Chan Lee

2.0k citations
74 papers · 1.4k · h-index 23

Impact in

Papers in

Chan Lee

69 papers receiving 1.4k citations

Peers

Chan Lee
Comparison fields: 5 of 109
  • Obstetrics and Gynecology 260
  • Reproductive Medicine 224
  • Cancer Research 186
  • Oncology 187
  • Biological Psychiatry 16
Replace Thomas Buekers with:
Thomas Buekers United States
Panagiotis Christopoulos Greece
Thomas Vrekoussis Greece
Alexander Strauß Germany
Mei Zhong China
Nina Ditsch Germany
Koen De Geest United States
Rachel Peragallo Urrutia United States
A. E. Schindler Germany
Yangyu Zhao China
Chan Lee relative to Thomas Buekers United States Thomas Buekers's profile →
Citations per field
00.5×1.5×1.8×
Thomas Buekers · 1×
Citations per year

Countries citing papers authored by Chan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003114
2 201798
3 200986
4 200871
5 201070
6 201362
7 201348
8 201146
9 200236
10 201935
11 200335
12 200835
13 201433
14 201431
15 201830
16 200929
17 201028
18 201726
19 201525
20 201525

About Chan Lee

Chan Lee is a scholar working on Reproductive Medicine, Oncology, Obstetrics and Gynecology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (8 papers), Endometriosis Research and Treatment (7 papers), Gestational Trophoblastic Disease Studies (7 papers), Endometrial and Cervical Cancer Treatments (6 papers), Uterine Myomas and Treatments (6 papers), Genetic factors in colorectal cancer (5 papers), Cancer-related molecular mechanisms research (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Obstetrics and Gynecology (260 citations), Reproductive Medicine (224 citations), Cancer Research (186 citations), Oncology (187 citations) and Biological Psychiatry (16 citations). Chan Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sang Geun Jung, Hyun Park, Min Chul Choi, Hee Jung An, Seung Jo Kim, Kyoung Ah Kim, Won Duk Joo, Robert Wesolowski, Richard Kim and Jung‐Hee Jang. Their work appears in journals such as International Journal of Gynecological Cancer, Gynecologic Oncology, Cancers, Photodiagnosis and Photodynamic Therapy and Fertility and Sterility.

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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