P Poll

25 papers receiving 1.0k citations

Peers

P Poll
Comparison fields: 5 of 72
  • Microbiology 231
  • Epidemiology 976
  • Obstetrics and Gynecology 103
  • Surgery 469
  • Oncology 180
Replace Héctor Posso with:
Héctor Posso Colombia
H. R. Shin South Korea
Margarita Ronderos Colombia
Rosa C. de Britton United States
Constance Mao United States
Sukhon Sukvirach France
L Tafur Spain
A. G. Glass United States
M. Santamaria Spain
E Guerrero Spain
P Poll relative to Héctor Posso Colombia Héctor Posso's profile →
Citations per field
00.5×1.5×
Héctor Posso · 1×
Citations per year

Countries citing papers authored by P Poll

Since Specialization
Citations

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

Fields of papers citing papers by P Poll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P Poll, 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 P Poll Line = papers co-authored together P Poll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002348
2 1996179
3
Determinants for genital human papillomavirus (HPV) infection in 1000 randomly chosen young Danish women with normal Pap smear: are there different risk profiles for oncogenic and nononcogenic HPV types?
1997129
4 198876
5 199372
6 199860
7 199746
8 200638
9 198927
10 199926
11 199818
12 199716
13 199711
14 199010
15 20039
16 19989
17 19938
18
Risk of cervical cancer following negative smears in Maribo County, Denmark, 1966-1982.
19868
19 19984
20
Leucomethylene blue staining during vagotomy.
19714

About P Poll

P Poll is a scholar working on Epidemiology, Surgery, General Health Professions, Ecology, Evolution, Behavior and Systematics and Oncology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (21 papers), Genital Health and Disease (6 papers), Hepatitis B Virus Studies (4 papers), T-cell and Retrovirus Studies (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Vector-Borne Animal Diseases (2 papers), Reproductive tract infections research (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Microbiology (231 citations), Epidemiology (976 citations), Obstetrics and Gynecology (103 citations), Surgery (469 citations) and Oncology (180 citations). P Poll has collaborated with scholars based in Denmark, Netherlands and Germany. Frequent co-authors include Susanne K. Kjær, Johannes E. Bock, Chris J.L.M. Meijer, Mark E. Sherman, Adriaan J. C. van den Brule, Edith I. Svare, Gerda Engholm, Jan M.M. Walboomers, Gerson Paull and Birthe Lykke Thomsen. Their work appears in journals such as International Journal of Cancer, British Journal of Cancer, Acta Obstetricia Et Gynecologica Scandinavica, Sexually Transmitted Diseases and Journal of Medical Screening.

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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