Hong‐Yo Kang

6.6k total citations
121 papers, 5.1k citations indexed

About

Hong‐Yo Kang is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hong‐Yo Kang has authored 121 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 24 papers in Oncology and 22 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hong‐Yo Kang's work include Prostate Cancer Treatment and Research (18 papers), Estrogen and related hormone effects (12 papers) and Reproductive Biology and Fertility (11 papers). Hong‐Yo Kang is often cited by papers focused on Prostate Cancer Treatment and Research (18 papers), Estrogen and related hormone effects (12 papers) and Reproductive Biology and Fertility (11 papers). Hong‐Yo Kang collaborates with scholars based in Taiwan, United States and China. Hong‐Yo Kang's co-authors include Chawnshang Chang, Shuyuan Yeh, Hui‐Kuan Lin, Ko‐En Huang, Naohiro Fujimoto, Tin Htwe Thin, Yi-Yung Hung, Ming‐Fong Lin, Yueh‐Chiang Hu and Hong‐Chiang Chang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Hong‐Yo Kang

115 papers receiving 5.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong‐Yo Kang Taiwan 41 2.6k 1.5k 1.1k 847 783 121 5.1k
William A. Ricke United States 36 1.4k 0.5× 1.6k 1.1× 692 0.7× 714 0.8× 590 0.8× 119 4.7k
Fahri Saatcioglu Norway 41 2.5k 0.9× 980 0.7× 1.1k 1.0× 582 0.7× 725 0.9× 105 4.6k
Weihua Zhang China 41 2.9k 1.1× 702 0.5× 1.8k 1.7× 659 0.8× 985 1.3× 155 7.0k
Kerry L. Burnstein United States 36 1.5k 0.6× 846 0.6× 1.1k 1.1× 765 0.9× 584 0.7× 78 3.5k
Hui Gao China 38 2.4k 0.9× 498 0.3× 1.2k 1.1× 586 0.7× 679 0.9× 125 5.2k
Ping Fan China 37 1.9k 0.7× 431 0.3× 912 0.9× 446 0.5× 717 0.9× 218 4.4k
Ralph Buttyan United States 46 3.9k 1.5× 2.4k 1.6× 597 0.6× 738 0.9× 1.3k 1.7× 113 7.6k
Satoshi Yamashita Japan 39 4.1k 1.5× 1.0k 0.7× 453 0.4× 538 0.6× 1.0k 1.3× 175 8.2k
Kara L. Britt Australia 34 1.6k 0.6× 512 0.3× 1.7k 1.6× 583 0.7× 661 0.8× 72 5.5k
Gerasimos P. Sykiotis Switzerland 32 2.7k 1.0× 518 0.4× 722 0.7× 730 0.9× 304 0.4× 104 6.0k

Countries citing papers authored by Hong‐Yo Kang

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Yo Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Yo 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 Hong‐Yo Kang. The network helps show where Hong‐Yo Kang may publish in the future.

Co-authorship network of co-authors of Hong‐Yo Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Yo Kang. A scholar is included among the top collaborators of Hong‐Yo 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 Hong‐Yo Kang. Hong‐Yo 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.
Heo, Jung, Seunghye Park, Hong‐Yo Kang, et al.. (2025). Genetic mapping of tomato mutants using InDel markers between S. pimpinellifolium and two S. lycopersicum cultivars. Plant Biotechnology Reports. 19(6). 839–848.
2.
Liu, Hui, et al.. (2024). Anisodamine ameliorates crystalline silica-exposed pulmonary inflammation and fibrosis via the α7nAChR/JAK2/STAT3 signaling pathway. Ecotoxicology and Environmental Safety. 289. 117534–117534.
3.
Kang, Hong‐Yo, et al.. (2024). Brain Amyloid-β Peptide Is Associated with Pain Intensity and Cognitive Dysfunction in Osteoarthritic Patients. International Journal of Molecular Sciences. 25(23). 12575–12575. 1 indexed citations
4.
5.
Lan, Kuo‐Chung, et al.. (2022). Y-chromosome genes associated with sertoli cell-only syndrome identified by array comparative genome hybridization. Biomedical Journal. 46(2). 100524–100524. 5 indexed citations
6.
Hung, Yi-Yung, Ming‐Kung Wu, Meng-Chang Tsai, Yaling Huang, & Hong‐Yo Kang. (2019). Aberrant Expression of Intracellular let-7e, miR-146a, and miR-155 Correlates with Severity of Depression in Patients with Major Depressive Disorder and Is Ameliorated after Antidepressant Treatment. Cells. 8(7). 647–647. 62 indexed citations
7.
Li, Chaoyun, Ping Meng, Hong‐Yo Kang, et al.. (2018). Computer-aided identification of protein targets of four polyphenols in Alzheimer's disease (AD) and validation in a mouse AD model. Journal of Biomedical Research. 33(2). 101–101. 8 indexed citations
8.
9.
Kang, Hong‐Yo, et al.. (2016). Radiation induced expression of HMGB1 in the cells with different radiosensitivity. Zhonghua fangshe yixue yu fanghu zazhi. 36(7). 486–490. 1 indexed citations
10.
Liu, Chun‐Ting, et al.. (2014). Tanshinone IIA Inhibits the Growth of LNCaP Cells by Blocking the Transcriptional Activity of Androgen Receptor. 25(2). 155–165. 1 indexed citations
11.
12.
Cheng, Bi‐Hua, Tzu‐Hao Wang, Hong‐Yo Kang, et al.. (2013). Association between single nucleotide polymorphisms of the estrogen receptor 1 and receptor activator of nuclear factor kappa B ligand genes and bone mineral density in postmenopausal Taiwanese. Taiwanese Journal of Obstetrics and Gynecology. 52(2). 197–203. 4 indexed citations
13.
Fu, Hung‐Chun, et al.. (2013). Androgen receptor inclusions acquire GRP78/BiP to ameliorate androgen-induced protein misfolding stress in embryonic stem cells. Cell Death and Disease. 4(4). e607–e607. 16 indexed citations
14.
Kang, Hong‐Yo, Lili Ji, Yong‐Qing Yang, et al.. (2012). Proteomic characterization of the possible molecular targets of pyrrolizidine alkaloid isoline-induced hepatotoxicity. Environmental Toxicology and Pharmacology. 34(2). 608–617. 17 indexed citations
15.
Kang, Hong‐Yo, et al.. (2012). AT1R-based Virtual Screening Model for Bioactive Components from Traditional Chinese Medicines and Its Mechanism Study. Acta Chimica Sinica. 70(6). 796–796. 2 indexed citations
16.
Huang, Qi, Haixiao Jin, Qi Liu, et al.. (2012). Proteochemometric Modeling of the Bioactivity Spectra of HIV-1 Protease Inhibitors by Introducing Protein-Ligand Interaction Fingerprint. PLoS ONE. 7(7). e41698–e41698. 18 indexed citations
17.
Huang, Fu‐Jen, Kuo‐Chung Lan, Hong‐Yo Kang, et al.. (2011). Retinoic acid influences the embryoid body formation in mouse embryonic stem cells by induction of caspase and p38 MAPK/JNK‐mediated apoptosis. Environmental Toxicology. 28(4). 190–200. 8 indexed citations
18.
Kang, Hong‐Yo, et al.. (2005). The mechanisms and managements of hormone-therapy resistance in breast and prostate cancers. Endocrine Related Cancer. 12(3). 511–532. 60 indexed citations
19.
Kang, Hong‐Yo, Kai-Lieh Huang, Yueh‐Chiang Hu, et al.. (2004). Nongenomic Androgen Activation of Phosphatidylinositol 3-Kinase/Akt Signaling Pathway in MC3T3-E1 Osteoblasts. Journal of Bone and Mineral Research. 19(7). 1181–1190. 94 indexed citations
20.
Yeh, Shuyuan, Hong‐Chiang Chang, Hiroshi Miyamoto, et al.. (1999). Differential Induction of the Androgen Receptor Transcriptional Activity by Selective Androgen Receptor Coactivators.. The Keio Journal of Medicine. 48(2). 87–92. 45 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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