Michael J. Thrall

1.5k total citations
70 papers, 1.1k citations indexed

About

Michael J. Thrall is a scholar working on Epidemiology, Oncology and Surgery. According to data from OpenAlex, Michael J. Thrall has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 21 papers in Oncology and 19 papers in Surgery. Recurrent topics in Michael J. Thrall's work include Cervical Cancer and HPV Research (24 papers), AI in cancer detection (11 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (10 papers). Michael J. Thrall is often cited by papers focused on Cervical Cancer and HPV Research (24 papers), AI in cancer detection (11 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (10 papers). Michael J. Thrall collaborates with scholars based in United States, Portugal and South Africa. Michael J. Thrall's co-authors include Liron Pantanowitz, Min P. Kim, Dhruva K. Mishra, Stephen T.C. Wong, Walid E. Khalbuss, Liang Gao, Fuhai Li, Zhiyong Wang, Katrina L. Salazar and Kelvin Wong and has published in prestigious journals such as PLoS ONE, Cancer and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Michael J. Thrall

67 papers receiving 1.1k citations

Peers

Michael J. Thrall
Agnes G. Loeffler United States
Manu Jain United States
Armand B. Cognetta United States
Ali Akalin United States
Paul B. Googe United States
Rasha Abu Eid United Kingdom
Charles D. Sturgis United States
Michael J. Thrall
Citations per year, relative to Michael J. Thrall Michael J. Thrall (= 1×) peers Martial Guillaud

Countries citing papers authored by Michael J. Thrall

Since Specialization
Citations

This map shows the geographic impact of Michael J. Thrall'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 Michael J. Thrall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Thrall more than expected).

Fields of papers citing papers by Michael J. Thrall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Thrall. 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 Michael J. Thrall. The network helps show where Michael J. Thrall may publish in the future.

Co-authorship network of co-authors of Michael J. Thrall

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Thrall. A scholar is included among the top collaborators of Michael J. Thrall 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 Michael J. Thrall. Michael J. Thrall 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.
Roy‐Chowdhuri, Sinchita, Christine N. Booth, Jonas J. Heymann, et al.. (2025). Optimizing cytology and small biopsy specimen processing for ancillary studies: recommendations from the American Society of Cytopathology taskforce. Journal of the American Society of Cytopathology. 14(5). 285–308.
2.
Thrall, Michael J., Erin McCarthy, Jeffrey K. Mito, & Jianyu Rao. (2024). Triage options for positive high-risk HPV results from HPV-based cervical cancer screening: a review of the potential alternatives to Papanicolaou test cytology. Journal of the American Society of Cytopathology. 14(1). 11–22. 5 indexed citations
3.
Heymann, Jonas J., Cristiana M. Pineda, Joshua Menke, et al.. (2024). Tools, techniques, and challenges in preparing cytology specimens for ancillary studies: results of the ASC Optimizing Cytology and Small Biopsy Specimen Processing for Ancillary Studies task force survey. Journal of the American Society of Cytopathology. 14(1). 55–63. 1 indexed citations
4.
Kim, David, Michael J. Thrall, Pamela Michelow, et al.. (2024). The current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force. Journal of the American Society of Cytopathology. 13(5). 319–328. 13 indexed citations
5.
Kim, David, Oscar Lin, Momin T. Siddiqui, et al.. (2023). The Current State of Whole Slide Imaging and Artificial Intelligence in Cytology Practice: Global Survey Results from the American Society of Cytopathology Digital Cytology White Paper Task Force. Journal of the American Society of Cytopathology. 12(5). S72–S73. 1 indexed citations
6.
Kim, David, Kaitlin E. Sundling, Renu K. Virk, et al.. (2023). Digital cytology part 2: artificial intelligence in cytology: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force. Journal of the American Society of Cytopathology. 13(2). 97–110. 33 indexed citations
7.
Kim, David, Kaitlin E. Sundling, Renu K. Virk, et al.. (2023). Digital cytology part 1: digital cytology implementation for practice: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force. Journal of the American Society of Cytopathology. 13(2). 86–96. 27 indexed citations
8.
Lin, Oscar, Susan Alperstein, Güliz A. Barkan, et al.. (2023). American Society of Cytopathology Telecytology validation recommendations for rapid on-site evaluation (ROSE). Journal of the American Society of Cytopathology. 13(2). 111–121. 7 indexed citations
10.
Thrall, Michael J., et al.. (2022). Assessing the quality of cytopathology whole slide imaging for education from archived cases. Journal of the American Society of Cytopathology. 11(5). 313–319. 6 indexed citations
11.
Thrall, Michael J. & Judy Pang. (2020). Cytopathology: the small specimen subspecialty. Journal of the American Society of Cytopathology. 9(5). 306–309. 5 indexed citations
12.
Thrall, Michael J., et al.. (2020). Cyto-histo correlations of plasmacytoid and micropapillary variants of high-grade urothelial carcinoma: do they fit well in The Paris System for reporting urinary cytology?. Journal of the American Society of Cytopathology. 10(1). 20–24. 10 indexed citations
13.
14.
Thrall, Michael J.. (2018). Automated screening of Papanicolaou tests: A review of the literature. Diagnostic Cytopathology. 47(1). 20–27. 42 indexed citations
15.
Vishnoi, Monika, Dhruva K. Mishra, Michael J. Thrall, Jonathan M. Kurie, & Min P. Kim. (2014). Circulating tumor cells from a 4-dimensional lung cancer model are resistant to cisplatin. Journal of Thoracic and Cardiovascular Surgery. 148(3). 1056–1064. 14 indexed citations
16.
Thrall, Michael J., Andreana L. Rivera, Hidehiro Takei, & Suzanne Z. Powell. (2014). Validation of a novel robotic telepathology platform for neuropathology intraoperative touch preparations. Journal of Pathology Informatics. 5(1). 21–21. 10 indexed citations
17.
Gao, Liang, Fuhai Li, Michael J. Thrall, et al.. (2011). On-the-spot lung cancer differential diagnosis by label-free, molecular vibrational imaging and knowledge-based classification. Journal of Biomedical Optics. 16(9). 96004–96004. 25 indexed citations
18.
Thrall, Michael J., et al.. (2010). High-Risk HPV Testing in Women 30 Years or Older With Negative Papanicolaou Tests. American Journal of Clinical Pathology. 133(6). 894–898. 33 indexed citations
19.
Thrall, Michael J., et al.. (2008). Rate of Endometrial Adenocarcinoma in Women Screened Before and After Implementation of the Bethesda 2001 Reporting System. Acta Cytologica. 52(1). 1–7. 3 indexed citations
20.
Stelow, Edward B., Stefan E. Pambuccian, Michael J. Thrall, et al.. (2005). Fine‐needle aspiration cytology of pancreatic somatostatinoma: The importance of immunohistochemistry for the cytologic diagnosis of pancreatic endocrine neoplasms. Diagnostic Cytopathology. 33(2). 100–105. 9 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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