Chan Hee Lee

789 citations
35 papers · 589 · h-index 14

Impact in

Papers in

Chan Hee Lee

35 papers receiving 585 citations

Peers

Chan Hee Lee
Comparison fields: 5 of 77
  • Endocrine and Autonomic Systems 125
  • Geriatrics and Gerontology 46
  • Biological Psychiatry 29
  • Aging 17
  • Neurology 73
Replace Gil Myoung Kang with:
Gil Myoung Kang South Korea
Enrique Luengo Spain
Daoyuan Lu China
Kosara Smiljanić Serbia
Maria A. Costa-Besada Spain
Siyue Li China
Carola Rotermund Germany
Robby Zachariah Tom Sweden
Santosh Ramamurthy United States
Juvenal A. Ríos Chile
Chan Hee Lee relative to Gil Myoung Kang South Korea Gil Myoung Kang's profile →
Citations per field
00.5×1.5×
Gil Myoung Kang · 1×
Citations per year

Countries citing papers authored by Chan Hee Lee

Since Specialization
Citations

This map shows the geographic impact of Chan Hee 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 Hee 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 Hee Lee more than expected).

Fields of papers citing papers by Chan Hee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201883
2 202179
3 202049
4 202047
5 200940
6 202230
7 201822
8 201821
9 202221
10 201819
11 201919
12 202318
13 201417
14 202217
15 202414
16 202414
17 202210
18 20229
19 20249
20 20238

About Chan Hee Lee

Chan Hee Lee is a scholar working on Endocrine and Autonomic Systems, Neurology, Physiology, Geriatrics and Gerontology and Cancer Research, having authored 35 papers that have together received 589 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (9 papers), Adipose Tissue and Metabolism (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Diet and metabolism studies (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Pancreatic function and diabetes (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (125 citations), Geriatrics and Gerontology (46 citations), Biological Psychiatry (29 citations), Aging (17 citations) and Neurology (73 citations). Chan Hee Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Min‐Seon Kim, Gil Myoung Kang, Rina Yu, Hongryeol Park, Kyoungho Suk, Obin Kwon, Do Kyeong Song, Eun Roh, Se Hee Min and Jong‐Woo Sohn. Their work appears in journals such as Diabetes & Metabolism Journal, BMB Reports, Nature Communications, Journal of Neuroinflammation and Diabetes.

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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