Thomas Whitington

2.4k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

Thomas Whitington is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Thomas Whitington has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Thomas Whitington's work include Genetic Associations and Epidemiology (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Prostate Cancer Treatment and Research (2 papers). Thomas Whitington is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Prostate Cancer Treatment and Research (2 papers). Thomas Whitington collaborates with scholars based in Sweden, Finland and United Kingdom. Thomas Whitington's co-authors include Jussi Taipale, Arttu Jolma, Jian Yan, Martin Enge, Teemu Kivioja, Gong‐Hong Wei, Ekaterina Morgunova, Esko Ukkonen, Mikko Taipale and Kimmo Palin and has published in prestigious journals such as Cell, Nature Genetics and Blood.

In The Last Decade

Thomas Whitington

8 papers receiving 1.3k citations

Hit Papers

DNA-Binding Specificities of Human Transcription Factors 2013 2026 2017 2021 2013 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Whitington Sweden 7 1.2k 241 146 122 99 8 1.4k
Aditi K. Narayanan United States 5 1.2k 1.1× 237 1.0× 279 1.9× 95 0.8× 60 0.6× 6 1.4k
Federico Comoglio Switzerland 17 989 0.9× 170 0.7× 144 1.0× 101 0.8× 106 1.1× 27 1.3k
Anne Laugesen Denmark 8 1.1k 1.0× 161 0.7× 192 1.3× 70 0.6× 57 0.6× 9 1.3k
Inês de Santiago United Kingdom 13 1.3k 1.1× 188 0.8× 254 1.7× 218 1.8× 90 0.9× 16 1.5k
Hans-Martin Herz United States 15 1.9k 1.6× 244 1.0× 140 1.0× 127 1.0× 37 0.4× 15 2.0k
Gilad Landan United States 9 875 0.8× 209 0.9× 257 1.8× 107 0.9× 73 0.7× 12 1.1k
Constantinos Chronis United States 18 1.6k 1.4× 280 1.2× 243 1.7× 148 1.2× 42 0.4× 27 1.9k
Roman Alpatov United States 8 1.1k 1.0× 275 1.1× 116 0.8× 72 0.6× 33 0.3× 13 1.3k
Adnan Derti United States 16 1.1k 0.9× 117 0.5× 183 1.3× 97 0.8× 73 0.7× 20 1.3k
Andrea Scelfo Italy 15 1.2k 1.0× 181 0.8× 113 0.8× 137 1.1× 34 0.3× 18 1.4k

Countries citing papers authored by Thomas Whitington

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Thomas Whitington

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Whitington. A scholar is included among the top collaborators of Thomas Whitington based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Whitington. Thomas Whitington is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Seipel, Amanda H., Thomas Whitington, Brett Delahunt, et al.. (2017). Genetic profile of ductal adenocarcinoma of the prostate. Human Pathology. 69. 1–7. 22 indexed citations
2.
Whitington, Thomas, Ping Gao, Wei Song, et al.. (2016). Gene regulatory mechanisms underpinning prostate cancer susceptibility. Nature Genetics. 48(4). 387–397. 81 indexed citations
3.
Kristiansen, Wenche, Robert Karlsson, Trine B. Rounge, et al.. (2015). Two new loci and gene sets related to sex determination and cancer progression are associated with susceptibility to testicular germ cell tumor. Human Molecular Genetics. 24(14). 4138–4146. 34 indexed citations
4.
Yan, Jian, Martin Enge, Thomas Whitington, et al.. (2013). Transcription Factor Binding in Human Cells Occurs in Dense Clusters Formed around Cohesin Anchor Sites. Cell. 154(4). 801–813. 268 indexed citations
5.
Jolma, Arttu, Jian Yan, Thomas Whitington, et al.. (2013). DNA-Binding Specificities of Human Transcription Factors. Cell. 152(1-2). 327–339. 889 indexed citations breakdown →
6.
Sur, Inderpreet, Sari Tuupanen, Thomas Whitington, Lauri A. Aaltonen, & Jussi Taipale. (2013). Lessons from Functional Analysis of Genome-Wide Association Studies. Cancer Research. 73(14). 4180–4184. 48 indexed citations
7.
Whitington, Thomas, Arttu Jolma, & Jussi Taipale. (2011). Beyond the Balance of Activator and Repressor. Science Signaling. 4(176). pe29–pe29. 9 indexed citations
8.
Tallack, Michael R., Thomas Whitington, Brooke Gardiner, et al.. (2009). Klf1 Regulatory Networks in Primary Erythroid Cells.. Blood. 114(22). 1462–1462. 2 indexed citations

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.

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