Ji Eun Lee

2.8k citations
140 papers · 2.1k · h-index 25

Impact in

Papers in

    • Diabetes Management and Research 12
    • Growth Hormone and Insulin-like Growth Factors 9
    • Diabetes and associated disorders 8
    • Genomics and Rare Diseases 7
    • Genetic Syndromes and Imprinting 6

Ji Eun Lee

131 papers receiving 2.0k citations

Peers

Ji Eun Lee
Comparison fields: 5 of 145
  • Renewable Energy, Sustainability and the Environment 277
  • Endocrinology, Diabetes and Metabolism 245
  • Reproductive Medicine 99
  • Pathology and Forensic Medicine 188
  • Obstetrics and Gynecology 62
Replace Fei Gao with:
Fei Gao China
Zhi Chen China
Jianbo Wu China
Sanjiv Dhingra Canada
Yulong Zhang China
Jianqing Wang China
Min-Hee Kang South Korea
Jun‐ichi Ogawa Japan
Atsushi Takenaka Japan
Leigh A. Madden United Kingdom
Ji Eun Lee relative to Fei Gao China Fei Gao's profile →
Citations per field
00.5×2×2.8×
Fei Gao · 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 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201694
2 200487
3 201579
4 200777
5 201777
6 201574
7 201170
8 200367
9 201664
10 202161
11 200661
12 201546
13 201841
14 202040
15 201638
16 201137
17 201336
18 201835
19 201732
20 201930

About Ji Eun Lee

Ji Eun Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Reproductive Medicine, Rheumatology and Pathology and Forensic Medicine, having authored 140 papers that have together received 2.1k indexed citations. Recurring topics across this work include Diabetes Management and Research (12 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Diabetes and associated disorders (8 papers), Genomics and Rare Diseases (7 papers), Pancreatic function and diabetes (6 papers), Sexual Differentiation and Disorders (6 papers), Genetic Syndromes and Imprinting (6 papers) and Iron Metabolism and Disorders (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (277 citations), Endocrinology, Diabetes and Metabolism (245 citations), Reproductive Medicine (99 citations), Pathology and Forensic Medicine (188 citations) and Obstetrics and Gynecology (62 citations). Ji Eun Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Dong-Wha Park, Wan In Lee, Seung-Min Oh, Sandipan Bera, Sher Bahadur Rawal, Yong Hee Hong, Soon Ki Kim, Piera Smeriglio, Nidhi Bhutani and Sunmin Park. Their work appears in journals such as Korean Journal of Pediatrics, Journal of Korean Medical Science, Cancer Letters, Medicine and Thin Solid Films.

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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