Lee-may Chen

105 papers receiving 3.5k citations

Peers

Lee-may Chen
Comparison fields: 5 of 110
  • Reproductive Medicine 1.3k
  • Obstetrics and Gynecology 821
  • Oncology 1.1k
  • Pathology and Forensic Medicine 495
  • Genetics 614
Replace Ritu Salani with:
Ritu Salani United States
Ilana Cass United States
Sarah E. Ferguson Canada
Linda Duska United States
Susan C. Modesitt United States
Bhavana Pothuri United States
Janice S. Kwon Canada
Jubilee Brown United States
Creighton L. Edwards United States
Arlan F. Fuller United States
Lee-may Chen relative to Ritu Salani United States Ritu Salani's profile →
Citations per field
00.5×3.2×
Ritu Salani · 1×
Citations per year

Countries citing papers authored by Lee-may Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lee-may Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee-may Chen. 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 Lee-may Chen. The network helps show where Lee-may Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011395
2 2005287
3 2004285
4 2017210
5 2014208
6 2017192
7 2011122
8 2014105
9 2017103
10 201683
11 201182
12 201482
13 201977
14 200976
15 201963
16 201858
17 201256
18 201452
19 202048
20 201148

About Lee-may Chen

Lee-may Chen is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Oncology, Genetics and Surgery, having authored 112 papers that have together received 3.6k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (27 papers), Endometrial and Cervical Cancer Treatments (23 papers), BRCA gene mutations in cancer (15 papers), PARP inhibition in cancer therapy (9 papers), Cancer survivorship and care (8 papers), Genetic factors in colorectal cancer (8 papers), Maternal and fetal healthcare (6 papers) and Cervical Cancer and HPV Research (5 papers). The work is most often cited by research in Reproductive Medicine (1.3k citations), Obstetrics and Gynecology (821 citations), Oncology (1.1k citations), Pathology and Forensic Medicine (495 citations) and Genetics (614 citations). Lee-may Chen has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include C. Bethan Powell, Charles Zaloudek, Joseph T. Rabban, Jocelyn Chapman, Jane McLennan, Debra L. Richardson, Johnathan M. Lancaster, John L. Ziegler, Namita Khanna and Ritu Salani. Their work appears in journals such as Gynecologic Oncology, Journal of Clinical Oncology, The American Journal of Surgical Pathology, Obstetrics and Gynecology and Obstetrical & Gynecological Survey.

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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