Thomas Westerling
Impact in
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- Circadian rhythm and melatonin
- Aging top 10%
Papers in
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- DNA Repair Mechanisms 1
- Oncology 5
- HER2/EGFR in Cancer Research 2
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Myles Brown (7 shared papers)Shannon T. Bailey (3 shared papers)Charles J. Weitz (1 shared paper)María S. Robles (1 shared paper)Kiran Padmanabhan (1 shared paper)Emilia Kuuluvainen (1 shared paper)Xiaole Shirley Liu (1 shared paper)Hyunjin Shin (1 shared paper)
- Journals
- Toxicologic Pathology (3 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Journal of Offender Rehabilitation (1 paper)Acta Neuropathologica Communications (1 paper)
- Partner nations
- United StatesFinlandCanada
In The Last Decade
Thomas Westerling
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Endocrine and Autonomic Systems 107
- Aging 28
- Oncology 327
- Cancer Research 161
- Molecular Biology 605
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 188 | |
| 2 | 2012 | 138 | |
| 3 | 2010 | 131 | |
| 4 | 2012 | 122 | |
| 5 | 2017 | 114 | |
| 6 | 2007 | 102 | |
| 7 | 2017 | 97 | |
| 8 | 2014 | 74 | |
| 9 | 2018 | 51 | |
| 10 | 2016 | 26 | |
| 11 | 2004 | 23 | |
| 12 | 2021 | 20 | |
| 13 | 2022 | 20 | |
| 14 | 2014 | 17 | |
| 15 | 2020 | 15 | |
| 16 | 2021 | 12 | |
| 17 | 2015 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2024 | 1 | |
| 20 | 2015 | 1 |
About Thomas Westerling
Thomas Westerling is a scholar working on Molecular Biology, Oncology, Genetics, Artificial Intelligence and Plant Science, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), AI in cancer detection (4 papers), Cancer-related molecular mechanisms research (2 papers), HER2/EGFR in Cancer Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Immunotoxicology and immune responses (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (107 citations), Aging (28 citations), Oncology (327 citations), Cancer Research (161 citations) and Molecular Biology (605 citations). Thomas Westerling has collaborated with scholars based in United States, Finland and Canada. Frequent co-authors include Myles Brown, Shannon T. Bailey, Charles J. Weitz, María S. Robles, Kiran Padmanabhan, Emilia Kuuluvainen, Xiaole Shirley Liu, Hyunjin Shin, Tomi P. Mäkelä and Jussi Tuusa. Their work appears in journals such as Toxicologic Pathology, Proceedings of the National Academy of Sciences, Nature Communications, Journal of Offender Rehabilitation and Acta Neuropathologica Communications.
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.