Chin‐Yo Lin

4.5k total citations
90 papers, 3.2k citations indexed

About

Chin‐Yo Lin is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Chin‐Yo Lin has authored 90 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 32 papers in Genetics and 20 papers in Oncology. Recurrent topics in Chin‐Yo Lin's work include Estrogen and related hormone effects (25 papers), Cholesterol and Lipid Metabolism (10 papers) and Drug Transport and Resistance Mechanisms (8 papers). Chin‐Yo Lin is often cited by papers focused on Estrogen and related hormone effects (25 papers), Cholesterol and Lipid Metabolism (10 papers) and Drug Transport and Resistance Mechanisms (8 papers). Chin‐Yo Lin collaborates with scholars based in United States, Taiwan and Singapore. Chin‐Yo Lin's co-authors include Jan-Ακε Gustafsson, Raymond L. Erikson, Edison T. Liu, Cecilia Williams, Leonard Lipovich, Rory Johnson, Young‐Joo Jang, Lance D. Miller, Sheng Ma and Vinsensius B. Vega and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Chin‐Yo Lin

86 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chin‐Yo Lin United States 30 1.9k 793 707 656 424 90 3.2k
Sham S. Kakar United States 42 2.6k 1.4× 545 0.7× 978 1.4× 657 1.0× 311 0.7× 114 5.0k
Dai Ayusawa Japan 35 3.1k 1.7× 429 0.5× 417 0.6× 812 1.2× 193 0.5× 138 4.3k
Cecilia Williams Sweden 34 2.1k 1.1× 1.0k 1.3× 1.0k 1.4× 1.1k 1.6× 121 0.3× 97 3.7k
Bandana Chatterjee United States 35 1.8k 1.0× 805 1.0× 346 0.5× 593 0.9× 219 0.5× 97 3.7k
John W. Phillips United States 30 2.1k 1.1× 405 0.5× 324 0.5× 354 0.5× 279 0.7× 81 3.3k
Farhat L. Khanim United Kingdom 29 1.4k 0.8× 326 0.4× 349 0.5× 621 0.9× 399 0.9× 65 2.6k
Benjamin Yat‐Ming Yung Taiwan 35 2.6k 1.4× 546 0.7× 397 0.6× 542 0.8× 242 0.6× 116 3.7k
Shin Hayashi Japan 34 1.8k 0.9× 865 1.1× 434 0.6× 738 1.1× 207 0.5× 113 3.9k
R. Bamezai India 33 2.2k 1.2× 549 0.7× 1.0k 1.4× 369 0.6× 121 0.3× 137 3.7k
Tongtong Zou United States 40 2.5k 1.3× 300 0.4× 832 1.2× 362 0.6× 164 0.4× 68 3.4k

Countries citing papers authored by Chin‐Yo Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Yo Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chin‐Yo Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Yo Lin. A scholar is included among the top collaborators of Chin‐Yo Lin 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 Chin‐Yo Lin. Chin‐Yo Lin 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.
2.
Yamamoto, Shun, Chin‐Yo Lin, F. Rivera Herrero, et al.. (2023). 189P Safety run-in results from LEAP-014: First-line lenvatinib (len) plus pembrolizumab (pembro) and chemotherapy (chemo) for metastatic esophageal squamous cell carcinoma (ESCC). Annals of Oncology. 34. S1548–S1548. 1 indexed citations
3.
Ho, Charles, et al.. (2021). Non-Metabolic Functions of PKM2 Contribute to Cervical Cancer Cell Proliferation Induced by the HPV16 E7 Oncoprotein. Viruses. 13(3). 433–433. 14 indexed citations
4.
Ho, Charles, et al.. (2020). Progesterone Receptor Is a Haploinsufficient Tumor-Suppressor Gene in Cervical Cancer. Molecular Cancer Research. 19(1). 42–47. 9 indexed citations
5.
Huang, Wentao, Sridevi Addanki, Jerry O. Ebalunode, et al.. (2020). Screening of Focused Compound Library Targeting Liver X Receptors in Pancreatic Cancer Identified Ligands with Inverse Agonist and Degrader Activity. ACS Chemical Biology. 15(11). 2916–2928. 12 indexed citations
6.
Williams, Cecilia & Chin‐Yo Lin. (2016). ecancermedicalscience. ecancermedicalscience. 7. 370–370. 48 indexed citations
7.
Lin, Chin‐Yo, Erica L. Kleinbrink, Fabien Dachet, et al.. (2016). Primate-specific oestrogen-responsive long non-coding RNAs regulate proliferation and viability of human breast cancer cells. Open Biology. 6(12). 150262–150262. 10 indexed citations
8.
Lin, Chin‐Yo, Lise‐Lotte Vedin, & Knut R. Steffensen. (2015). The emerging roles of liver X receptors and their ligands in cancer. Expert Opinion on Therapeutic Targets. 20(1). 61–71. 36 indexed citations
9.
Lin, Chin‐Yo & Jan-Ακε Gustafsson. (2015). Targeting liver X receptors in cancer therapeutics. Nature reviews. Cancer. 15(4). 216–224. 143 indexed citations
10.
Zhu, Jian, Chunyan Zhao, Ting Zhuang, et al.. (2014). The atypical ubiquitin ligase RNF31 stabilizes estrogen receptor α and modulates estrogen-stimulated breast cancer cell proliferation. Oncogene. 33(34). 4340–4351. 80 indexed citations
11.
Aydoğdu, Eylem, Efrosini Tsouko, Chin‐Yo Lin, et al.. (2012). MicroRNA-regulated gene networks during mammary cell differentiation are associated with breast cancer. Carcinogenesis. 33(8). 1502–1511. 59 indexed citations
12.
Lin, Chin‐Yo, et al.. (2010). Bovine parvovirus uses clathrin-mediated endocytosis for cell entry. Journal of General Virology. 91(12). 3032–3041. 25 indexed citations
13.
Frasor, Jonna, et al.. (2009). Positive Cross-Talk between Estrogen Receptor and NF-κB in Breast Cancer. Cancer Research. 69(23). 8918–8925. 122 indexed citations
14.
Müller, Patrick, et al.. (2009). SOX9 mediates the retinoic acid-induced HES-1 gene expression in human breast cancer cells. Breast Cancer Research and Treatment. 120(2). 317–326. 35 indexed citations
15.
Müller, Patrick, et al.. (2008). Estrogen-dependent downregulation of hairy and enhancer of split homolog-1 gene expression in breast cancer cells is mediated via a 3′ distal element. Journal of Endocrinology. 200(3). 311–319. 6 indexed citations
16.
Frasor, Jonna, Edmund C. Chang, Barry S. Komm, et al.. (2006). Gene Expression Preferentially Regulated by Tamoxifen in Breast Cancer Cells and Correlations with Clinical Outcome. Cancer Research. 66(14). 7334–7340. 137 indexed citations
17.
Vega, Vinsensius B., et al.. (2004). BEARR: Batch Extraction and Analysis of cis-Regulatory Regions. Nucleic Acids Research. 32(Web Server). W257–W260. 10 indexed citations
18.
19.
Lin, Chin‐Yo, et al.. (1996). Clinical analysis of choledochoduodenal fistula with cholelithiasis in Taiwan: assessment by endoscopic retrograde cholangiopancreatography.. PubMed. 91(1). 122–6. 18 indexed citations
20.
Lin, Chin‐Yo, et al.. (1992). Epstein-Barr virus-associated T-cell lymphoma of the maxillary sinus in a renal transplant recipient.. PubMed. 24(5). 1929–31. 11 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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