Ji Eun Lee

808 citations
26 papers · 545 · h-index 13

Impact in

Papers in

    • Pancreatic function and diabetes 3
    • Vascular Malformations and Hemangiomas 2
    • Metabolism, Diabetes, and Cancer 3

Ji Eun Lee

25 papers receiving 536 citations

Peers

Ji Eun Lee
Comparison fields: 5 of 89
  • Reproductive Medicine 41
  • Genetics 49
  • Neurology 58
  • Epidemiology 118
  • Surgery 152
Replace Sebastian Koob with:
Sebastian Koob Germany
Jerry Krcek Canada
Ana Helena da Rosa Paz Brazil
Ronald D. Ellis Saudi Arabia
Ting Tian China
Jorge Sanz‐Ros Spain
Weihong Zhao China
Aimei Song China
Laura Berta Italy
Ji Eun Lee relative to Sebastian Koob Germany Sebastian Koob's profile →
Citations per field
00.5×4.6×
Sebastian Koob · 1×
Citations per year

Countries citing papers authored by Ji Eun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ji Eun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201688
2 201573
3 201361
4 200754
5 201449
6 201643
7 201337
8 201026
9 201715
10 202113
11 202012
12 200712
13 201512
14 20068
15 20058
16 20066
17 20106
18 20115
19 20145
20 20154

About Ji Eun Lee

Ji Eun Lee is a scholar working on Surgery, Molecular Biology, Epidemiology, Neurology and Obstetrics and Gynecology, having authored 26 papers that have together received 545 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Pancreatic function and diabetes (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Tumors and Oncological Cases (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Hypothalamic control of reproductive hormones (2 papers) and Vascular Malformations and Hemangiomas (2 papers). The work is most often cited by research in Reproductive Medicine (41 citations), Genetics (49 citations), Neurology (58 citations), Epidemiology (118 citations) and Surgery (152 citations). Ji Eun Lee has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Sang Mee Hong, Sunmin Park, Eui‐Ju Choi, Jin Hee Shin, Young Bin Choy, Chun Gwon Park, Chan Yeong Heo, Min Hee Park, Byung Hwi Kim and Myung Hun Kim. Their work appears in journals such as Nature Communications, Journal of Controlled Release, Molecular Therapy, Diabetes and Korean journal of anesthesiology.

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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