Lee-may Chen

6.0k citations
110 papers · 3.4k indexed · h-index 30

Lee-may Chen

103 papers receiving 3.3k citations

Peers

Lee-may Chen
Comparison fields: 5 of 119
  • Reproductive Medicine 1.5k
  • Obstetrics and Gynecology 924
  • Oncology 1.3k
  • Pathology and Forensic Medicine 537
  • Genetics 763
Replace Matthew Burnell with:
Matthew Burnell United Kingdom
Ritu Salani United States
Annette Hasenburg Germany
Walter H. Gotlieb Canada
Janice S. Kwon Canada
Arlan F. Fuller United States
Susan C. Modesitt United States
Sarah E. Ferguson Canada
Bengt Sorbe Sweden
Marian J.E. Mourits Netherlands
Lee-may Chen relative to Matthew Burnell United Kingdom Matthew Burnell's profile →
Citations per field
00.5×3.1×
Matthew Burnell · 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-authorship network

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
#Work
1 20250
2 20250
3 20243
4 20242
5 20235
6 20230
7 20220
8 20221
9 20212
10 20204
11 202031
12 20181
13 201840
14 2017186
15 20168
16 2014193
17 2011378
18 201178
19 200931
20 2005251

About Lee-may Chen

Lee-may Chen is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Oncology, Anesthesiology and Pain Medicine and Pediatrics, Perinatology and Child Health, having authored 110 papers that have together received 3.4k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (38 papers), Endometrial and Cervical Cancer Treatments (26 papers), BRCA gene mutations in cancer (21 papers), PARP inhibition in cancer therapy (11 papers), Cervical Cancer and HPV Research (11 papers), Genetic factors in colorectal cancer (11 papers), Uterine Myomas and Treatments (9 papers) and Cancer Genomics and Diagnostics (8 papers). The work is most often cited by research in Reproductive Medicine (1.5k citations), Obstetrics and Gynecology (924 citations), Oncology (1.3k citations), Pathology and Forensic Medicine (537 citations) and Genetics (763 citations). Lee-may Chen has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include C. Bethan Powell, Charles Zaloudek, Joseph T. Rabban, Jocelyn Chapman, Johnathan M. Lancaster, Jane McLennan, Debra L. Richardson, John L. Ziegler, Ritu Salani and Robert E. Bristow. Their work appears in journals such as Gynecologic Oncology, Journal of Clinical Oncology, The American Journal of Surgical Pathology, Obstetrical & Gynecological Survey and Brachytherapy.

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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