Thomas Westerling
Impact in
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- Circadian rhythm and melatonin
- Cancer Research top 10%
Papers in
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- Microtubule and mitosis dynamics 3
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- AI in cancer detection 7
- Co-authors
- Myles Brown (6 shared papers)Tomi P. Mäkelä (5 shared papers)Shannon Terrell Bailey (2 shared papers)Emilia Kuuluvainen (1 shared paper)Kiran Padmanabhan (1 shared paper)Charles J. Weitz (1 shared paper)María S. Robles (1 shared paper)Hyunjin Shin (1 shared paper)
- Journals
- Toxicologic Pathology (3 papers)The EMBO Journal (2 papers)eLife (2 papers)Proceedings of the National Academy of Sciences (2 papers)JCI Insight (1 paper)
- Partner nations
- United StatesFinlandCanada
In The Last Decade
Thomas Westerling
25 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 73
- Endocrine and Autonomic Systems 109
- Cancer Research 142
- Oncology 235
- Molecular Biology 516
- Health Informatics 14
Countries citing papers authored by Thomas Westerling
This map shows the geographic impact of Thomas Westerling'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 Westerling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Westerling more than expected).
Fields of papers citing papers by Thomas Westerling
This network shows the impact of papers produced by Thomas Westerling. 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 Westerling. The network helps show where Thomas Westerling may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Westerling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 180 | |
| 2 | 2012 | 135 | |
| 3 | 2012 | 128 | |
| 4 | 2007 | 114 | |
| 5 | 2017 | 114 | |
| 6 | 2017 | 102 | |
| 7 | 2014 | 78 | |
| 8 | 2016 | 69 | |
| 9 | 2018 | 56 | |
| 10 | 2019 | 52 | |
| 11 | 1998 | 50 | |
| 12 | 2016 | 38 | |
| 13 | 2017 | 31 | |
| 14 | 2022 | 30 | |
| 15 | 2001 | 27 | |
| 16 | 2004 | 23 | |
| 17 | 2021 | 22 | |
| 18 | 2022 | 22 | |
| 19 | 2014 | 16 | |
| 20 | 2020 | 15 |
About Thomas Westerling
Thomas Westerling is a scholar working on Cell Biology, Artificial Intelligence, Oncology, Health Informatics and Genetics, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Estrogen and related hormone effects (4 papers), Microtubule and mitosis dynamics (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Cancer-related Molecular Pathways (2 papers), Prostate Cancer Treatment and Research (2 papers), Colorectal Cancer Surgical Treatments (2 papers) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (109 citations), Cancer Research (142 citations), Oncology (235 citations), Molecular Biology (516 citations) and Health Informatics (14 citations). Thomas Westerling has collaborated with scholars based in United States, Finland and Canada. Frequent co-authors include Myles Brown, Tomi P. Mäkelä, Shannon Terrell Bailey, Emilia Kuuluvainen, Kiran Padmanabhan, Charles J. Weitz, María S. Robles, Hyunjin Shin, Xiaole Shirley Liu and Deqi Huang. Their work appears in journals such as Toxicologic Pathology, The EMBO Journal, eLife, Proceedings of the National Academy of Sciences and JCI Insight.
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.