Tom Whitington
Impact in
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- Hemoglobinopathies and Related Disorders
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Kruppel-like factors research
Papers in
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- Genomics and Chromatin Dynamics 4
- Kruppel-like factors research 1
- Epigenetics and DNA Methylation 1
- Gene expression and cancer classification 1
- RNA Research and Splicing 1
- Genetics 1
- Genetic Syndromes and Imprinting 1
- Hemoglobinopathies and Related Disorders 1
- Co-authors
- Timothy L. Bailey (5 shared papers)Andrew C. Perkins (2 shared papers)Martin C. Frith (1 shared paper)James Johnson (1 shared paper)Philip Machanick (1 shared paper)Mikael Bodén (1 shared paper)Elanor N. Wainwright (1 shared paper)Nicole Cloonan (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Genome Research (1 paper)European Urology (1 paper)BMC Bioinformatics (1 paper)Bioinformatics (1 paper)
- Partner nations
- AustraliaBelgiumUnited States
In The Last Decade
Tom Whitington
6 papers receiving 595 citations
Peers
Comparison fields: 5 of 66
- Genetics 65
- Molecular Biology 431
- Cancer Research 63
- Pulmonary and Respiratory Medicine 92
- Hematology 28
Countries citing papers authored by Tom Whitington
This map shows the geographic impact of Tom 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 Tom Whitington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Whitington more than expected).
Fields of papers citing papers by Tom Whitington
This network shows the impact of papers produced by Tom 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 Tom Whitington. The network helps show where Tom Whitington may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom 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 | 2010 | 178 | |
| 2 | 2011 | 98 | |
| 3 | 2017 | 97 | |
| 4 | 2010 | 87 | |
| 5 | 2011 | 85 | |
| 6 | 2008 | 58 |
About Tom Whitington
Tom Whitington is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Genetics and Plant Science, having authored 6 papers that have together received 603 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Kruppel-like factors research (1 paper), Epigenetics and DNA Methylation (1 paper), Prostate Cancer Treatment and Research (1 paper), Gene expression and cancer classification (1 paper), Genetic Syndromes and Imprinting (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Genetics (65 citations), Molecular Biology (431 citations), Cancer Research (63 citations), Pulmonary and Respiratory Medicine (92 citations) and Hematology (28 citations). Tom Whitington has collaborated with scholars based in Australia, Belgium and United States. Frequent co-authors include Timothy L. Bailey, Andrew C. Perkins, Martin C. Frith, James Johnson, Philip Machanick, Mikael Bodén, Elanor N. Wainwright, Nicole Cloonan, Michael R. Tallack and Wai Shan Yuen. Their work appears in journals such as Nucleic Acids Research, Genome Research, European Urology, BMC Bioinformatics and Bioinformatics.
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.