Mark E. Sherman

95.8k total citations · 3 hit papers
322 papers, 19.4k 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 322 papers receiving a total of 19.4k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Epidemiology, 94 papers in Oncology and 70 papers in Cancer Research. Recurrent topics in Mark E. Sherman's work include Cervical Cancer and HPV Research (90 papers), Endometrial and Cervical Cancer Treatments (60 papers) and Ovarian cancer diagnosis and treatment (49 papers). Mark E. Sherman is often cited by papers focused on Cervical Cancer and HPV Research (90 papers), Endometrial and Cervical Cancer Treatments (60 papers) and Ovarian cancer diagnosis and treatment (49 papers). Mark E. Sherman collaborates with scholars based in United States, Costa Rica and Netherlands. Mark E. Sherman's co-authors include Mark Schiffman, M. Michele Manos, R. J. Kurman, Robert J. Kurman, Sholom Wacholder, Allan Hildesheim, J Peto, F. Xavier Bosch, Angela Jansen and Keshu Shan and has published in prestigious journals such as JAMA, Circulation and Journal of Clinical Oncology.

In The Last Decade

Mark E. Sherman

308 papers receiving 18.6k citations

Hit Papers

Prevalence of Human Papil... 1993 2026 2004 2015 1995 1993 1994 500 1000 1.5k 2.0k 2.5k
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.

  1. Prevalence of Human Papillomavirus in Cervical Cancer: a Worldwide Perspective
    1995 2.8k citations Mark E. Sherman et al. profile →
  2. Epidemiologic Evidence Showing That Human Papillomavirus Infection Causes Most Cervical Intraepithelial Neoplasia
    1993 986 citations Mark E. Sherman et al. profile →
  3. Persistence of Type-Specific Human Papillomavirus Infection among Cytologically Normal Women
    1994 581 citations Allan Hildesheim, Andrew G. Glass et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Mark E. Sherman 11.1k 5.1k 4.4k 3.4k 3.3k 322 19.4k
Nicolas Wentzensen 16.4k 1.5× 7.7k 1.5× 6.7k 1.5× 4.7k 1.4× 3.2k 1.0× 375 24.3k
Henry C Kitchener 7.1k 0.6× 3.8k 0.7× 4.0k 0.9× 3.0k 0.9× 5.1k 1.5× 235 16.2k
Mark H. Stoler 10.9k 1.0× 5.6k 1.1× 4.3k 1.0× 3.2k 0.9× 1.4k 0.4× 272 17.0k
Mark E. Sherman 7.8k 0.7× 3.8k 0.7× 3.1k 0.7× 2.6k 0.8× 2.0k 0.6× 159 12.5k
Philip E. Castle 21.6k 1.9× 9.3k 1.8× 6.6k 1.5× 4.2k 1.2× 2.7k 0.8× 345 25.0k
Diane Solomon 14.7k 1.3× 6.9k 1.3× 5.6k 1.3× 2.4k 0.7× 2.0k 0.6× 124 18.9k
Allan Hildesheim 14.6k 1.3× 6.6k 1.3× 5.5k 1.2× 4.3k 1.3× 1.4k 0.4× 338 22.6k
Joakim Dillner 20.1k 1.8× 8.0k 1.6× 7.4k 1.7× 4.3k 1.3× 2.0k 0.6× 576 27.6k
Gemma G. Kenter 4.5k 0.4× 3.6k 0.7× 5.2k 1.2× 2.5k 0.7× 3.6k 1.1× 234 14.4k
Alex Ferenczy 6.8k 0.6× 3.6k 0.7× 1.8k 0.4× 1.5k 0.4× 3.0k 0.9× 280 12.0k

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

20 of 20 papers shown
1.
Sherman, Mark E., et al.. (2025). Determinants of Hemodynamic Response and Complication Rates in Pulmonary Embolism Patients Undergoing Percutaneous Mechanical Embolectomy: Insights From a Large Single-center Retrospective Study. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A4300–A4300.
2.
Chen, Chi, Colleen Olmstead, Mark E. Sherman, et al.. (2025). Highly pathogenic avian influenza A H5N1 virus infection in an immunocompromised domestic cat. PubMed. 1(6).
3.
Degnim, Amy C., et al.. (2024). 424 Deciphering the Immune Landscape in Benign Breast Disease: Implications for Risk Stratification and Breast Cancer Prevention. Journal of Clinical and Translational Science. 8(s1). 126–126.
4.
Nibbe, Andrea M., Robert A. Vierkant, Lisa R. Seymour, et al.. (2024). Understanding Benign Breast Disease and Subsequent Breast Cancer in Hispanic White Females: A Step Closer to Evidence-Based Management. Cancer Epidemiology Biomarkers & Prevention. 33(8). 1107–1113.
5.
Bakkum‐Gamez, Jamie N., Seth W. Slettedahl, Patrick H. Foote, et al.. (2023). Methylated DNA Markers for Sporadic Colorectal and Endometrial Cancer Are Strongly Associated with Lynch Syndrome Cancers. Cancer Prevention Research. 16(11). 611–620. 3 indexed citations
6.
Tang, Xiaojia, Jianning Song, Upasana Ray, et al.. (2022). DNA barcoded competitive clone-initiating cell analysis reveals novel features of metastatic growth in a cancer xenograft model. NAR Cancer. 4(3). zcac022–zcac022. 1 indexed citations
7.
Phuong, L., Austin Miller, Amanda Black, et al.. (2022). Effect of risk-reducing salpingo-oophorectomy on sex steroid hormone serum levels among postmenopausal women: an NRG Oncology/Gynecologic Oncology Group study. American Journal of Obstetrics and Gynecology. 227(1). 61.e1–61.e18. 3 indexed citations
8.
Walens, Andrea, Alina M. Hamilton, Mark E. Sherman, et al.. (2021). Molecular and Clinical Characterization of Postpartum-Associated Breast Cancer in the Carolina Breast Cancer Study Phase I–III, 1993–2013. Cancer Epidemiology Biomarkers & Prevention. 31(3). 561–568. 2 indexed citations
9.
Merritt, Melissa A., Howard D. Strickler, Alan D. Hutson, et al.. (2021). Sex Hormones, Insulin, and Insulin-like Growth Factors in Recurrence of High-Stage Endometrial Cancer. Cancer Epidemiology Biomarkers & Prevention. 30(4). 719–726. 10 indexed citations
10.
Sherman, Mark E., Robert A. Vierkant, Tanya L. Hoskin, et al.. (2020). Breast Cancer Risk and Use of Nonsteroidal Anti-inflammatory Agents After a Benign Breast Biopsy. Cancer Prevention Research. 13(11). 967–976. 9 indexed citations
11.
Kujawski, Maciej, Mark E. Sherman, Susanta Hui, et al.. (2020). Potent immunomodulatory effects of an anti-CEA-IL-2 immunocytokine on tumor therapy and effects of stereotactic radiation. OncoImmunology. 9(1). 1724052–1724052. 17 indexed citations
12.
13.
Ogony, Joshua, Derek C. Radisky, Kathryn J. Ruddy, et al.. (2020). Immune Responses and Risk of Triple-negative Breast Cancer: Implications for Higher Rates among African American Women. Cancer Prevention Research. 13(11). 901–910. 10 indexed citations
14.
Mullooly, Maeve, Shaoqi Fan, Ruth M. Pfeiffer, et al.. (2019). Using Digital Pathology to Understand Epithelial Characteristics of Benign Breast Disease among Women Undergoing Diagnostic Image-Guided Breast Biopsy. Cancer Prevention Research. 12(12). 861–870. 1 indexed citations
15.
Świderska-Chadaj, Żaneta, Hans Pinckaers, Mart van Rijthoven, et al.. (2019). Learning to detect lymphocytes in immunohistochemistry with deep learning. Medical Image Analysis. 58. 101547–101547. 104 indexed citations
16.
Nyante, Sarah J., Mark E. Sherman, Ruth M. Pfeiffer, et al.. (2015). Longitudinal Change in Mammographic Density among ER-Positive Breast Cancer Patients Using Tamoxifen. Cancer Epidemiology Biomarkers & Prevention. 25(1). 212–216. 20 indexed citations
17.
Khodr, Zeina G., Mark E. Sherman, Ruth M. Pfeiffer, et al.. (2014). Circulating Sex Hormones and Terminal Duct Lobular Unit Involution of the Normal Breast. Cancer Epidemiology Biomarkers & Prevention. 23(12). 2765–2773. 18 indexed citations
18.
Gierach, Gretchen L., Berta M. Geller, John Shepherd, et al.. (2014). Comparison of Mammographic Density Assessed as Volumes and Areas among Women Undergoing Diagnostic Image-Guided Breast Biopsy. Cancer Epidemiology Biomarkers & Prevention. 23(11). 2338–2348. 15 indexed citations
19.
Bratti, M. Concepción, Ana Cecilia Rodríguez, Mark Schiffman, et al.. (2004). Description of a seven-year prospective study of human papillomavirus infection and cervical neoplasia among 10 000 women in Guanacaste, Costa Rica Descripción de un estudio prospectivo de siete años sobre la infección por el virus del papiloma humano y el cáncer cervicouterino en 10 000 mujeres de Guanacaste, Costa Rica. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Stanley, Donald E., et al.. (1999). Reclassification of negative smears as atypical squamous cells of undetermined significance in quality assurance reviews. Cancer. 87(6). 346–350. 5 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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