Marianne U. Prey
- Epidemiology top 5%
- Cervical Cancer and HPV Research 12
- Microbiology top 5%
- Reproductive tract infections research 2
- Obstetrics and Gynecology top 5%
- Oncology top 10%
- Surgery top 10%
- Colorectal and Anal Carcinomas 2
- Genital Health and Disease 2
-
- AI in cancer detection 3
-
- Cancer Genomics and Diagnostics 2
-
- Glycosylation and Glycoproteins Research 1
-
- Viral gastroenteritis research and epidemiology 1
- Co-authors
- David C. WilburAnn MoriartyMark E. ShermanRobert J. KurmanDennis O’ConnorTom WrightStephen S. RaabDiane D. Davey
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Marianne U. Prey
18 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Epidemiology 806
- Microbiology 137
- Obstetrics and Gynecology 96
- Oncology 252
- Surgery 352
Countries citing papers authored by Marianne U. Prey
This map shows the geographic impact of Marianne U. Prey'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 Marianne U. Prey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marianne U. Prey more than expected).
Fields of papers citing papers by Marianne U. Prey
This network shows the impact of papers produced by Marianne U. Prey. 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 Marianne U. Prey. The network helps show where Marianne U. Prey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marianne U. Prey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 4 | |
| 2 | 2005 | 13 | |
| 3 | 2005 | 13 | |
| 4 | 2004 | 15 | |
| 5 | 2004 | 13 | |
| 6 | The 2001 Bethesda System: Terminology for Reporting Results of Cervical Cytologybreakdown → | 2002 | 668 |
| 7 | 1999 | 2 | |
| 8 | 1999 | 12 | |
| 9 | 1999 | 17 | |
| 10 | 1999 | 7 | |
| 11 | Detection of high grade squamous intraepithelial lesions and tumors using the AutoPap System: results of a primary screening clinical trial. | 1999 | 29 |
| 12 | 1999 | 21 | |
| 13 | 1998 | 87 | |
| 14 | 1991 | 8 | |
| 15 | 1989 | 45 | |
| 16 | 1988 | 4 | |
| 17 | 1985 | 23 | |
| 18 | 1984 | 68 |
About Marianne U. Prey
Marianne U. Prey is a scholar working on Epidemiology, Microbiology and Otorhinolaryngology, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (12 papers), AI in cancer detection (3 papers), Colorectal and Anal Carcinomas (2 papers), Reproductive tract infections research (2 papers), Genital Health and Disease (2 papers), Cancer Genomics and Diagnostics (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Epidemiology (806 citations), Microbiology (137 citations) and Obstetrics and Gynecology (96 citations). Marianne U. Prey has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David C. Wilbur, Ann Moriarty, Mark E. Sherman, Robert J. Kurman, Dennis O’Connor, Tom Wright, Stephen S. Raab, Diane D. Davey, Diane Solomon and Gene F. Pawlick. Their work appears in journals such as Cancer, Human Pathology and Breast Cancer Research and Treatment.
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.