Mark E. Sherman

22.4k total citations · 2 hit papers
159 papers, 12.5k citations indexed

About

Mark E. Sherman is a scholar working on Epidemiology, Oncology and Cancer Research. According to data from OpenAlex, Mark E. Sherman has authored 159 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Epidemiology, 42 papers in Oncology and 35 papers in Cancer Research. Recurrent topics in Mark E. Sherman's work include Cervical Cancer and HPV Research (78 papers), Endometrial and Cervical Cancer Treatments (33 papers) and Genital Health and Disease (26 papers). Mark E. Sherman is often cited by papers focused on Cervical Cancer and HPV Research (78 papers), Endometrial and Cervical Cancer Treatments (33 papers) and Genital Health and Disease (26 papers). Mark E. Sherman collaborates with scholars based in United States, Poland and Costa Rica. Mark E. Sherman's co-authors include Mark Schiffman, Sholom Wacholder, Sophia Wang, Louise A. Brinton, Philip E. Castle, Rolando Herrero, Robert D. Burk, Montserrat García‐Closas, Allan Hildesheim and Susan S. Devesa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and JAMA.

In The Last Decade

Mark E. Sherman

158 papers receiving 12.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Elevated 10-Year Risk of Cervical Precancer and Cancer in Women With Human Papillomavirus (HPV) Type 16 or 18 and the Possible Utility of Type-Specific HPV Testing in Clinical Practice

2005 806 citations Philip E. Castle, Attila T. Lörincz et al. JNCI Journal of the National Cancer Institute profile →
The 2001 Bethesda System: Terminology for Reporting Results of Cervical Cytology

2002 668 citations Diane Solomon, Mark E. Sherman et al. profile →

Author Peers

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

Author						Papers	Cites
Mark E. Sherman	7.8k	3.8k	3.1k	2.6k	2.0k	159	12.5k
Mark E. Sherman	11.1k 1.4×	5.1k 1.3×	4.4k 1.4×	3.4k 1.3×	3.3k 1.6×	322	19.4k
Henry C Kitchener	7.1k 0.9×	3.8k 1.0×	4.0k 1.3×	3.0k 1.1×	5.1k 2.5×	235	16.2k
Nicolas Wentzensen	16.4k 2.1×	7.7k 2.0×	6.7k 2.2×	4.7k 1.8×	3.2k 1.6×	375	24.3k
Maria Kyrgiou	5.3k 0.7×	2.0k 0.5×	1.8k 0.6×	1.6k 0.6×	2.0k 1.0×	180	8.6k
Evangelos Paraskevaidis	5.3k 0.7×	2.1k 0.6×	1.8k 0.6×	1.1k 0.4×	1.9k 0.9×	139	8.1k
Howard D. Strickler	3.9k 0.5×	2.0k 0.5×	2.7k 0.9×	1.7k 0.7×	436 0.2×	227	8.6k
Salvatore Vaccarella	4.5k 0.6×	2.5k 0.7×	2.6k 0.9×	1.4k 0.5×	548 0.3×	106	9.5k
Peter Kenemans	2.4k 0.3×	1.7k 0.4×	2.4k 0.8×	2.6k 1.0×	1.5k 0.8×	304	11.6k
Sílvia de Sanjosé	4.5k 0.6×	1.4k 0.4×	2.6k 0.9×	1.3k 0.5×	786 0.4×	171	7.6k
Jerome L. Belinson	3.3k 0.4×	1.8k 0.5×	2.0k 0.7×	1.3k 0.5×	1.3k 0.6×	229	7.2k

Countries citing papers authored by Mark E. Sherman

Since Specialization

Citations

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

Fields of papers citing papers by Mark E. Sherman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark E. Sherman. 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 Mark E. Sherman. The network helps show where Mark E. Sherman may publish in the future.

Co-authorship network of co-authors of Mark E. Sherman

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

All Works

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20 of 20 papers shown

Koya, S. Kiran, Michelle Brusatori, Sally Yurgelevic, et al.. (2020). Accurate identification of breast cancer margins in microenvironments of ex-vivo basal and luminal breast cancer tissues using Raman spectroscopy. Prostaglandins & Other Lipid Mediators. 151. 106475–106475. 23 indexed citations

Abubakar, Mustapha, Jonine D. Figueroa, H. Raza Ali, et al.. (2019). Combined quantitative measures of ER, PR, HER2, and KI67 provide more prognostic information than categorical combinations in luminal breast cancer. Modern Pathology. 32(9). 1244–1256. 56 indexed citations

Trabert, Britton, Nicolas Wentzensen, Ashley S. Felix, et al.. (2015). Metabolic Syndrome and Risk of Endometrial Cancer in the United States: A Study in the SEER–Medicare Linked Database. Cancer Epidemiology Biomarkers & Prevention. 24(1). 261–267. 110 indexed citations

Boon, Johan A. den, Dohun Pyeon, Sophia Wang, et al.. (2015). Molecular transitions from papillomavirus infection to cervical precancer and cancer: Role of stromal estrogen receptor signaling. Proceedings of the National Academy of Sciences. 112(25). E3255–64. 222 indexed citations

Casbas-Hernández, Patricia, Xuezheng Sun, Erick Romàn-Pèrez, et al.. (2014). Tumor Intrinsic Subtype Is Reflected in Cancer-Adjacent Tissue. Cancer Epidemiology Biomarkers & Prevention. 24(2). 406–414. 68 indexed citations

Sun, Xuezheng, Rupninder Sandhu, Jonine D. Figueroa, et al.. (2014). Benign Breast Tissue Composition in Breast Cancer Patients: Association with Risk Factors, Clinical Variables, and Gene Expression. Cancer Epidemiology Biomarkers & Prevention. 23(12). 2810–2818. 17 indexed citations

Sun, Xuezheng, Gretchen L. Gierach, Rupninder Sandhu, et al.. (2013). Relationship of Mammographic Density and Gene Expression: Analysis of Normal Breast Tissue Surrounding Breast Cancer. Clinical Cancer Research. 19(18). 4972–4982. 49 indexed citations

Yang, Xiaohong R., Jonine D. Figueroa, Roni T. Falk, et al.. (2012). Analysis of terminal duct lobular unit involution in luminal A and basal breast cancers. Breast Cancer Research. 14(2). R64–R64. 36 indexed citations

Welsh, Allison W., Donald R. Lannin, Gregory Young, et al.. (2011). Cytoplasmic Estrogen Receptor in Breast Cancer. Clinical Cancer Research. 18(1). 118–126. 49 indexed citations

10.

Schiffman, Mark, Andrew G. Glass, Nicolas Wentzensen, et al.. (2011). A Long-term Prospective Study of Type-Specific Human Papillomavirus Infection and Risk of Cervical Neoplasia Among 20,000 Women in the Portland Kaiser Cohort Study. Cancer Epidemiology Biomarkers & Prevention. 20(7). 1398–1409. 106 indexed citations

11.

Herrero, Rolando, Sholom Wacholder, Ana Cecilia Rodríguez, et al.. (2011). Prevention of Persistent Human Papillomavirus Infection by an HPV16/18 Vaccine: A Community-Based Randomized Clinical Trial in Guanacaste, Costa Rica. Cancer Discovery. 1(5). 408–419. 116 indexed citations

12.

Bolton, Kelly L., Montserrat García‐Closas, Ruth M. Pfeiffer, et al.. (2010). Assessment of Automated Image Analysis of Breast Cancer Tissue Microarrays for Epidemiologic Studies. Cancer Epidemiology Biomarkers & Prevention. 19(4). 992–999. 48 indexed citations

13.

Wang, Sophia, Paula González, Kai Yu, et al.. (2010). Common Genetic Variants and Risk for HPV Persistence and Progression to Cervical Cancer. PLoS ONE. 5(1). e8667–e8667. 95 indexed citations

14.

Gaudet, Mia M., Mihaela Campan, Jonine D. Figueroa, et al.. (2009). DNA Hypermethylation of ESR1 and PGR in Breast Cancer: Pathologic and Epidemiologic Associations. Cancer Epidemiology Biomarkers & Prevention. 18(11). 3036–3043. 56 indexed citations

15.

Yang, Xiaohong R., Ruth M. Pfeiffer, Montserrat García‐Closas, et al.. (2007). Hormonal Markers in Breast Cancer: Coexpression, Relationship with Pathologic Characteristics, and Risk Factor Associations in a Population-Based Study. Cancer Research. 67(21). 10608–10617. 45 indexed citations

16.

Anderson, William F., Rayna K. Matsuno, Mark E. Sherman, et al.. (2007). Estimating age-specific breast cancer risks: a descriptive tool to identify age interactions. Cancer Causes & Control. 18(4). 439–447. 41 indexed citations

17.

Schiffman, Mark, Rolando Herrero, Rob DeSalle, et al.. (2005). The carcinogenicity of human papillomavirus types reflects viral evolution. Virology. 337(1). 76–84. 419 indexed citations

18.

Sherman, Mark E., Sophia Wang, Robert E. Tarone, Laurie J. Rich, & Mark Schiffman. (2003). Histopathologic extent of cervical intraepithelial neoplasia 3 lesions in the atypical squamous cells of undetermined significance low-grade squamous intraepithelial lesion triage study: implications for subject safety and lead-time bias.. PubMed. 12(4). 372–9. 81 indexed citations

19.

Liaw, Kao‐Lee, A. G. Glass, M. Michele Manos, et al.. (1999). Detection of Human Papillomavirus DNA in Cytologically Normal Women and Subsequent Cervical Squamous Intraepithelial Lesions. JNCI Journal of the National Cancer Institute. 91(11). 954–960. 194 indexed citations

20.

Koss, Leopold G., Mark E. Sherman, Michael B. Cohen, et al.. (1997). Significant reduction in the rate of false-negative cervical smears with neural network-based technology (PAPNET testing system). Human Pathology. 28(10). 1196–1203. 33 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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