 909 |
| 2 | 2013 | 272 | |
| 3 | 2016 | 81 | |
| 4 | 2013 | 48 | |
| 5 | 2015 | 34 | |
| 6 | 2017 | 23 | |
| 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 and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Prostate Cancer Treatment and Research (2 papers), Genomics and Chromatin Dynamics (2 papers), Genetic Associations and Epidemiology (2 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper) and Urologic and reproductive health conditions (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Aging (17 citations), Cancer Research (132 citations), Genetics (225 citations) and Immunology (75 citations). Thomas Whitington has collaborated with scholars based in Sweden, Finland and United Kingdom. Frequent co-authors include Jussi Taipale, Arttu Jolma, Martin Enge, Jian Yan, Teemu Kivioja, Gong‐Hong Wei, Renaud Vincentelli, Pasi Rastas, Esko Ukkonen and Jarkko Toivonen. Their work appears in journals such as Cell, Human Pathology, Blood, Nature Genetics and Cancer 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.