Chun-Lin Lin

468 total citations
9 papers, 287 citations indexed

About

Chun-Lin Lin is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chun-Lin Lin has authored 9 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 4 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chun-Lin Lin's work include Cancer-related molecular mechanisms research (3 papers), Prostate Cancer Treatment and Research (3 papers) and Epigenetics and DNA Methylation (2 papers). Chun-Lin Lin is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Prostate Cancer Treatment and Research (3 papers) and Epigenetics and DNA Methylation (2 papers). Chun-Lin Lin collaborates with scholars based in United States, Taiwan and South Korea. Chun-Lin Lin's co-authors include Tim H.‐M. Huang, Chiou-Miin Wang, Hakim Bouamar, Lu‐Zhe Sun, Chun‐Liang Chen, Tim H‐M Huang, Michael A. Liss, Aaron M. Horning, Nameer B. Kirma and Victor X. Jin and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and Endocrinology.

In The Last Decade

Chun-Lin Lin

9 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chun-Lin Lin United States	8	205	127	78	68	21	9	287
Miljana Nenkov Germany	10	171 0.8×	125 1.0×	64 0.8×	53 0.8×	29 1.4×	12	267
Yunshi Zhong China	11	219 1.1×	152 1.2×	99 1.3×	32 0.5×	20 1.0×	24	331
Madhumathy G Nair India	10	135 0.7×	77 0.6×	118 1.5×	34 0.5×	22 1.0×	18	235
Yizhi Xiao China	9	202 1.0×	99 0.8×	69 0.9×	45 0.7×	32 1.5×	16	264
Saiyan Bian China	10	231 1.1×	109 0.9×	51 0.7×	45 0.7×	22 1.0×	18	292
Shuyu Zhai China	9	241 1.2×	213 1.7×	86 1.1×	37 0.5×	28 1.3×	21	345
Yibo Hua China	11	193 0.9×	133 1.0×	53 0.7×	45 0.7×	23 1.1×	23	289
Yingsheng Xiao China	9	190 0.9×	126 1.0×	109 1.4×	45 0.7×	39 1.9×	12	295
Dominika Piasecka Poland	9	228 1.1×	152 1.2×	103 1.3×	30 0.4×	12 0.6×	16	308
Xian-Long Fang China	8	210 1.0×	132 1.0×	58 0.7×	35 0.5×	46 2.2×	13	290

Countries citing papers authored by Chun-Lin Lin

Since Specialization

Citations

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

Fields of papers citing papers by Chun-Lin Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun-Lin Lin

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

All Works

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9 of 9 papers shown

Osmulski, Paweł A., Meizhen Chen, Chun-Lin Lin, et al.. (2021). Contacts with Macrophages Promote an Aggressive Nanomechanical Phenotype of Circulating Tumor Cells in Prostate Cancer. Cancer Research. 81(15). 4110–4123. 38 indexed citations

Park, Sul-Gi, Chun-Lin Lin, Shoulei Jiang, et al.. (2020). Inhibitory Interplay of SULT2B1b Sulfotransferase with AKR1C3 Aldo-keto Reductase in Prostate Cancer. Endocrinology. 161(2). 8 indexed citations

Lin, Chun-Lin, et al.. (2018). Bit Labeling and Code Searches for BICM-ID Using 16-DAPSK. IEICE Transactions on Communications. E101.B(12). 2380–2387. 1 indexed citations

Horning, Aaron M., Yao Wang, Anna D. Louie, et al.. (2017). Single-Cell RNA-seq Reveals a Subpopulation of Prostate Cancer Cells with Enhanced Cell-Cycle–Related Transcription and Attenuated Androgen Response. Cancer Research. 78(4). 853–864. 81 indexed citations

Shen-Gunther, Jane, Chiou-Miin Wang, Graham M. Poage, et al.. (2016). Molecular Pap smear: HPV genotype and DNA methylation of ADCY8, CDH8, and ZNF582 as an integrated biomarker for high-grade cervical cytology. Clinical Epigenetics. 8(1). 96–96. 30 indexed citations

Sunkel, Benjamin, Dayong Wu, Zhong Chen, et al.. (2016). Integrative analysis identifies targetable CREB1/FoxA1 transcriptional co-regulation as a predictor of prostate cancer recurrence. Nucleic Acids Research. 44(9). 4105–4122. 39 indexed citations

Huang, Guangcun, Paweł A. Osmulski, Hakim Bouamar, et al.. (2016). TGF-β signal rewiring sustains epithelial-mesenchymal transition of circulating tumor cells in prostate cancer xenograft hosts. Oncotarget. 7(47). 77124–77137. 15 indexed citations

Lin, Chun-Lin, et al.. (2014). MicroRNA-21 inhibits p57Kip2 expression in prostate cancer. Molecular Cancer. 13(1). 212–212. 49 indexed citations

Ghosh, Sagar, Fei Gu, Chun-Lin Lin, et al.. (2014). Genome-wide DNA methylation profiling reveals parity-associated hypermethylation of FOXA1. Breast Cancer Research and Treatment. 147(3). 653–659. 26 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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