Thomas Westerling

1.7k total citations
20 papers, 1.1k citations indexed

About

Thomas Westerling is a scholar working on Molecular Biology, Oncology and Artificial Intelligence. According to data from OpenAlex, Thomas Westerling has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Artificial Intelligence. Recurrent topics in Thomas Westerling's work include AI in cancer detection (5 papers), Estrogen and related hormone effects (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Thomas Westerling is often cited by papers focused on AI in cancer detection (5 papers), Estrogen and related hormone effects (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Thomas Westerling collaborates with scholars based in United States, Finland and Germany. Thomas Westerling's co-authors include Myles Brown, Shannon T. Bailey, Kiran Padmanabhan, María S. Robles, Charles J. Weitz, Emilia Kuuluvainen, Xiaole Shirley Liu, Hyunjin Shin, Tomi P. Mäkelä and Helmut Pospiech and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Thomas Westerling

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Westerling United States 15 623 345 203 177 115 20 1.1k
Joan Climent Spain 21 824 1.3× 338 1.0× 220 1.1× 326 1.8× 67 0.6× 32 1.5k
Gene Cutler United States 13 598 1.0× 167 0.5× 129 0.6× 86 0.5× 68 0.6× 18 1.1k
Mohammad Fallahi United States 26 1.2k 2.0× 264 0.8× 118 0.6× 272 1.5× 49 0.4× 41 1.9k
Rendong Yang United States 19 1.3k 2.1× 283 0.8× 197 1.0× 309 1.7× 117 1.0× 41 2.0k
Alain Mir United States 12 932 1.5× 157 0.5× 165 0.8× 168 0.9× 114 1.0× 14 1.4k
Hee‐Don Chae United States 18 659 1.1× 231 0.7× 53 0.3× 100 0.6× 49 0.4× 40 1.0k
Eike Staub Germany 21 1.1k 1.7× 285 0.8× 207 1.0× 229 1.3× 66 0.6× 38 1.7k
Andrea J. Hartlerode United States 8 960 1.5× 317 0.9× 77 0.4× 150 0.8× 90 0.8× 11 1.3k
Irene Papatheodorou United Kingdom 17 988 1.6× 74 0.2× 166 0.8× 163 0.9× 52 0.5× 45 1.4k
Jiyong Wang China 25 1.5k 2.4× 133 0.4× 150 0.7× 149 0.8× 339 2.9× 55 2.0k

Countries citing papers authored by Thomas Westerling

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Thomas Westerling

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Westerling. A scholar is included among the top collaborators of Thomas Westerling 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 Westerling. Thomas Westerling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pai, Reetesh K., Kenneth Lee, Catherine E. Hagen, et al.. (2025). Quantitative Analysis of Rectal Cancer Biopsies With the Digital Pathology Segmentation Algorithm QuantCRC Associates With Therapy Response and Recurrence. Laboratory Investigation. 105(8). 104187–104187.
2.
Flotte, Thomas J., Debra A. Bell, Alireza Samiei, et al.. (2024). Democratizing Artificial Intelligence in Anatomic Pathology. Archives of Pathology & Laboratory Medicine. 149(1). 55–59.
3.
Pai, Rish K., Christina Wu, Heidi Kosiorek, et al.. (2024). Development of an improved risk stratification scheme for stage II and III colorectal cancers through incorporation of the digital pathology biomarker QuantCRC.. Journal of Clinical Oncology. 42(3_suppl). 162–162. 1 indexed citations
4.
Ricaurte, Luisa, Hanna-Kaisa Sihvo, Thomas Westerling, et al.. (2022). Development and technical validation of an artificial intelligence model for quantitative analysis of histopathologic features of eosinophilic esophagitis. Journal of Pathology Informatics. 13. 100144–100144. 19 indexed citations
5.
Westerling, Thomas, et al.. (2021). Screening For Bone Marrow Cellularity Changes in Cynomolgus Macaques in Toxicology Safety Studies Using Artificial Intelligence Models. Toxicologic Pathology. 49(4). 905–911. 10 indexed citations
6.
Perosa, Valentina, Ashley A. Scherlek, Mariel G. Kozberg, et al.. (2021). Deep learning assisted quantitative assessment of histopathological markers of Alzheimer’s disease and cerebral amyloid angiopathy. Acta Neuropathologica Communications. 9(1). 141–141. 19 indexed citations
7.
8.
Klopfleisch, Robert, et al.. (2020). Developing a Qualification and Verification Strategy for Digital Tissue Image Analysis in Toxicological Pathology. Toxicologic Pathology. 49(4). 773–783. 14 indexed citations
9.
Parker, Sara S., Deanna G. Adams, Thomas Westerling, et al.. (2018). The actin cytoskeletal architecture of estrogen receptor positive breast cancer cells suppresses invasion. Nature Communications. 9(1). 2980–2980. 49 indexed citations
10.
Cheng, Jingwei, Donglim Esther Park, Christian Berrios, et al.. (2017). Merkel cell polyomavirus recruits MYCL to the EP400 complex to promote oncogenesis. PLoS Pathogens. 13(10). e1006668–e1006668. 92 indexed citations
11.
Tavera-Mendoza, Luz E., Thomas Westerling, Eric Libby, et al.. (2017). Vitamin D receptor regulates autophagy in the normal mammary gland and in luminal breast cancer cells. Proceedings of the National Academy of Sciences. 114(11). E2186–E2194. 106 indexed citations
12.
Elias, Kevin M., Thomas Westerling, Henry W. Long, et al.. (2016). Epigenetic remodeling regulates transcriptional changes between ovarian cancer and benign precursors. JCI Insight. 1(13). 25 indexed citations
13.
Bailey, Shannon T., Thomas Westerling, & Myles Brown. (2014). Loss of Estrogen-Regulated microRNA Expression Increases HER2 Signaling and Is Prognostic of Poor Outcome in Luminal Breast Cancer. Cancer Research. 75(2). 436–445. 71 indexed citations
14.
Westerling, Thomas, et al.. (2014). Research Resource: Aorta- and Liver-Specific ERα-Binding Patterns and Gene Regulation by Estrogen. Molecular Endocrinology. 28(8). 1337–1351. 17 indexed citations
15.
Padmanabhan, Kiran, María S. Robles, Thomas Westerling, & Charles J. Weitz. (2012). Feedback Regulation of Transcriptional Termination by the Mammalian Circadian Clock PERIOD Complex. Science. 337(6094). 599–602. 131 indexed citations
16.
Bailey, Shannon T., Hyunjin Shin, Thomas Westerling, Xiaole Shirley Liu, & Myles Brown. (2012). Estrogen receptor prevents p53-dependent apoptosis in breast cancer. Proceedings of the National Academy of Sciences. 109(44). 18060–18065. 120 indexed citations
17.
Lupien, Mathieu, Clifford A. Meyer, Shannon T. Bailey, et al.. (2010). Growth factor stimulation induces a distinct ERα cistrome underlying breast cancer endocrine resistance. Genes & Development. 24(19). 2219–2227. 124 indexed citations
18.
Westerling, Thomas, et al.. (2007). Cdk8 Is Essential for Preimplantation Mouse Development. Molecular and Cellular Biology. 27(17). 6177–6182. 99 indexed citations
19.
Westerling, Thomas, et al.. (2004). Mcs2 and a novel CAK subunit Pmh1 associate with Skp1 in fission yeast. Biochemical and Biophysical Research Communications. 325(4). 1424–1432. 23 indexed citations
20.
Tuusa, Jussi, Kaarina Reini, Deqi Huang, et al.. (2001). BRCT Domain-containing Protein TopBP1 Functions in DNA Replication and Damage Response. Journal of Biological Chemistry. 276(32). 30399–30406. 182 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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