Nancy E. Poitras

64 papers receiving 3.5k citations

Nancy E. Poitras's Hit Papers

Cervical cancer risk for women undergoing concurrent testing for human papillomavirus and cervical cytology: a population-based study in routine clinical practice 2011 · 465 citations
4650+5+10Years since publication100200300400

Peers

Nancy E. Poitras
Comparison fields: 5 of 70
  • Epidemiology 3.2k
  • Health Informatics 18
  • Obstetrics and Gynecology 54
  • Oncology 80
  • Statistics and Probability 44
Replace Mina Desai with:
Mina Desai United Kingdom
Nicole G. Campos United States
Barbara J. Fetterman United States
Mario Alfaro United States
Alexandra Sargent United Kingdom
Qinjing Pan China
Michelle J. Khan United States
Mitchell Greenberg United States
Dirk van Niekerk Canada
Mark H. Schiffman United States
Nancy E. Poitras relative to Mina Desai United Kingdom Mina Desai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nancy E. Poitras

Since Specialization
Citations

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

Fields of papers citing papers by Nancy E. Poitras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cervical cancer risk for women undergoing concurrent testing for human papillomavirus and cervical cytology: a population-based study in routine clinical practice
Hit paper breakdown →
2011465
2 2014211
3 2013173
4 2020163
5 2020157
6 2015155
7 2020137
8 2017134
9 2019130
10 2018107
11 200997
12 201891
13 201389
14 201882
15 201378
16 201676
17 201374
18 202073
19 201071
20 201071

About Nancy E. Poitras

Nancy E. Poitras is a scholar working on Epidemiology, Statistics and Probability, Oncology, Artificial Intelligence and Nuclear Energy and Engineering, having authored 65 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (63 papers), Statistical Methods in Epidemiology (2 papers), Global Cancer Incidence and Screening (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Epidemiology (3.2k citations), Health Informatics (18 citations), Obstetrics and Gynecology (54 citations), Oncology (80 citations) and Statistics and Probability (44 citations). Nancy E. Poitras has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Thomas S. Lorey, Walter Kinney, Philip E. Castle, Barbara J. Fetterman, MARK H. SCHIFFMAN, Li C. Cheung, Hormuzd A. Katki, Julia C. Gage, Nicolas Wentzensen and Tina R. Raine‐Bennett. Their work appears in journals such as Journal of Lower Genital Tract Disease, JNCI Journal of the National Cancer Institute, Gynecologic Oncology, Obstetrics and Gynecology and International Journal of Cancer.

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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