Chin‐Yo Lin

4.4k citations
86 papers · 3.1k · h-index 28

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism
  • Genetics top 2%
    • Estrogen and related hormone effects

Papers in

Chin‐Yo Lin

81 papers receiving 3.0k citations

Peers

Chin‐Yo Lin
Comparison fields: 5 of 125
  • Cancer Research 609
  • Genetics 689
  • Cell Biology 403
  • Molecular Biology 1.6k
  • Oncology 535
Replace Kwang‐Huei Lin with:
Kwang‐Huei Lin Taiwan
John W. Phillips United States
Edward A. O’Neill United States
Benjamin Yat‐Ming Yung Taiwan
Cynthia Heinlein United States
Farhat L. Khanim United Kingdom
R. Bamezai India
Andrea J. Ross United States
Aideen Long Ireland
Jialing Xiang United States
Chin‐Yo Lin relative to Kwang‐Huei Lin Taiwan Kwang‐Huei Lin's profile →
Citations per field
00.5×1.5×
Kwang‐Huei Lin · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Chin‐Yo Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chin‐Yo Lin Line = papers co-authored together Chin‐Yo Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004243
2 2004192
3 2010183
4 2002163
5 2014156
6 2015144
7 2005140
8 2006137
9 2008125
10 2009123
11 2000109
12 200197
13 201791
14 200782
15 201371
16 200562
17 201259
18 200651
19 201650
20 201648

About Chin‐Yo Lin

Chin‐Yo Lin is a scholar working on Molecular Biology, Genetics, Surgery, Oncology and Cancer Research, having authored 86 papers that have together received 3.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (20 papers), Cholesterol and Lipid Metabolism (10 papers), Cancer, Lipids, and Metabolism (8 papers), Drug Transport and Resistance Mechanisms (7 papers), Cytokine Signaling Pathways and Interactions (5 papers), Genomics and Chromatin Dynamics (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Cancer Research (609 citations), Genetics (689 citations), Cell Biology (403 citations), Molecular Biology (1.6k citations) and Oncology (535 citations). Chin‐Yo Lin has collaborated with scholars based in United States, Taiwan and Singapore. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, Annals of Oncology, The FASEB Journal and PLoS ONE.

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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