Da Young Lee

3.1k citations
135 papers · 2.3k · h-index 29

Impact in

Papers in

Da Young Lee

134 papers receiving 2.2k citations

Peers

Da Young Lee
Comparison fields: 5 of 146
  • Endocrinology, Diabetes and Metabolism 412
  • Complementary and alternative medicine 153
  • Pharmacology 139
  • Pharmacology 259
  • Biochemistry 96
Replace Umesh C. S. Yadav with:
Umesh C. S. Yadav India
Yonggang Wang China
Hong Ding China
Mohammad Taghi Goodarzi Iran
Yanfei Liu China
Sudipta Saha India
Ciro Costagliola Italy
Jaipaul Singh United Kingdom
Arun Kumar India
Hiroshi Ichikawa Japan
Da Young Lee relative to Umesh C. S. Yadav India Umesh C. S. Yadav's profile →
Citations per field
00.5×1.5×
Umesh C. S. Yadav · 1×
Citations per year

Countries citing papers authored by Da Young Lee

Since Specialization
Citations

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

Fields of papers citing papers by Da Young Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201697
2 201973
3 202258
4 201451
5 201949
6 201948
7 201946
8 201843
9 201842
10 201842
11 202041
12 201741
13 201837
14 201936
15 199736
16 202035
17 201734
18 201734
19 201633
20 201732

About Da Young Lee

Da Young Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology, Pathology and Forensic Medicine and Pharmacology, having authored 135 papers that have together received 2.3k indexed citations. Recurring topics across this work include Chemotherapy-induced organ toxicity mitigation (14 papers), Fungal Biology and Applications (12 papers), Liver Disease Diagnosis and Treatment (6 papers), Diabetes Management and Research (6 papers), Phytochemistry and Bioactivity Studies (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Natural Antidiabetic Agents Studies (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (412 citations), Complementary and alternative medicine (153 citations), Pharmacology (139 citations), Pharmacology (259 citations) and Biochemistry (96 citations). Da Young Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Ki Sung Kang, Ki Hyun Kim, Cheol‐Young Park, Won‐Young Lee, Eun‐Jung Rhee, Ji Hee Yu, Nan Hee Kim, Ji A Seo, Se Eun Park and Seulah Lee. Their work appears in journals such as International Journal of Molecular Sciences, Bioorganic & Medicinal Chemistry Letters, Diabetes & Metabolism Journal, Molecules and Plants.

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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