Yea Eun Kang

2.0k citations
77 papers · 1.4k · h-index 18

Impact in

Papers in

Yea Eun Kang

74 papers receiving 1.4k citations

Peers

Yea Eun Kang
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 257
  • Physiology 332
  • Rheumatology 132
  • Epidemiology 247
  • Immunology 146
Replace Koon Soon Kim with:
Koon Soon Kim South Korea
Yi Pan Canada
Ilaria Barchetta Italy
Tetsuya Hosooka Japan
Florian Kahles Germany
Emil D. Bartels Denmark
Flavia Agata Cimini Italy
Jinrui Cui United States
Michael J. Kraakman Australia
Xinhua Xiao China
Yea Eun Kang relative to Koon Soon Kim South Korea Koon Soon Kim's profile →
Citations per field
00.5×2×4×5.2×
Koon Soon Kim · 1×
Citations per year

Countries citing papers authored by Yea Eun Kang

Since Specialization
Citations

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

Fields of papers citing papers by Yea Eun Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016252
2
An engineered FGF21 variant, LY2405319, can prevent non-alcoholic steatohepatitis by enhancing hepatic mitochondrial function.
201688
3 201983
4 201761
5 202160
6 201654
7 201642
8 201641
9 201637
10 202035
11 202429
12 201928
13 201225
14 201824
15 201223
16 201723
17 202319
18 202118
19 202117
20 201517

About Yea Eun Kang

Yea Eun Kang is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Genetics and Epidemiology, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (17 papers), Adipose Tissue and Metabolism (6 papers), GDF15 and Related Biomarkers (6 papers), Thyroid Disorders and Treatments (6 papers), Nutrition and Health in Aging (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Epigenetics and DNA Methylation (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (257 citations), Physiology (332 citations), Rheumatology (132 citations), Epidemiology (247 citations) and Immunology (146 citations). Yea Eun Kang has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Hyun Jin Kim, Ju Hee Lee, Minho Shong, Bon Jeong Ku, Kyong Hye Joung, Ji Min Kim, Hyon‐Seung Yi, Koon Soon Kim, Junguee Lee and Jung Tae Kim∥. Their work appears in journals such as International Journal of Molecular Sciences, Diabetes & Metabolism Journal, Frontiers in Endocrinology, Cancers and Diabetes Research and Clinical Practice.

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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