Yea Eun Kang

73 papers receiving 1.3k citations

Peers

Yea Eun Kang
Comparison fields: 5 of 111
  • Endocrinology, Diabetes and Metabolism 282
  • Physiology 387
  • Rheumatology 138
  • Epidemiology 306
  • Immunology 178
Replace Tetsuya Hosooka with:
Tetsuya Hosooka Japan
Guangda Xiang China
Hannes M. Findeisen Germany
Rivka Dresner–Pollak Israel
Flavia Agata Cimini Italy
Michael J. Kraakman Australia
Tomasz Wietecha United States
Song‐Yang Zhang China
Florian Kahles Germany
Hisao Wakasaki Japan
Yea Eun Kang relative to Tetsuya Hosooka Japan Tetsuya Hosooka's profile →
Citations per field
00.5×2.7×
Tetsuya Hosooka · 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 2016241
2
An engineered FGF21 variant, LY2405319, can prevent non-alcoholic steatohepatitis by enhancing hepatic mitochondrial function.
201687
3 201977
4 202157
5 201757
6 201650
7 201641
8 201641
9 201637
10 202034
11 201928
12 201225
13 202423
14 201823
15 201222
16 201722
17 202118
18 202117
19 202317
20 201516

About Yea Eun Kang

Yea Eun Kang is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Surgery and Epidemiology, having authored 77 papers that have together received 1.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (20 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Thyroid and Parathyroid Surgery (8 papers), Nutrition and Health in Aging (7 papers), Thyroid Disorders and Treatments (7 papers), Adipose Tissue and Metabolism (7 papers), GDF15 and Related Biomarkers (6 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (282 citations), Physiology (387 citations), Rheumatology (138 citations), Epidemiology (306 citations) and Immunology (178 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, Cancers, Frontiers in Endocrinology and Journal of Korean Medical Science.

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.

Explore authors with similar magnitude of impact