Eun‐Ae Shin

768 total citations · 1 hit paper
16 papers, 530 citations indexed

About

Eun‐Ae Shin is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Eun‐Ae Shin has authored 16 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Eun‐Ae Shin's work include Liver Disease Diagnosis and Treatment (7 papers), Pelvic floor disorders treatments (2 papers) and Anorectal Disease Treatments and Outcomes (2 papers). Eun‐Ae Shin is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Pelvic floor disorders treatments (2 papers) and Anorectal Disease Treatments and Outcomes (2 papers). Eun‐Ae Shin collaborates with scholars based in South Korea, Ethiopia and Puerto Rico. Eun‐Ae Shin's co-authors include Sang‐Min Jeon, Sang Eun Lee, Eun‐Mi Kim, Ji Eon Kim, Jae Woo Jung, Semi Kim, Seo Hee Nam, Hye-Jin Lee, Dae‐Geun Song and Chi Heon Kim and has published in prestigious journals such as Scientific Reports, Cellular and Molecular Life Sciences and Archives of Biochemistry and Biophysics.

In The Last Decade

Eun‐Ae Shin

14 papers receiving 521 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exploring vitamin D metabolism and function in cancer

2018 369 citations Sang‐Min Jeon, Eun‐Ae Shin Experimental & Molecular Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eun‐Ae Shin South Korea	9	268	126	87	84	82	16	530
Chang Chu China	16	121 0.5×	124 1.0×	40 0.5×	50 0.6×	50 0.6×	41	540
Shogo Kato Japan	10	194 0.7×	116 0.9×	79 0.9×	28 0.3×	63 0.8×	14	454
Seung Joo Chon South Korea	16	105 0.4×	191 1.5×	43 0.5×	34 0.4×	35 0.4×	54	869
Ulises De la Cruz-Mosso Mexico	13	132 0.5×	62 0.5×	60 0.7×	35 0.4×	49 0.6×	42	539
Leonid Bartik United States	6	388 1.4×	178 1.4×	38 0.4×	50 0.6×	152 1.9×	7	648
Olivia Trummer Austria	14	183 0.7×	221 1.8×	20 0.2×	65 0.8×	63 0.8×	28	700
Masayuki Sakiyama Japan	14	139 0.5×	203 1.6×	85 1.0×	72 0.9×	27 0.3×	27	591
Metin Özgen Türkiye	14	128 0.5×	209 1.7×	119 1.4×	50 0.6×	21 0.3×	59	690
Hüseyin Kayadibi Türkiye	13	58 0.2×	152 1.2×	170 2.0×	72 0.9×	53 0.6×	51	559
Takeshi Mizukami Japan	17	401 1.5×	186 1.5×	267 3.1×	120 1.4×	36 0.4×	59	855

Countries citing papers authored by Eun‐Ae Shin

Since Specialization

Citations

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

Fields of papers citing papers by Eun‐Ae Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun‐Ae Shin. 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 Eun‐Ae Shin. The network helps show where Eun‐Ae Shin may publish in the future.

Co-authorship network of co-authors of Eun‐Ae Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Ae Shin. A scholar is included among the top collaborators of Eun‐Ae Shin 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 Eun‐Ae Shin. Eun‐Ae Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Kim, Ji Eon, Eun‐Ae Shin, Wonsik Kim, et al.. (2025). Hepatocyte TM4SF5-mediated cytosolic NCOA3 stabilization and macropinocytosis support albumin uptake and bioenergetics for hepatocellular carcinoma progression. Experimental & Molecular Medicine. 57(4). 836–855.

Shin, Eun‐Ae, et al.. (2024). Association between hepatocyte TM4SF5 expression and gut microbiome dysbiosis during non-alcoholic fatty liver disease development. Life Sciences. 358. 123164–123164. 1 indexed citations

Kim, Ji Eon, So‐Young Park, Chulhwan Kwak, et al.. (2023). Glucose‐mediated mitochondrial reprogramming by cholesterol export at TM4SF5‐enriched mitochondria‐lysosome contact sites. Cancer Communications. 44(1). 47–75. 6 indexed citations

Lee, Yong Sang, Eun‐Ae Shin, Ji Eon Kim, et al.. (2023). TM4SF5-mediated abnormal food-intake behavior and apelin expression facilitate non-alcoholic fatty liver disease features. iScience. 26(9). 107625–107625. 1 indexed citations

Shin, Eun‐Ae, et al.. (2023). Anatomic Criterion for Clinically Relevant Apical Prolapse in Urogynecology Populations. Urogynecology. 29(11). 860–864.

Kang, Min‐Kyung, Jihye Ryu, Ji Eon Kim, et al.. (2022). Systemic TM4SF5 overexpression in Apc^Min/+ mice promotes hepatic portal hypertension associated with fibrosis. BMB Reports. 55(12). 609–614. 3 indexed citations

Kim, Eun‐Mi, Eun‐Ae Shin, Seo Hee Nam, et al.. (2022). Therapeutic effects of TM4SF5-targeting chimeric and humanized monoclonal antibodies in hepatocellular and colon cancer models. Molecular Therapy — Oncolytics. 24. 452–466. 6 indexed citations

Jung, Jae Woo, Ji Eon Kim, Eun‐Mi Kim, et al.. (2022). Liver‐originated small extracellular vesicles with TM4SF5 target brown adipose tissue for homeostatic glucose clearance. Journal of Extracellular Vesicles. 11(9). e12262–e12262. 19 indexed citations

Kim, Eun‐Mi, Eun‐Ae Shin, Jong Cheol Shon, et al.. (2022). Crosstalk between TM4SF5 and GLUT8 regulates fructose metabolism in hepatic steatosis. Molecular Metabolism. 58. 101451–101451. 13 indexed citations

10.

Kim, Eun‐Mi, Jihye Ryu, Hye-Jin Lee, et al.. (2021). TM4SF5-mediated liver malignancy involves NK cell exhaustion-like phenotypes. Cellular and Molecular Life Sciences. 79(1). 49–49. 18 indexed citations

11.

Shin, Eun‐Ae, et al.. (2021). Comparison of treatment outcomes for native tissue repair and sacrocolpopexy as apical suspension procedures at the time of hysterectomy for uterine prolapse. Scientific Reports. 11(1). 3119–3119. 8 indexed citations

12.

Kim, Eun‐Mi, Jinsoo Park, Jae Woo Jung, et al.. (2021). TM4SF5-dependent crosstalk between hepatocytes and macrophages to reprogram the inflammatory environment. Cell Reports. 37(7). 110018–110018. 22 indexed citations

13.

Kim, Eun‐Mi, et al.. (2021). Tetraspanin TM4SF5 in hepatocytes negatively modulates SLC27A transporters during acute fatty acid supply. Archives of Biochemistry and Biophysics. 710. 109004–109004. 9 indexed citations

14.

Ryu, Jihye, Eun‐Mi Kim, Minkyung Kang, et al.. (2020). Differential TM4SF5 ‐mediated SIRT1 modulation and metabolic signaling in nonalcoholic steatohepatitis progression. The Journal of Pathology. 253(1). 55–67. 22 indexed citations

15.

Jeon, Sang‐Min & Eun‐Ae Shin. (2018). Exploring vitamin D metabolism and function in cancer. Experimental & Molecular Medicine. 50(4). 1–14. 369 indexed citations breakdown →

16.

Shin, Eun‐Ae, et al.. (2016). Sagittal imbalance in patients with lumbar spinal stenosis and outcomes after simple decompression surgery. The Spine Journal. 17(2). 175–182. 33 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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