Shin-Yi Lin

958 total citations
10 papers, 722 citations indexed

About

Shin-Yi Lin is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Shin-Yi Lin has authored 10 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Cell Biology. Recurrent topics in Shin-Yi Lin's work include Genetics, Aging, and Longevity in Model Organisms (2 papers), Congenital heart defects research (2 papers) and MicroRNA in disease regulation (2 papers). Shin-Yi Lin is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (2 papers), Congenital heart defects research (2 papers) and MicroRNA in disease regulation (2 papers). Shin-Yi Lin collaborates with scholars based in United States, China and Taiwan. Shin-Yi Lin's co-authors include Frank J. Slack, Steven Johnson, Chiara Gamberi, Amy E. Pasquinelli, Monica C. Vella, Ellen Gottlieb, Mary C. Abraham, Rebecca D. Burdine, Bo Yao and Lin Yang and has published in prestigious journals such as Development, Oncogene and Developmental Cell.

In The Last Decade

Shin-Yi Lin

10 papers receiving 708 citations

Peers

Shin-Yi Lin

MB

CR

AGING

PS

PRM

Javier Armisen United Kingdom

Vitalii Kleshchevnikov United Kingdom

Anthony P. Fejes Canada

Idan Gabdank United States

Andrew Tae-Jun Kwon Canada

Peter Ruzanov Canada

Héctor Tejero Spain

Alos Diallo United States

Joaquín Custodio Sweden

Jean Monlong United States

Javier Armisen United Kingdom

Shin-Yi Lin

803 ×1.6

MB

620 ×1.8

CR

120 ×0.7

AGING

106 ×1.2

PS

22 ×0.3

PRM

Citations per year, relative to Shin-Yi Lin Shin-Yi Lin (= 1×) peers Javier Armisen

Countries citing papers authored by Shin-Yi Lin

Since Specialization

Citations

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

Fields of papers citing papers by Shin-Yi Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shin-Yi Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shin-Yi Lin. A scholar is included among the top collaborators of Shin-Yi 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 Shin-Yi Lin. Shin-Yi 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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10 of 10 papers shown

1.

Ci, Bo, Shin-Yi Lin, Bo Yao, et al.. (2020). Developing and Using a Data Commons for Understanding the Molecular Characteristics of Germ Cell Tumors. Methods in molecular biology. 2195. 263–275. 1 indexed citations

2.

Wang, Shidan, Tao Wang, Lin Yang, et al.. (2019). ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural network. EBioMedicine. 50. 103–110. 72 indexed citations

3.

Padhi, Emily, Shin-Yi Lin, Darya O. Mishchuk, et al.. (2019). Metabolome and Microbiome Signatures in the Roots of Citrus Affected by Huanglongbing. Phytopathology. 109(12). 2022–2032. 33 indexed citations

4.

Cai, Ling, Shin-Yi Lin, Luc Girard, et al.. (2018). LCE: an open web portal to explore gene expression and clinical associations in lung cancer. Oncogene. 38(14). 2551–2564. 77 indexed citations

5.

Chiu, Shao‐Chih, et al.. (2014). The involvement of nuclear factor-κappaB in the nuclear targeting and cyclin E1 upregulating activities of hepatoma upregulated protein. Cellular Signalling. 27(1). 26–36. 11 indexed citations

6.

Chou, Yueh‐Ching, Shin-Yi Lin, Tzeng‐Ji Chen, et al.. (2013). Dosing variability in prescriptions of acetaminophen to children: comparisons between pediatricians, family physicians and otolaryngologists. BMC Pediatrics. 13(1). 64–64. 6 indexed citations

7.

Lin, Shin-Yi, et al.. (2011). Two additional midline barriers function with midlinelefty1expression to maintain asymmetric Nodal signaling during left-right axis specification in zebrafish. Development. 138(20). 4405–4410. 34 indexed citations

8.

Serluca, Fabrizio C., Bo Xu, Noriko Okabe, et al.. (2009). Mutations in zebrafish leucine-rich repeat-containing six-like affect cilia motility and result in pronephric cysts, but have variable effects on left-right patterning. Development. 136(10). 1621–1631. 44 indexed citations

9.

Johnson, Steven, Shin-Yi Lin, & Frank J. Slack. (2003). The time of appearance of the C. elegans let-7 microRNA is transcriptionally controlled utilizing a temporal regulatory element in its promoter. Developmental Biology. 259(2). 364–379. 161 indexed citations

10.

Lin, Shin-Yi, Steven Johnson, Mary C. Abraham, et al.. (2003). The C. elegans hunchback Homolog, hbl-1, Controls Temporal Patterning and Is a Probable MicroRNA Target. Developmental Cell. 4(5). 639–650. 283 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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