Chin‐Yo Lin
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Genetics top 5%
- Estrogen and related hormone effects
Papers in
-
- Cancer, Lipids, and Metabolism 8
- Cancer, Hypoxia, and Metabolism 4
- Genetics 25
- Estrogen and related hormone effects 20
- Co-authors
- Jan-Ακε Gustafsson (11 shared papers)Raymond Leo Erikson (4 shared papers)Edison T. Liu (11 shared papers)Leonard Lipovich (3 shared papers)Rory Johnson (1 shared paper)Lance David Miller (6 shared papers)Young‐Joo Jang (2 shared papers)Cecilia Williams (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Cancer Research (3 papers)PLoS ONE (3 papers)Molecular Endocrinology (2 papers)Annals of Oncology (2 papers)
- Partner nations
- United StatesSingaporeSweden
In The Last Decade
Chin‐Yo Lin
78 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 127
- Cancer Research 695
- Genetics 894
- Molecular Biology 2.0k
- Cell Biology 414
- Oncology 622
Countries citing papers authored by Chin‐Yo Lin
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
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.
All Works
Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 371 | |
| 2 | 2004 | 263 | |
| 3 | 2004 | 208 | |
| 4 | 2010 | 190 | |
| 5 | 2002 | 171 | |
| 6 | 2014 | 166 | |
| 7 | 2015 | 150 | |
| 8 | 2006 | 141 | |
| 9 | 2005 | 139 | |
| 10 | 2008 | 129 | |
| 11 | 2009 | 126 | |
| 12 | 2000 | 110 | |
| 13 | 2001 | 99 | |
| 14 | 2017 | 98 | |
| 15 | 2007 | 86 | |
| 16 | 2013 | 75 | |
| 17 | 2005 | 62 | |
| 18 | 2012 | 60 | |
| 19 | 2016 | 55 | |
| 20 | 2006 | 51 |
About Chin‐Yo Lin
Chin‐Yo Lin is a scholar working on Cancer Research, Genetics, Oncology, Molecular Biology and Surgery, having authored 83 papers that have together received 3.6k 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 (8 papers), Cytokine Signaling Pathways and Interactions (5 papers), Reproductive System and Pregnancy (4 papers), Genomics and Chromatin Dynamics (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Cancer Research (695 citations), Genetics (894 citations), Molecular Biology (2.0k citations), Cell Biology (414 citations) and Oncology (622 citations). Chin‐Yo Lin has collaborated with scholars based in United States, Singapore and Sweden. Frequent co-authors include Jan-Ακε Gustafsson, Raymond Leo Erikson, Edison T. Liu, Leonard Lipovich, Rory Johnson, Lance David Miller, Young‐Joo Jang, Cecilia Williams, Vinsensius Berlian Vega and Sheng Ma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, PLoS ONE, Molecular Endocrinology and Annals of Oncology.
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.