Hye–Jun Shin

526 total citations
10 papers, 439 citations indexed

About

Hye–Jun Shin is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Hye–Jun Shin has authored 10 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Epidemiology and 2 papers in Hepatology. Recurrent topics in Hye–Jun Shin's work include Hepatitis B Virus Studies (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Glutathione Transferases and Polymorphisms (2 papers). Hye–Jun Shin is often cited by papers focused on Hepatitis B Virus Studies (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Glutathione Transferases and Polymorphisms (2 papers). Hye–Jun Shin collaborates with scholars based in South Korea, United States and China. Hye–Jun Shin's co-authors include Dae‐Yeul Yu, Kook Hwan Kim, Sang Hoon Rhee, Ung Suk Yang, Hyun Mi Choi, JaeHun Cheong, Hyeong Hoe Kim, Kyeongjin Kim, Young‐Ho Park and Do‐Young Yoon and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Hye–Jun Shin

10 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hye–Jun Shin South Korea	9	227	179	148	73	43	10	439
Natsuko Hada Japan	5	301 1.3×	125 0.7×	128 0.9×	28 0.4×	34 0.8×	6	419
Ricardo Ramírez United States	9	369 1.6×	155 0.9×	179 1.2×	51 0.7×	33 0.8×	15	570
David Marais South Africa	11	249 1.1×	129 0.7×	58 0.4×	43 0.6×	27 0.6×	16	534
Yumin Xu China	14	266 1.2×	183 1.0×	203 1.4×	119 1.6×	33 0.8×	41	516
Il Hong South Korea	8	112 0.5×	163 0.9×	70 0.5×	56 0.8×	77 1.8×	9	420
Hongzhong Zhou China	16	187 0.8×	267 1.5×	101 0.7×	84 1.2×	118 2.7×	28	624
T Todoroki Japan	8	351 1.5×	162 0.9×	316 2.1×	53 0.7×	28 0.7×	8	550
Rajesh Kumar Dutta United States	14	215 0.9×	271 1.5×	61 0.4×	91 1.2×	37 0.9×	21	616
Shunichi Matsuoka Japan	12	434 1.9×	216 1.2×	305 2.1×	129 1.8×	84 2.0×	42	799

Countries citing papers authored by Hye–Jun Shin

Since Specialization

Citations

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

Fields of papers citing papers by Hye–Jun Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hye–Jun Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Hye–Jun Shin. A scholar is included among the top collaborators of Hye–Jun 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 Hye–Jun Shin. Hye–Jun 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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10 of 10 papers shown

Kim, Doo‐Jin, et al.. (2020). Two base pair deletion in IL2 receptor γ gene in NOD/SCID mice induces a highly severe immunodeficiency. SHILAP Revista de lepidopterología. 36(1). 27–27. 3 indexed citations

Shin, Hye–Jun, et al.. (2017). Comparison of commonly used ICR stocks and the characterization of Korl:ICR. SHILAP Revista de lepidopterología. 33(1). 8–8. 17 indexed citations

Han, Bing, Hye–Jun Shin, Yesol Bak, et al.. (2016). Peroxiredoxin I is important for cancer-cell survival in Ras-induced hepatic tumorigenesis. Oncotarget. 7(42). 68044–68056. 19 indexed citations

Bak, Yesol, et al.. (2015). Hepatitis B virus X promotes hepatocellular carcinoma development via nuclear protein 1 pathway. Biochemical and Biophysical Research Communications. 466(4). 676–681. 20 indexed citations

Kwon, Taeho, Jin Kyung Rho, Jae Cheol Lee, et al.. (2015). An important role for peroxiredoxin II in survival of A549 lung cancer cells resistant to gefitinib. Experimental & Molecular Medicine. 47(5). e165–e165. 37 indexed citations

Kim, Joohyun, Hye–Jun Shin, Hye‐Lin Ha, et al.. (2014). Methylsulfonylmethane suppresses hepatic tumor development through activation of apoptosis. World Journal of Hepatology. 6(2). 98–98. 17 indexed citations

Park, Young‐Ho, Hye–Jun Shin, Sun‐Uk Kim, et al.. (2013). iNOS promotes HBx-induced hepatocellular carcinoma via upregulation of JNK activation. Biochemical and Biophysical Research Communications. 435(2). 244–249. 20 indexed citations

Shin, Hye–Jun, Young‐Ho Park, Sun-Uk Kim, et al.. (2011). Hepatitis B Virus X Protein Regulates Hepatic Glucose Homeostasis via Activation of Inducible Nitric Oxide Synthase. Journal of Biological Chemistry. 286(34). 29872–29881. 49 indexed citations

Kim, Sun Young, Phil Young Lee, Hye–Jun Shin, et al.. (2009). Proteomic analysis of liver tissue from HBx‐transgenic mice at early stages of hepatocarcinogenesis. PROTEOMICS. 9(22). 5056–5066. 27 indexed citations

10.

Kim, Kook Hwan, Hye–Jun Shin, Kyeongjin Kim, et al.. (2007). Hepatitis B Virus X Protein Induces Hepatic Steatosis Via Transcriptional Activation of SREBP1 and PPARγ. Gastroenterology. 132(5). 1955–1967. 230 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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