Ya‐Chi Lin

2.2k total citations · 1 hit paper
23 papers, 973 citations indexed

About

Ya‐Chi Lin is a scholar working on Molecular Biology, Cancer Research and Developmental Biology. According to data from OpenAlex, Ya‐Chi Lin has authored 23 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Developmental Biology. Recurrent topics in Ya‐Chi Lin's work include Circular RNAs in diseases (7 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (4 papers). Ya‐Chi Lin is often cited by papers focused on Circular RNAs in diseases (7 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (4 papers). Ya‐Chi Lin collaborates with scholars based in Taiwan, United States and Indonesia. Ya‐Chi Lin's co-authors include Kuei‐Yang Hsiao, H. Sunny Sun, Laising Yen, Sachin Gupta, Ning Chang, Shaw‐Jenq Tsai, Hsin‐Wei Wang, Tun‐Wen Pai, Hao‐Teng Chang and David F. Clayton and has published in prestigious journals such as Cancer Research, Molecules and BMC Bioinformatics.

In The Last Decade

Ya‐Chi Lin

22 papers receiving 961 citations

Hit Papers

Noncoding Effects of Circular RNA CCDC66 Promote Colon Ca... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ya‐Chi Lin Taiwan 13 776 564 67 60 58 23 973
Phuong T. Ho South Korea 10 333 0.4× 221 0.4× 48 0.7× 155 2.6× 11 0.2× 26 640
Zhenfeng Wu China 12 393 0.5× 172 0.3× 18 0.3× 60 1.0× 22 0.4× 26 527
Runnan Qi China 4 643 0.8× 84 0.1× 44 0.7× 102 1.7× 26 0.4× 7 859
Emily Huang United States 11 458 0.6× 156 0.3× 108 1.6× 73 1.2× 21 0.4× 20 953
Mee Sun Ock South Korea 16 264 0.3× 74 0.1× 113 1.7× 57 0.9× 47 0.8× 55 813
Sean Petersen United States 7 632 0.8× 260 0.5× 76 1.1× 80 1.3× 5 0.1× 9 839
Weidong Zhu China 10 637 0.8× 477 0.8× 44 0.7× 135 2.3× 12 0.2× 15 901
Hiroyuki Wakaguri Japan 15 606 0.8× 111 0.2× 48 0.7× 54 0.9× 56 1.0× 25 814
Daniela Ribeiro Portugal 19 562 0.7× 126 0.2× 204 3.0× 146 2.4× 9 0.2× 34 895
Valentine Murigneux Australia 11 497 0.6× 123 0.2× 117 1.7× 62 1.0× 23 0.4× 24 718

Countries citing papers authored by Ya‐Chi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ya‐Chi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya‐Chi Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ya‐Chi Lin. A scholar is included among the top collaborators of Ya‐Chi 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 Ya‐Chi Lin. Ya‐Chi 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.
Shen, Che‐Hung, Yueh‐Chun Lee, Ya‐Chi Lin, et al.. (2023). Exon Junction Complex Mediates the Cap-Independent Translation of Circular RNA. Molecular Cancer Research. 21(11). 1220–1233. 15 indexed citations
2.
Lin, Ya‐Chi, et al.. (2023). Rapid selection of potyviral cross‐protection effective mutants from the local lesion host after nitrous acid mutagenesis. Molecular Plant Pathology. 24(8). 973–988. 9 indexed citations
3.
Lee, Yueh‐Chun, et al.. (2022). The Functional Roles and Regulation of Circular RNAs during Cellular Stresses. Non-Coding RNA. 8(3). 38–38. 4 indexed citations
4.
Liu, Cheng-Huan, et al.. (2022). Organic Amendment Types Influence Soil Properties, the Soil Bacterial Microbiome, and Tomato Growth. Agronomy. 12(5). 1236–1236. 18 indexed citations
5.
Lin, Ya‐Chi, et al.. (2021). CircVIS: a platform for circRNA visual presentation. BMC Genomics. 22(S5). 921–921. 10 indexed citations
6.
7.
Lin, Ya‐Chi, et al.. (2019). Analysis of common targets for circular RNAs. BMC Bioinformatics. 20(1). 372–372. 22 indexed citations
8.
Hsiao, Kuei‐Yang, Ya‐Chi Lin, Sachin Gupta, et al.. (2017). Noncoding Effects of Circular RNA CCDC66 Promote Colon Cancer Growth and Metastasis. Cancer Research. 77(9). 2339–2350. 518 indexed citations breakdown →
9.
Lin, Ya‐Chi, et al.. (2017). Transcutaneous electrical nerve stimulator of 5000 Hz frequency provides better analgesia than that of 100 Hz frequency in mice muscle pain model. The Kaohsiung Journal of Medical Sciences. 33(4). 165–170. 7 indexed citations
10.
Doerksen, Robert J., Chi‐I Chang, Wang‐Chou Sung, et al.. (2015). Screening, discovery, and characterization of angiotensin-I converting enzyme inhibitory peptides derived from proteolytic hydrolysate of bitter melon seed proteins. Journal of Proteomics. 128. 424–435. 84 indexed citations
11.
Doerksen, Robert J., Chi‐I Chang, Wang‐Chou Sung, et al.. (2015). Data in support of optimized production of angiotensin-I converting enzyme inhibitory peptides derived from proteolytic hydrolysate of bitter melon seed proteins. Data in Brief. 5. 403–407. 3 indexed citations
12.
Lin, Ya‐Chi, et al.. (2015). Hypoxia inducible factor‐1α inhibition produced anti‐allodynia effect and suppressed inflammatory cytokine production in early stage of mouse complex regional pain syndrome model. Clinical and Experimental Pharmacology and Physiology. 43(3). 355–359. 19 indexed citations
13.
Lin, Ya‐Chi, Christopher N. Balakrishnan, & David F. Clayton. (2014). Functional genomic analysis and neuroanatomical localization of miR-2954, a song-responsive sex-linked microRNA in the zebra finch. Frontiers in Neuroscience. 8. 409–409. 14 indexed citations
14.
Lin, Ya‐Chi, Joseph T. Tseng, Shuen‐Lin Jeng, & H. Sunny Sun. (2014). Comprehensive analysis of common coding sequence variants in Taiwanese Han population. 6(4). 133–143. 1 indexed citations
15.
Balakrishnan, Christopher N., Ya‐Chi Lin, Sarah E. London, & David F. Clayton. (2012). RNA-seq transcriptome analysis of male and female zebra finch cell lines. Genomics. 100(6). 363–369. 18 indexed citations
16.
Wang, Hsin‐Wei, Ya‐Chi Lin, Tun‐Wen Pai, & Hao‐Teng Chang. (2011). Prediction of B‐cell Linear Epitopes with a Combination of Support Vector Machine Classification and Amino Acid Propensity Identification. BioMed Research International. 2011(1). 432830–432830. 70 indexed citations
17.
Gunaratne, Preethi H., Ya‐Chi Lin, Ashley Benham, et al.. (2011). Song exposure regulates known and novel microRNAs in the zebra finch auditory forebrain. BMC Genomics. 12(1). 277–277. 42 indexed citations
18.
Chen, Tzu‐Chun, et al.. (2011). Genomic characterization of Calla lily chlorotic spot virus and design of broad‐spectrum primers for detection of tospoviruses. Plant Pathology. 61(1). 183–194. 26 indexed citations
19.
Wang, Hsin‐Wei, Ya‐Chi Lin, Tun‐Wen Pai, Pei-Wen Tsai, & Hao‐Teng Chang. (2011). A Hybrid Method of Propensity Scales and Support Vector Machine in a Linear Epitope Prediction. 322. 541–546. 1 indexed citations
20.
Sun, H. Sunny, Ih‐Jen Su, Ya‐Chi Lin, Jia‐Shing Chen, & Sheen‐Yie Fang. (2003). A 2·6 Mb interval on chromosome 6q25.2–q25.3 is commonly deleted in human nasal natural killer/T‐cell lymphoma. British Journal of Haematology. 122(4). 590–599. 41 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026