Ruo-Kai Lin

1.8k total citations
26 papers, 1.2k citations indexed

About

Ruo-Kai Lin is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ruo-Kai Lin has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Ruo-Kai Lin's work include Epigenetics and DNA Methylation (19 papers), RNA modifications and cancer (12 papers) and Cancer-related gene regulation (8 papers). Ruo-Kai Lin is often cited by papers focused on Epigenetics and DNA Methylation (19 papers), RNA modifications and cancer (12 papers) and Cancer-related gene regulation (8 papers). Ruo-Kai Lin collaborates with scholars based in Taiwan, Czechia and United States. Ruo-Kai Lin's co-authors include Yi‐Ching Wang, Chih‐Yi Chen, Han‐Shui Hsu, Jer-Wei Chang, Jung-Ta Chen, Yen-An Tang, Tzong‐Huei Lee, Yi-Chieh Yang, Chun‐Hua Hsu and Li‐Jung Juan and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Ruo-Kai Lin

26 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruo-Kai Lin Taiwan 17 952 310 310 144 115 26 1.2k
Matthew D Westfall United States 9 957 1.0× 680 2.2× 193 0.6× 136 0.9× 127 1.1× 11 1.4k
Duc‐Hiep Bach South Korea 16 810 0.9× 303 1.0× 494 1.6× 140 1.0× 83 0.7× 21 1.2k
Michelle Van Scoyk United States 15 896 0.9× 226 0.7× 245 0.8× 141 1.0× 49 0.4× 27 1.2k
Sandra E. Ghayad France 18 683 0.7× 294 0.9× 319 1.0× 165 1.1× 50 0.4× 29 988
Steven L. Abrams United States 8 711 0.7× 340 1.1× 180 0.6× 123 0.9× 149 1.3× 9 1.0k
Ruilan Yan United States 13 725 0.8× 197 0.6× 166 0.5× 53 0.4× 108 0.9× 19 1.1k
Rareş Drulă Romania 11 601 0.6× 189 0.6× 292 0.9× 115 0.8× 84 0.7× 18 914
Ledong Wan China 13 680 0.7× 263 0.8× 438 1.4× 119 0.8× 74 0.6× 17 1.1k
Kazunori Otsuka Japan 11 717 0.8× 659 2.1× 276 0.9× 117 0.8× 97 0.8× 24 1.2k
Valerie Odero-Marah United States 21 967 1.0× 605 2.0× 485 1.6× 327 2.3× 77 0.7× 39 1.5k

Countries citing papers authored by Ruo-Kai Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ruo-Kai Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruo-Kai 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 Ruo-Kai Lin. The network helps show where Ruo-Kai Lin may publish in the future.

Co-authorship network of co-authors of Ruo-Kai Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ruo-Kai Lin. A scholar is included among the top collaborators of Ruo-Kai 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 Ruo-Kai Lin. Ruo-Kai 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.
Hung, Chin‐Sheng, Chih-Ming Su, Limin Liao, et al.. (2024). Hypermethylation of the Gene Body in SRCIN1 Is Involved in Breast Cancer Cell Proliferation and Is a Potential Blood-Based Biomarker for Early Detection and a Poor Prognosis. Biomolecules. 14(5). 571–571. 1 indexed citations
2.
Lin, Ruo-Kai, Chih-Ming Su, Le Thi Anh Thư, et al.. (2022). Hypermethylation of TMEM240 predicts poor hormone therapy response and disease progression in breast cancer. Molecular Medicine. 28(1). 67–67. 10 indexed citations
3.
Thư, Le Thi Anh, Chin‐Sheng Hung, Chih-Ming Su, et al.. (2022). Promoter hypomethylation and overexpression of TSTD1 mediate poor treatment response in breast cancer. Frontiers in Oncology. 12. 5 indexed citations
4.
5.
6.
Hung, Chin‐Sheng, et al.. (2020). SMAD3 Hypomethylation as a Biomarker for Early Prediction of Colorectal Cancer. International Journal of Molecular Sciences. 21(19). 7395–7395. 36 indexed citations
7.
Hung, Chin‐Sheng, et al.. (2018). Hypermethylation of CCND2 in Lung and Breast Cancer Is a Potential Biomarker and Drug Target. International Journal of Molecular Sciences. 19(10). 3096–3096. 56 indexed citations
8.
Hsiao, George, et al.. (2017). Bioactive Constituents from the Termite Nest-Derived Medicinal Fungus Xylaria nigripes. Journal of Natural Products. 80(1). 38–44. 51 indexed citations
9.
Lin, Ruo-Kai, Yu-Fang Huang, Yu‐Jia Chang, et al.. (2017). Hypermethylation of BEND5 contributes to cell proliferation and is a prognostic marker of colorectal cancer. Oncotarget. 8(69). 113431–113443. 11 indexed citations
10.
Chang, Yu‐Jia, Ya‐Wen Cheng, Ruo-Kai Lin, et al.. (2016). Thrombomodulin Influences the Survival of Patients with Non-Metastatic Colorectal Cancer through Epithelial-To-Mesenchymal Transition (EMT). PLoS ONE. 11(8). e0160550–e0160550. 16 indexed citations
11.
Lin, Ruo-Kai, et al.. (2016). Synthesis and biological evaluation of lovastatin-derived aliphatic hydroxamates that induce reactive oxygen species. Bioorganic & Medicinal Chemistry Letters. 26(22). 5528–5533. 2 indexed citations
12.
Ma, Hon‐Ping, Chih-Ming Su, Yu‐Jia Chang, et al.. (2016). Alterations in histone deacetylase 8 lead to cell migration and poor prognosis in breast cancer. Life Sciences. 151. 7–14. 36 indexed citations
13.
Yang, Yi-Chieh, et al.. (2014). DNMT3B Overexpression by Deregulation of FOXO3a-Mediated Transcription Repression and MDM2 Overexpression in Lung Cancer. Journal of Thoracic Oncology. 9(9). 1305–1315. 33 indexed citations
14.
Lin, Ruo-Kai & Yi‐Ching Wang. (2014). Dysregulated transcriptional and post-translational control of DNA methyltransferases in cancer. Cell & Bioscience. 4(1). 46–46. 75 indexed citations
15.
Lee, Sung‐Bau, Ruo-Kai Lin, Anup K. Upadhyay, et al.. (2010). hNaa10p contributes to tumorigenesis by facilitating DNMT1-mediated tumor suppressor gene silencing. Journal of Clinical Investigation. 120(8). 2920–2930. 91 indexed citations
16.
Lin, Ruo-Kai, Jer-Wei Chang, Li‐Jung Juan, et al.. (2010). Dysregulation of p53/Sp1 Control Leads to DNA Methyltransferase-1 Overexpression in Lung Cancer. Cancer Research. 70(14). 5807–5817. 161 indexed citations
17.
Lin, Ruo-Kai, Chun‐Hua Hsu, & Yi‐Ching Wang. (2007). Mithramycin A inhibits DNA methyltransferase and metastasis potential of lung cancer cells. Anti-Cancer Drugs. 18(10). 1157–1164. 54 indexed citations
18.
Lin, Ruo-Kai, Han‐Shui Hsu, Jer-Wei Chang, et al.. (2006). Alteration of DNA methyltransferases contributes to 5′CpG methylation and poor prognosis in lung cancer. Lung Cancer. 55(2). 205–213. 197 indexed citations
19.
Lin, Ruo-Kai, et al.. (2004). Wild-Type p53 Overexpression and Its Correlation With MDM2 and p14ARF Alterations: An Alternative Pathway to Non–Small-Cell Lung Cancer. Journal of Clinical Oncology. 23(1). 154–164. 64 indexed citations
20.
Wang, Yi‐Ching, Ruo-Chia Tseng, Ruo-Kai Lin, et al.. (2003). Inactivation of hMLH1 and hMSH2 by promoter methylation in primary non-small cell lung tumors and matched sputum samples. Journal of Clinical Investigation. 111(6). 887–895. 122 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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