Hyemi Shin

422 total citations
11 papers, 247 citations indexed

About

Hyemi Shin is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Hyemi Shin has authored 11 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Cell Biology. Recurrent topics in Hyemi Shin's work include Glycosylation and Glycoproteins Research (2 papers), Glioma Diagnosis and Treatment (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). Hyemi Shin is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Glioma Diagnosis and Treatment (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). Hyemi Shin collaborates with scholars based in South Korea, Puerto Rico and United States. Hyemi Shin's co-authors include Jae Myoung Suh, Hee‐Won Jung, Jeesoo Kim, Hyun‐Woo Rhee, Doo‐Sik Kong, Isaac Park, Jong‐Seo Kim, Myeong‐Gyun Kang, Do‐Hyun Nam and Jung-Il Lee and has published in prestigious journals such as Nature Communications, Nature Cell Biology and Scientific Reports.

In The Last Decade

Hyemi Shin

11 papers receiving 246 citations

Peers

Hyemi Shin

MB

RNMI

GENET

CB

PHYSI

Renan Paulo Martin Brazil

Anjana Patel United Kingdom

Seden Grippon United States

Joanna Trubicka Poland

Niels Wedemeyer Germany

Mario Buono United Kingdom

Ashley Mackey United States

Jan-Rung Mo United States

Maja Sirotković-Skerlev Croatia

Hajime Nishimoto Japan

Renan Paulo Martin Brazil

Hyemi Shin

172 ×1.6

MB

26 ×0.5

RNMI

76 ×1.7

GENET

23 ×0.5

CB

30 ×0.9

PHYSI

Citations per year, relative to Hyemi Shin Hyemi Shin (= 1×) peers Renan Paulo Martin

Countries citing papers authored by Hyemi Shin

Since Specialization

Citations

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

Fields of papers citing papers by Hyemi Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyemi Shin

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

All Works

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11 of 11 papers shown

1.

Shin, Hyemi, et al.. (2025). Analysis of anxiety and pain in patients undergoing immediate sequential bilateral cataract surgery or unilateral cataract surgery. Scientific Reports. 15(1). 3971–3971. 1 indexed citations

2.

Kim, Hee‐Hoon, Ha‐Neul Kim, Keungmo Yang, et al.. (2023). xCT-mediated glutamate excretion in white adipocytes stimulates interferon-γ production by natural killer cells in obesity. Cell Reports. 42(6). 112636–112636. 7 indexed citations

3.

Lee, Hyunkyu, Hyemi Shin, & Sehyun Baek. (2023). Effects of Orbicularis Oculi Flap Suspension on Transcutaneous Lower Blepharoplasty. Journal of Craniofacial Surgery. 35(1). 46–48. 1 indexed citations

4.

Park, Isaac, Jeesoo Kim, Myeong‐Gyun Kang, et al.. (2021). Dynamic tracking and identification of tissue-specific secretory proteins in the circulation of live mice. Nature Communications. 12(1). 5204–5204. 64 indexed citations

5.

Shin, Hyemi, Wonbeak Yoo, Eunsung Jun, et al.. (2021). Tumour-derived Dilp8/INSL3 induces cancer anorexia by regulating feeding neuropeptides via Lgr3/8 in the brain. Nature Cell Biology. 23(2). 172–183. 45 indexed citations

6.

Han, Suji, Hyemi Shin, Jin‐Ku Lee, et al.. (2019). Secretome analysis of patient-derived GBM tumor spheres identifies midkine as a potent therapeutic target. Experimental & Molecular Medicine. 51(12). 1–11. 45 indexed citations

7.

Lee, Min Ho, Junhyung Kim, Sungtae Kim, et al.. (2019). Prediction of IDH1 Mutation Status in Glioblastoma Using Machine Learning Technique Based on Quantitative Radiomic Data. World Neurosurgery. 125. e688–e696. 37 indexed citations

8.

Lee, Mijeong, Yeon-Soo Kim, Kyoungmin Lee, et al.. (2019). Novel Semi-Replicative Retroviral Vector Mediated Double Suicide Gene Transfer Enhances Antitumor Effects in Patient-Derived Glioblastoma Models. Cancers. 11(8). 1090–1090. 6 indexed citations

9.

Shin, Hyemi, Jin‐Ku Lee, Zhaoqi Liu, et al.. (2019). Secretome analysis of patient-derived GBM tumor spheres identiﬁes midkine as a potent therapeutic target. 1 indexed citations

10.

Jung, Hee‐Won, et al.. (2019). Systemic and Local Phenotypes of Barium Chloride Induced Skeletal Muscle Injury in Mice. Annals of Geriatric Medicine and Research. 23(2). 83–89. 18 indexed citations

11.

Kim, Byoung Hyuck, et al.. (2018). Synergistic actions of FGF2 and bone marrow transplantation mitigate radiation-induced intestinal injury. Cell Death and Disease. 9(3). 383–383. 22 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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