Chao‐Po Lin
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Toxicology top 2%
Papers in
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- Cancer therapeutics and mechanisms 9
- CRISPR and Genetic Engineering 9
- DNA Repair Mechanisms 7
- Pluripotent Stem Cells Research 7
- Advanced biosensing and bioanalysis techniques 6
- RNA Interference and Gene Delivery 5
- RNA regulation and disease 4
-
- MicroRNA in disease regulation 6
- Co-authors
- Leroy F. Liu (12 shared papers)Yi Lisa Lyu (10 shared papers)Anna M. Azarova (6 shared papers)Yuan‐Chin Tsai (4 shared papers)Yi Ban (3 shared papers)Lin He (5 shared papers)John E. Kerrigan (2 shared papers)James C. Wang (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Cancer Research (3 papers)Nature Communications (2 papers)Cell Reports (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Chao‐Po Lin
44 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 106
- Cancer Research 551
- Toxicology 120
- Molecular Biology 1.9k
- Oncology 688
- Aging 35
Countries citing papers authored by Chao‐Po Lin
This map shows the geographic impact of Chao‐Po 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 Chao‐Po Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao‐Po Lin more than expected).
Fields of papers citing papers by Chao‐Po Lin
This network shows the impact of papers produced by Chao‐Po 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 Chao‐Po Lin. The network helps show where Chao‐Po Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao‐Po 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 475 | |
| 2 | 2011 | 314 | |
| 3 | 2014 | 246 | |
| 4 | 2007 | 233 | |
| 5 | 2006 | 144 | |
| 6 | 2017 | 119 | |
| 7 | 2006 | 118 | |
| 8 | 2008 | 95 | |
| 9 | 2006 | 67 | |
| 10 | 2009 | 62 | |
| 11 | 2022 | 52 | |
| 12 | 2009 | 40 | |
| 13 | 2010 | 39 | |
| 14 | 2006 | 39 | |
| 15 | 2005 | 39 | |
| 16 | 2012 | 35 | |
| 17 | 2005 | 35 | |
| 18 | 2022 | 33 | |
| 19 | 2016 | 33 | |
| 20 | 2007 | 31 |
About Chao‐Po Lin
Chao‐Po Lin is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Toxicology and Obstetrics and Gynecology, having authored 44 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (9 papers), CRISPR and Genetic Engineering (9 papers), DNA Repair Mechanisms (7 papers), Pluripotent Stem Cells Research (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), MicroRNA in disease regulation (6 papers), RNA Interference and Gene Delivery (5 papers) and RNA regulation and disease (4 papers). The work is most often cited by research in Cancer Research (551 citations), Toxicology (120 citations), Molecular Biology (1.9k citations), Oncology (688 citations) and Aging (35 citations). Chao‐Po Lin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Leroy F. Liu, Yi Lisa Lyu, Anna M. Azarova, Yuan‐Chin Tsai, Yi Ban, Lin He, John E. Kerrigan, James C. Wang, Xingyue He and Pengcheng Bu. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Nature Communications, Cell Reports and Nucleic Acids Research.
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.