Yea Eun Kang

1.9k total citations
77 papers, 1.3k citations indexed

About

Yea Eun Kang is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology. According to data from OpenAlex, Yea Eun Kang has authored 77 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Endocrinology, Diabetes and Metabolism, 24 papers in Molecular Biology and 16 papers in Physiology. Recurrent topics in Yea Eun Kang's work include Thyroid Cancer Diagnosis and Treatment (20 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers) and Thyroid and Parathyroid Surgery (8 papers). Yea Eun Kang is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (20 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers) and Thyroid and Parathyroid Surgery (8 papers). Yea Eun Kang collaborates with scholars based in South Korea, United States and Ethiopia. Yea Eun Kang's 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∥ and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Oncogene.

In The Last Decade

Yea Eun Kang

73 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yea Eun Kang South Korea 18 438 387 306 282 178 77 1.3k
Guangda Xiang China 19 432 1.0× 369 1.0× 221 0.7× 132 0.5× 108 0.6× 46 1.1k
Hannes M. Findeisen Germany 23 573 1.3× 333 0.9× 201 0.7× 184 0.7× 506 2.8× 40 1.7k
Florian Kahles Germany 21 430 1.0× 209 0.5× 172 0.6× 380 1.3× 343 1.9× 53 1.4k
Andrzej Ciechanowicz Poland 21 411 0.9× 195 0.5× 199 0.7× 164 0.6× 171 1.0× 156 1.6k
Henning Gohlke Germany 15 397 0.9× 369 1.0× 330 1.1× 179 0.6× 109 0.6× 25 1.4k
Michael J. Kraakman Australia 17 456 1.0× 419 1.1× 546 1.8× 202 0.7× 413 2.3× 29 1.5k
Tetsuya Hosooka Japan 21 820 1.9× 470 1.2× 299 1.0× 156 0.6× 137 0.8× 44 1.5k
Flavia Agata Cimini Italy 20 287 0.7× 332 0.9× 614 2.0× 353 1.3× 87 0.5× 55 1.3k
Gila Idelman United States 15 469 1.1× 283 0.7× 216 0.7× 139 0.5× 107 0.6× 22 1.2k
Nuri Çakır Türkiye 21 255 0.6× 185 0.5× 219 0.7× 363 1.3× 221 1.2× 58 1.4k

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-authorship network of co-authors of Yea Eun Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Yea Eun Kang. A scholar is included among the top collaborators of Yea Eun Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yea Eun Kang. Yea Eun Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
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Tian, Si-Cong, et al.. (2024). Improving insulin resistance by sulforaphane via activating the Bacteroides and Lactobacillus SCFAs–GPR–GLP1 signal axis. Food & Function. 15(17). 8644–8660. 23 indexed citations
3.
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Kang, Da Hyun, et al.. (2023). Toward Systems-Level Metabolic Analysis in Endocrine Disorders and Cancer. Endocrinology and Metabolism. 38(6). 619–630. 1 indexed citations
5.
Song, Mi‐Kyung, Jung Tae Kim∥, Yea Eun Kang, et al.. (2023). GDF10 is related to obesity as an adipokine derived from subcutaneous adipose tissue. Frontiers in Endocrinology. 14. 1159515–1159515. 1 indexed citations
6.
Chung, Hyun Kyung, Eu Jeong Ku, Won Sang Yoo, et al.. (2023). 2023 Korean Thyroid Association Management Guidelines for Patients with Subclinical Hypothyroidism. 16(2). 214–215. 1 indexed citations
7.
Kang, Yea Eun, Sun Kyoung You, Seong Eun Lee, et al.. (2023). Hepatic T-cell senescence and exhaustion are implicated in the progression of fatty liver disease in patients with type 2 diabetes and mouse model with nonalcoholic steatohepatitis. Cell Death and Disease. 14(9). 618–618. 17 indexed citations
8.
Jin, Yanli, Seung‐Nam Jung, Mi Ae Lim, et al.. (2022). SHMT2 Induces Stemness and Progression of Head and Neck Cancer. International Journal of Molecular Sciences. 23(17). 9714–9714. 11 indexed citations
9.
10.
Kang, Yea Eun, Jeong‐Hwan Kim, Jong‐Lyul Park, et al.. (2022). Transcriptomic Analysis of Papillary Thyroid Cancer: A Focus on Immune-Subtyping, Oncogenic Fusion, and Recurrence. Clinical and Experimental Otorhinolaryngology. 15(2). 183–193. 10 indexed citations
11.
Chung, Chaeuk, Dongil Park, Song‐I Lee, et al.. (2022). Plasma GDF15 levels associated with circulating immune cells predict the efficacy of PD-1/PD-L1 inhibitor treatment and prognosis in patients with advanced non-small cell lung cancer. Journal of Cancer Research and Clinical Oncology. 149(1). 159–171. 12 indexed citations
12.
Won, Ho-Ryun, Eon Ju Jeon, Jae Won Chang, et al.. (2022). Age-Dependent Clinicopathological Characteristics of Patients with T1b Papillary Thyroid Carcinoma: Implications for the Possibility of Active Surveillance. Annals of Surgical Oncology. 30(4). 2246–2253. 4 indexed citations
13.
Jung, Seung‐Nam, Chan Oh, Jae Won Chang, et al.. (2021). EGR1/GADD45α Activation by ROS of Non-Thermal Plasma Mediates Cell Death in Thyroid Carcinoma. Cancers. 13(2). 351–351. 18 indexed citations
14.
Jin, Meihua, Eun Sook Kim, Bo Hyun Kim, et al.. (2021). Clinicopathological Characteristics and Disease-Free Survival in Patients with Hürthle Cell Carcinoma: A Multicenter Cohort Study in South Korea. Endocrinology and Metabolism. 36(5). 1078–1085. 7 indexed citations
15.
Oh, Chan, Ho-Ryun Won, Woo Seok Kang, et al.. (2021). Head and Neck Cancer Cell Death due to Mitochondrial Damage Induced by Reactive Oxygen Species from Nonthermal Plasma‐Activated Media: Based on Transcriptomic Analysis. Oxidative Medicine and Cellular Longevity. 2021(1). 9951712–9951712. 7 indexed citations
16.
Jeon, Min Ji, Yea Eun Kang, Jae Hoon Moon, et al.. (2021). Protocol for a Korean Multicenter Prospective Cohort Study of Active Surveillance or Surgery (KoMPASS) in Papillary Thyroid Microcarcinoma. Endocrinology and Metabolism. 36(2). 359–364. 17 indexed citations
17.
Jin, Yanli, Seung‐Nam Jung, Mi Ae Lim, et al.. (2021). Transcriptional Regulation of GDF15 by EGR1 Promotes Head and Neck Cancer Progression through a Positive Feedback Loop. International Journal of Molecular Sciences. 22(20). 11151–11151. 15 indexed citations
18.
Lee, Ju Hee, Saet-Byel Jung, Seong Eun Lee, et al.. (2021). Expression of LONP1 Is High in Visceral Adipose Tissue in Obesity, and Is Associated with Glucose and Lipid Metabolism. Endocrinology and Metabolism. 36(3). 661–671. 11 indexed citations
19.
Kang, Yea Eun, Jin‐Man Kim, Mi Ae Lim, et al.. (2020). Growth Differentiation Factor 15 is a Cancer Cell-Induced Mitokine That Primes Thyroid Cancer Cells for Invasiveness. Thyroid. 31(5). 772–786. 34 indexed citations
20.
Kang, Yea Eun, Jin‐Ok Jeong, Kyung‐Hee Kim, Chang‐Seok Ki, & Hyun Jin Kim. (2017). Malignant intercostal psammomatous melanotic schwannoma in a patient with Carney complex. The Korean Journal of Internal Medicine. 33(6). 1256–1257. 4 indexed citations

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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