Mark Schiffman

436 papers receiving 37.7k citations

Mark Schiffman's Hit Papers

An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening 2018 · 283 citations
2830+10+21Years since publication50010001.5k2.0k2.5k

Peers

Mark Schiffman
Comparison fields: 5 of 188
  • Epidemiology 31.4k
  • Microbiology 3.1k
  • Obstetrics and Gynecology 2.5k
  • Otorhinolaryngology 1.2k
  • Oncology 5.4k
Replace F. Xavier Bosch with:
F. Xavier Bosch Spain
Rolando Herrero United States
Robert D. Burk United States
Joakim Dillner Sweden
Peter J.F. Snijders Netherlands
Keerti V. Shah United States
Philip E. Castle United States
Núbia Muñóz France
Nicolas Wentzensen United States
Allan Hildesheim United States
Mark Schiffman relative to F. Xavier Bosch Spain F. Xavier Bosch's profile →
Citations per field
00.5×1.6×
F. Xavier Bosch · 1×
Citations per year

Countries citing papers authored by Mark Schiffman

Since Specialization
Citations

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

Fields of papers citing papers by Mark Schiffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Schiffman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Schiffman Line = papers co-authored together Mark Schiffman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 441 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence of Human Papillomavirus in Cervical Cancer: a Worldwide Perspective
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19952870
2
Human papillomavirus and cervical cancer
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20072259
3
American Cancer Society, American Society for Colposcopy and Cervical Pathology, and American Society for Clinical Pathology screening guidelines for the prevention and early detection of cervical cancer
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20121065
4
Epidemiologic Evidence Showing That Human Papillomavirus Infection Causes Most Cervical Intraepithelial Neoplasia
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19931041
5
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
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2005854
6
Comparison of Three Management Strategies for Patients With Atypical Squamous Cells of Undetermined Significance: Baseline Results From a Randomized Trial
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2001810
7
Annual Report to the Nation on the Status of Cancer, 1975–2009, Featuring the Burden and Trends in Human Papillomavirus (HPV)–Associated Cancers and HPV Vaccination Coverage Levels
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2013805
8
American Cancer Society, American Society for Colposcopy and Cervical Pathology, and American Society for Clinical Pathology Screening Guidelines for the Prevention and Early Detection of Cervical Cancer
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2012768
9
Epidemiology and Natural History of Human Papillomavirus Infections and Type-Specific Implications in Cervical Neoplasia
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2008672
10
Carcinogenic human papillomavirus infection
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2016665
11
American Cancer Society, American Society for Colposcopy and Cervical Pathology, and American Society for Clinical Pathology Screening Guidelines for the Prevention and Early Detection of Cervical Cancer
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2012648
12
Persistence of Type-Specific Human Papillomavirus Infection among Cytologically Normal Women
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1994602
13
Human Papillomavirus Testing in the Prevention of Cervical Cancer
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2011582
14 2005439
15
Cervical cancer risk for women undergoing concurrent testing for human papillomavirus and cervical cytology: a population-based study in routine clinical practice
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2011432
16 2008421
17 2003389
18
Reduced Prevalence of Oral Human Papillomavirus (HPV) 4 Years after Bivalent HPV Vaccination in a Randomized Clinical Trial in Costa Rica
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2013379
19 2009371
20 1995348

About Mark Schiffman

Mark Schiffman is a scholar working on Epidemiology, Surgery, Oncology, Molecular Biology and Microbiology, having authored 441 papers that have together received 39.5k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (371 papers), Genital Health and Disease (90 papers), Hepatitis B Virus Studies (42 papers), Global Cancer Incidence and Screening (42 papers), Molecular Biology Techniques and Applications (38 papers), Reproductive tract infections research (35 papers), AI in cancer detection (24 papers) and Endometrial and Cervical Cancer Treatments (22 papers). The work is most often cited by research in Epidemiology (31.4k citations), Microbiology (3.1k citations), Obstetrics and Gynecology (2.5k citations), Otorhinolaryngology (1.2k citations) and Oncology (5.4k citations). Mark Schiffman has collaborated with scholars based in United States, Costa Rica and France. Frequent co-authors include Philip E. Castle, Sholom Wacholder, Diane Solomon, Nicolas Wentzensen, Ana Cecilia Rodríguez, José Jerónimo, Mark E. Sherman, Robert D. Burk, Rolando Herrero and M. Michele Manos. Their work appears in journals such as International Journal of Cancer, JNCI Journal of the National Cancer Institute, Journal of Lower Genital Tract Disease, Cancer Epidemiology Biomarkers & Prevention and The Journal of Infectious Diseases.

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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