Stuart J. Schnitt

48.2k total citations · 11 hit papers
377 papers, 30.5k citations indexed

About

Stuart J. Schnitt is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Stuart J. Schnitt has authored 377 papers receiving a total of 30.5k indexed citations (citations by other indexed papers that have themselves been cited), including 236 papers in Cancer Research, 190 papers in Pathology and Forensic Medicine and 155 papers in Oncology. Recurrent topics in Stuart J. Schnitt's work include Breast Cancer Treatment Studies (219 papers), Breast Lesions and Carcinomas (181 papers) and Cancer and Skin Lesions (59 papers). Stuart J. Schnitt is often cited by papers focused on Breast Cancer Treatment Studies (219 papers), Breast Lesions and Carcinomas (181 papers) and Cancer and Skin Lesions (59 papers). Stuart J. Schnitt collaborates with scholars based in United States, Canada and Australia. Stuart J. Schnitt's co-authors include James L. Connolly, Jay R. Harris, Laura C. Collins, Graham A. Colditz, Rulla M. Tamimi, Rebecca Gelman, Ian O. Ellis, Sunil R. Lakhani, Timothy W. Jacobs and Abram Recht and has published in prestigious journals such as New England Journal of Medicine, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Stuart J. Schnitt

371 papers receiving 29.6k citations

Hit Papers

WHO classification of tum... 1995 2026 2005 2015 2012 2004 2000 2010 2020 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stuart J. Schnitt 15.7k 12.2k 11.0k 6.8k 5.1k 377 30.5k
P. J. van Diest 8.8k 0.6× 8.3k 0.7× 5.0k 0.5× 7.5k 1.1× 3.4k 0.7× 669 25.4k
Armando E. Giuliano 18.6k 1.2× 10.2k 0.8× 13.0k 1.2× 5.3k 0.8× 10.4k 2.0× 330 28.6k
Ayşegül A. Şahin 10.2k 0.7× 12.1k 1.0× 5.7k 0.5× 9.0k 1.3× 3.1k 0.6× 389 25.3k
Merrick I. Ross 9.4k 0.6× 24.6k 2.0× 6.0k 0.5× 8.2k 1.2× 5.3k 1.0× 425 34.7k
Jorge S. Reis‐Filho 16.4k 1.0× 18.0k 1.5× 7.1k 0.6× 17.1k 2.5× 2.7k 0.5× 521 37.9k
Kelly K. Hunt 24.3k 1.5× 17.5k 1.4× 16.1k 1.5× 4.3k 0.6× 13.3k 2.6× 744 40.5k
Giuseppe Viale 26.1k 1.7× 29.3k 2.4× 12.6k 1.1× 13.1k 1.9× 8.1k 1.6× 768 55.3k
Umberto Veronesi 21.5k 1.4× 12.4k 1.0× 13.4k 1.2× 3.2k 0.5× 9.8k 1.9× 411 32.1k
Emiel J. Rutgers 13.1k 0.8× 8.2k 0.7× 7.3k 0.7× 2.6k 0.4× 4.5k 0.9× 467 21.4k
Henry M. Kuerer 18.5k 1.2× 10.3k 0.8× 11.5k 1.0× 2.2k 0.3× 8.7k 1.7× 490 26.4k

Countries citing papers authored by Stuart J. Schnitt

Since Specialization
Citations

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

Fields of papers citing papers by Stuart J. Schnitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stuart J. Schnitt

This figure shows the co-authorship network connecting the top 25 collaborators of Stuart J. Schnitt. A scholar is included among the top collaborators of Stuart J. Schnitt 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 Stuart J. Schnitt. Stuart J. Schnitt 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.
Goel, Shom, Bojana Jovanović, Melissa E. Hughes, et al.. (2025). A Phase II Study of Abemaciclib for Patients with Retinoblastoma-Positive, Metastatic Triple-Negative Breast Cancer. Clinical Cancer Research. 31(8). 1427–1436. 3 indexed citations
3.
Ellis, Ian O., Fleur Webster, Kimberly H. Allison, et al.. (2024). Dataset for reporting of the invasive carcinoma of the breast: recommendations from the International Collaboration on Cancer Reporting (ICCR). Histopathology. 85(3). 418–436. 3 indexed citations
4.
Jovanović, Bojana, S. Church, Khrystyna North, et al.. (2024). Integrative Multiomic Profiling of Triple-Negative Breast Cancer for Identifying Suitable Therapies. Clinical Cancer Research. 30(20). 4768–4779. 3 indexed citations
5.
Richardson, Edward T., Vickie Y. Jo, & Stuart J. Schnitt. (2023). Salivary Gland–like Tumors of the Breast. Archives of Pathology & Laboratory Medicine. 147(9). 1014–1024. 4 indexed citations
6.
Schnitt, Stuart J., Paolo Tarantino, & Laura C. Collins. (2023). The American Society of Clinical Oncology–College of American Pathologists Guideline Update for Human Epidermal Growth Factor Receptor 2 Testing in Breast Cancer. Archives of Pathology & Laboratory Medicine. 147(9). 991–992. 10 indexed citations
7.
Thennavan, Aatish, Francisco Beça, Susana García‐Recio, et al.. (2021). Molecular analysis of TCGA breast cancer histologic types. Cell Genomics. 1(3). 100067–100067. 62 indexed citations
8.
Kensler, Kevin H., Gabrielle M. Baker, Andreea Lucia Stancu, et al.. (2020). Deep Learning Image Analysis of Benign Breast Disease to Identify Subsequent Risk of Breast Cancer. JNCI Cancer Spectrum. 5(1). 17 indexed citations
9.
Baker, Gabrielle M., Michael E. Pyle, Kevin H. Kensler, et al.. (2020). Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk. PLoS ONE. 15(4). e0231653–e0231653. 33 indexed citations
10.
Kensler, Kevin H., Francisco Beça, Gabrielle M. Baker, et al.. (2018). Androgen receptor expression in normal breast tissue and subsequent breast cancer risk. npj Breast Cancer. 4(1). 33–33. 23 indexed citations
11.
Beça, Francisco, Kevin H. Kensler, Benjamin Glass, et al.. (2017). EZH2 protein expression in normal breast epithelium and risk of breast cancer: results from the Nurses’ Health Studies. Breast Cancer Research. 19(1). 28 indexed citations
12.
Warner, Erica T., Rong Hu, Laura C. Collins, et al.. (2016). Height and Body Size in Childhood, Adolescence, and Young Adulthood and Breast Cancer Risk According to Molecular Subtype in the Nurses' Health Studies. Cancer Prevention Research. 9(9). 732–738. 25 indexed citations
13.
Moran, Meena S., Stuart J. Schnitt, Armando E. Giuliano, et al.. (2014). Society of Surgical Oncology–American Society for Radiation Oncology Consensus Guideline on Margins for Breast-Conserving Surgery With Whole-Breast Irradiation in Stages I and II Invasive Breast Cancer. Journal of Clinical Oncology. 32(14). 1507–1515. 285 indexed citations
14.
Martins, Filipe Correia, Subhajyoti De, Vanessa Almendro, et al.. (2012). Evolutionary Pathways in BRCA1-Associated Breast Tumors. Cancer Discovery. 2(6). 503–511. 95 indexed citations
15.
Hu, Rong, Shaheenah Dawood, Michelle D. Holmes, et al.. (2011). Androgen Receptor Expression and Breast Cancer Survival in Postmenopausal Women. Clinical Cancer Research. 17(7). 1867–1874. 301 indexed citations
16.
Keller, Patricia J., Lisa M. Arendt, Adam Skibinski, et al.. (2011). Defining the cellular precursors to human breast cancer. Proceedings of the National Academy of Sciences. 109(8). 2772–2777. 160 indexed citations
17.
Kleer, Celina G., Noga Bloushtain-Qimron, Yu‐Hui Chen, et al.. (2008). Epithelial and Stromal Cathepsin K and CXCL14 Expression in Breast Tumor Progression. Clinical Cancer Research. 14(17). 5357–5367. 80 indexed citations
18.
Harris, Lyndsay N., Gloria Broadwater, Nancy U. Lin, et al.. (2006). Molecular subtypes of breast cancer in relation to paclitaxel response and outcomes in women with metastatic disease: results from CALGB 9342. Breast Cancer Research. 8(6). 123 indexed citations
19.
Panico, Luigi, Antonio D’Antonio, Gaetano Salvatore, et al.. (1996). Differential immunohistochemical detection of transforming growth factor α, amphiregulin and CRIPTO in human normal and malignant breast tissues. International Journal of Cancer. 65(1). 51–56. 4 indexed citations
20.
Panico, Luigi, Antonio D’Antonio, Gaetano Salvatore, et al.. (1996). Differential immunohistochemical detection of transforming growth factor α, amphiregulin and CRIPTO in human normal and malignant breast tissues. International Journal of Cancer. 65(1). 51–56. 93 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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