Yung‐Luen Shih

640 total citations
30 papers, 535 citations indexed

About

Yung‐Luen Shih is a scholar working on Molecular Biology, Immunology and Endocrinology. According to data from OpenAlex, Yung‐Luen Shih has authored 30 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Endocrinology. Recurrent topics in Yung‐Luen Shih's work include Immune Cell Function and Interaction (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Vibrio bacteria research studies (3 papers). Yung‐Luen Shih is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Vibrio bacteria research studies (3 papers). Yung‐Luen Shih collaborates with scholars based in Taiwan, United States and China. Yung‐Luen Shih's co-authors include Jing‐Gung Chung, Hsin‐Hou Chang, Der‐Shan Sun, Hsu‐Feng Lu, Chwan‐Chuen King, Hsuan-Shun Huang, Wan-Jung Tsai, Hung‐Sheng Shang, Ming‐Yang Yeh and Yung‐Liang Chen and has published in prestigious journals such as The Journal of Immunology, Life Sciences and Cancer Letters.

In The Last Decade

Yung‐Luen Shih

30 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yung‐Luen Shih Taiwan 13 231 139 134 63 44 30 535
Diletta Scaccabarozzi Italy 12 160 0.7× 101 0.7× 71 0.5× 82 1.3× 51 1.2× 19 614
Suthathip Kittisenachai Thailand 12 164 0.7× 168 1.2× 133 1.0× 58 0.9× 48 1.1× 32 518
Zhenghui Huang China 14 203 0.9× 157 1.1× 101 0.8× 40 0.6× 48 1.1× 35 515
Preeti Bajpai India 13 161 0.7× 68 0.5× 67 0.5× 63 1.0× 38 0.9× 31 431
Min Zou China 17 348 1.5× 114 0.8× 106 0.8× 74 1.2× 54 1.2× 40 750
Kléber Juvenal Silva Farias Brazil 13 125 0.5× 127 0.9× 146 1.1× 62 1.0× 67 1.5× 26 480
Kikki Bodman‐Smith United Kingdom 16 187 0.8× 55 0.4× 119 0.9× 92 1.5× 50 1.1× 30 583
Maha‐Hamadien Abdulla Saudi Arabia 14 171 0.7× 87 0.6× 48 0.4× 49 0.8× 53 1.2× 37 647
Bader Alshehri Saudi Arabia 13 149 0.6× 57 0.4× 72 0.5× 48 0.8× 31 0.7× 24 488
Shentao Li China 11 327 1.4× 48 0.3× 86 0.6× 68 1.1× 50 1.1× 30 558

Countries citing papers authored by Yung‐Luen Shih

Since Specialization
Citations

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

Fields of papers citing papers by Yung‐Luen Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung‐Luen Shih. 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 Yung‐Luen Shih. The network helps show where Yung‐Luen Shih may publish in the future.

Co-authorship network of co-authors of Yung‐Luen Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Luen Shih. A scholar is included among the top collaborators of Yung‐Luen Shih 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 Yung‐Luen Shih. Yung‐Luen Shih 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.
Shih, Yung‐Luen, et al.. (2022). Involvement of the hemP-hemA-smlt0796-smlt0797 Operon in Hemin Acquisition by Stenotrophomonas maltophilia. Microbiology Spectrum. 10(3). e0032122–e0032122. 6 indexed citations
2.
Lin, Yi‐Jia, Mei‐Hui Lee, Shu‐Fen Peng, et al.. (2021). Demethoxycurcumin Promotes Macrophage Cell Population and Phagocytosis in WEHI-3 Cell-generated Leukemia BALB/c MiceIn Vivo. In Vivo. 35(6). 3253–3260. 1 indexed citations
3.
Shang, Hung‐Sheng, Yung‐Luen Shih, Shu‐Fen Peng, et al.. (2020). Mangiferin induces immune responses and evaluates the survival rate in WEHI‐3 cell generated mouse leukemia in vivo. Environmental Toxicology. 36(1). 77–85. 11 indexed citations
4.
Shang, Hung‐Sheng, Kuo-Wei Chen, Shu‐Fen Peng, et al.. (2020). Casticin Inhibits In Vivo Growth of Xenograft Tumors of Human Oral Cancer SCC-4 Cells. In Vivo. 34(5). 2461–2467. 4 indexed citations
5.
Shih, Yung‐Luen, Mei‐Hui Lee, Hsu‐Feng Lu, et al.. (2019). Ouabain induces apoptotic cell death in human prostate DU 145 cancer cells through DNA damage and TRAIL pathways. Environmental Toxicology. 34(12). 1329–1339. 24 indexed citations
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Mu, Shu‐Chi, et al.. (2016). Prolonged Hyperbilirubinemia in a Neonate with a Novel Mutation in the <b><i>UDP-glucuronosyltransferase 1A1</i></b> Gene. Neonatology. 109(3). 235–238. 3 indexed citations
9.
Yeh, Ming‐Yang, Yung‐Luen Shih, Jason Chou, et al.. (2016). Chitosan promotes immune responses, ameliorates glutamic oxaloacetic transaminase and glutamic pyruvic transaminase, but enhances lactate dehydrogenase levels in normal mice in vivo. Experimental and Therapeutic Medicine. 11(4). 1300–1306. 11 indexed citations
10.
Shang, Hung‐Sheng, Yung‐Luen Shih, Yung‐Liang Chen, et al.. (2016). Sulforaphane‐induced apoptosis in human leukemia HL‐60 cells through extrinsic and intrinsic signal pathways and altering associated genes expression assayed by cDNA microarray. Environmental Toxicology. 32(1). 311–328. 30 indexed citations
11.
Sun, Der‐Shan, Jyh‐Hwa Kau, Yung‐Luen Shih, et al.. (2015). Acquired coagulant factor VIII deficiency induced byBacillus anthracislethal toxin in mice. Virulence. 6(5). 466–475. 12 indexed citations
12.
Sun, Der‐Shan, Te-Sheng Lien, Chwan‐Chuen King, et al.. (2015). Endothelial Cell Sensitization by Death Receptor Fractions of an Anti–Dengue Nonstructural Protein 1 Antibody Induced Plasma Leakage, Coagulopathy, and Mortality in Mice. The Journal of Immunology. 195(6). 2743–2753. 31 indexed citations
13.
Kau, Jyh‐Hwa, Yung‐Luen Shih, Te-Sheng Lien, et al.. (2012). Activated protein C ameliorates Bacillus anthracis lethal toxin-induced lethal pathogenesis in rats. Journal of Biomedical Science. 19(1). 98–98. 15 indexed citations
14.
Lin, Ching‐Chiang, et al.. (2011). Persistence and Titer Changes of Rubella Virus Antibodies in Primiparous Women Who Had Been Vaccinated with Strain RA 27/3 in Junior High School. Clinical and Vaccine Immunology. 19(1). 1–4. 17 indexed citations
15.
Sun, Der‐Shan, Chwan‐Chuen King, Hsuan-Shun Huang, et al.. (2007). Antiplatelet autoantibodies elicited by dengue virus non‐structural protein 1 cause thrombocytopenia and mortality in mice. Journal of Thrombosis and Haemostasis. 5(11). 2291–2299. 126 indexed citations
16.
Lee, Chin-Cheng, et al.. (2005). Prevalence of Antibody to Hepatitis E Virus among Haemodialysis Patients in Taiwan: Possible Infection by Blood Transfusion. Nephron Clinical Practice. 99(4). c122–c127. 14 indexed citations
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Huang, Tze‐Sing, et al.. (1996). Protein tyrosine phosphatase activities are involved in apoptotic cancer cell death induced by GL331, a new homolog of etoposide. Cancer Letters. 110(1-2). 77–85. 40 indexed citations
19.
Shih, Yung‐Luen & Szecheng J. Lo. (1993). Induction of cell expansion of goldfish melanocytoma cells (GMM‐1) by epinephrine and dexamethasone requires external calcium.. Cell Biology International. 17(5). 533–542. 4 indexed citations
20.

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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