I‐Shing Yu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Ion Transport and Channel Regulation
- Ion channel regulation and function
- RNA Research and Splicing
Papers in
-
- CRISPR and Genetic Engineering 5
- Ion Transport and Channel Regulation 5
- Renal and related cancers 4
- Immunology 11
- Co-authors
- Shu‐Wha Lin (49 shared papers)Shu‐Rung Lin (14 shared papers)Alexander Y. Rudensky (3 shared papers)Li‐Fan Lu (3 shared papers)Shih‐Hua Lin (4 shared papers)Shinichi Uchida (4 shared papers)Ying‐Hung Lin (5 shared papers)Huey‐Kang Sytwu (3 shared papers)
- Journals
- PLoS ONE (7 papers)Nature Communications (6 papers)Scientific Reports (5 papers)Thrombosis and Haemostasis (4 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
I‐Shing Yu
68 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 105
- Cancer Research 292
- Molecular Biology 1.2k
- Sensory Systems 80
- Reproductive Medicine 131
- Cell Biology 200
Countries citing papers authored by I‐Shing Yu
This map shows the geographic impact of I‐Shing Yu'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 I‐Shing Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Shing Yu more than expected).
Fields of papers citing papers by I‐Shing Yu
This network shows the impact of papers produced by I‐Shing Yu. 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 I‐Shing Yu. The network helps show where I‐Shing Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside I‐Shing Yu, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 144 | |
| 2 | 2014 | 120 | |
| 3 | 2011 | 117 | |
| 4 | 1999 | 90 | |
| 5 | 2009 | 80 | |
| 6 | 2007 | 77 | |
| 7 | 2017 | 68 | |
| 8 | 2018 | 57 | |
| 9 | 2011 | 53 | |
| 10 | 2017 | 52 | |
| 11 | 2010 | 51 | |
| 12 | 2012 | 46 | |
| 13 | 2013 | 43 | |
| 14 | 2011 | 42 | |
| 15 | 2000 | 41 | |
| 16 | 2015 | 39 | |
| 17 | 2013 | 38 | |
| 18 | 2020 | 38 | |
| 19 | 2022 | 34 | |
| 20 | 2010 | 33 |
About I‐Shing Yu
I‐Shing Yu is a scholar working on Molecular Biology, Immunology, Cell Biology, Genetics and Cancer Research, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Reproductive Biology and Fertility (5 papers), Sperm and Testicular Function (5 papers), Ion Transport and Channel Regulation (5 papers), Liver physiology and pathology (4 papers), Pancreatic function and diabetes (4 papers), Hemophilia Treatment and Research (4 papers) and Renal and related cancers (4 papers). The work is most often cited by research in Cancer Research (292 citations), Molecular Biology (1.2k citations), Sensory Systems (80 citations), Reproductive Medicine (131 citations) and Cell Biology (200 citations). I‐Shing Yu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Shu‐Wha Lin, Shu‐Rung Lin, Alexander Y. Rudensky, Li‐Fan Lu, Shih‐Hua Lin, Shinichi Uchida, Ying‐Hung Lin, Huey‐Kang Sytwu, Sei Sasaki and Pan‐Chyr Yang. Their work appears in journals such as PLoS ONE, Nature Communications, Scientific Reports, Thrombosis and Haemostasis and International Journal of Molecular Sciences.
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.