Yi-Te Yo

781 total citations
11 papers, 685 citations indexed

About

Yi-Te Yo is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Yi-Te Yo has authored 11 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Biotechnology. Recurrent topics in Yi-Te Yo's work include Cancer Cells and Metastasis (4 papers), Cancer Research and Treatments (3 papers) and Epigenetics and DNA Methylation (3 papers). Yi-Te Yo is often cited by papers focused on Cancer Cells and Metastasis (4 papers), Cancer Research and Treatments (3 papers) and Epigenetics and DNA Methylation (3 papers). Yi-Te Yo collaborates with scholars based in Taiwan, United States and Russia. Yi-Te Yo's co-authors include Yu-Chi Wang, Tai‐Kuang Chao, Cheng‐Chang Chang, Chao‐Liang Wu, Ai‐Li Shiau, Hung‐Cheng Lai, Yu-Ping Liao, Po‐Hsuan Su, Hsin‐Yi Lee and Cheng-Yang Chou and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Cancer Research.

In The Last Decade

Yi-Te Yo

11 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi-Te Yo Taiwan 11 420 252 158 118 53 11 685
Zhaojun Shen China 11 337 0.8× 163 0.6× 184 1.2× 136 1.2× 70 1.3× 16 684
Chi‐Chen Fan Taiwan 19 423 1.0× 158 0.6× 161 1.0× 68 0.6× 50 0.9× 26 842
Siddhartha Dutta Gupta India 15 431 1.0× 155 0.6× 113 0.7× 123 1.0× 41 0.8× 24 811
Fu-Shing Liu Taiwan 13 313 0.7× 201 0.8× 96 0.6× 103 0.9× 86 1.6× 20 710
Patricia Piña‐Sánchez Mexico 19 474 1.1× 253 1.0× 300 1.9× 296 2.5× 43 0.8× 63 936
Jiahong Tan China 13 393 0.9× 168 0.7× 171 1.1× 119 1.0× 31 0.6× 29 781
Francesco Paolo Fiorentino Italy 13 346 0.8× 176 0.7× 90 0.6× 105 0.9× 14 0.3× 20 573
Marcel J. Flens Netherlands 13 565 1.3× 836 3.3× 98 0.6× 86 0.7× 69 1.3× 21 1.2k
Cong Liang China 12 598 1.4× 176 0.7× 221 1.4× 70 0.6× 22 0.4× 29 864
Paulina Gronesova Slovakia 15 258 0.6× 199 0.8× 149 0.9× 67 0.6× 21 0.4× 38 601

Countries citing papers authored by Yi-Te Yo

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Te Yo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-Te Yo. 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 Yi-Te Yo. The network helps show where Yi-Te Yo may publish in the future.

Co-authorship network of co-authors of Yi-Te Yo

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

All Works

11 of 11 papers shown
1.
Wang, Yu-Chi, et al.. (2013). Drug Screening Identifies Niclosamide as an Inhibitor of Breast Cancer Stem-Like Cells. PLoS ONE. 8(9). e74538–e74538. 109 indexed citations
2.
Yo, Yi-Te, Rui Huang, Yu-Chi Wang, et al.. (2013). Ovarian cancer stem-like cells with induced translineage-differentiation capacity and are suppressed by alkaline phosphatase inhibitor. Oncotarget. 4(12). 2366–2382. 18 indexed citations
3.
Yo, Yi-Te, Yu-Chi Wang, Curt Balch, et al.. (2012). Growth Inhibition of Ovarian Tumor–Initiating Cells by Niclosamide. Molecular Cancer Therapeutics. 11(8). 1703–1712. 105 indexed citations
4.
Wang, Yu-Chi, Yi-Te Yo, Hsin‐Yi Lee, et al.. (2012). ALDH1-Bright Epithelial Ovarian Cancer Cells Are Associated with CD44 Expression, Drug Resistance, and Poor Clinical Outcome. American Journal Of Pathology. 180(3). 1159–1169. 143 indexed citations
5.
Chao, Tai‐Kuang, Yi-Te Yo, Yu-Ping Liao, et al.. (2012). LIM-homeobox transcription factor 1, alpha (LMX1A) inhibits tumourigenesis, epithelial–mesenchymal transition and stem-like properties of epithelial ovarian cancer. Gynecologic Oncology. 128(3). 475–482. 23 indexed citations
6.
Huang, Rui, Cheng‐Chang Chang, Yu‐Chih Chen, et al.. (2012). Methylomic Analysis Identifies Frequent DNA Methylation of Zinc Finger Protein 582 (ZNF582) in Cervical Neoplasms. PLoS ONE. 7(7). e41060–e41060. 63 indexed citations
7.
Hsu, Keng‐Fu, Chao‐Liang Wu, Soon-Cen Huang, et al.. (2009). Cathepsin L mediates resveratrol-induced autophagy and apoptotic cell death in cervical cancer cells. Autophagy. 5(4). 451–460. 136 indexed citations
8.
Shiau, Ai‐Li, Shih‐Yao Chen, Meng-Ya Chang, et al.. (2007). Prothymosin α Lacking the Nuclear Localization Signal as an Effective Gene Therapeutic Strategy in Collagen-Induced Arthritis. The Journal of Immunology. 178(7). 4688–4694. 21 indexed citations
10.
Shiau, Ai‐Li, et al.. (2005). Enhancement of humoral and cellular immune responses by an oral Salmonella choleraesuis vaccine expressing porcine prothymosin α. Vaccine. 23(48-49). 5563–5571. 17 indexed citations
11.
Shiau, Ai‐Li, et al.. (2005). Transgenic overexpression of prothymosin α induces development of polycystic kidney disease. Kidney International. 67(5). 1710–1722. 18 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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