Shi‐Ying Cai
Impact in
- Hepatology top 1%
- Liver Diseases and Immunity
- Liver physiology and pathology
- Oncology top 2%
- Drug Transport and Resistance Mechanisms
Papers in
- Co-authors
- James L. Boyer (42 shared papers)Carol J. Soroka (14 shared papers)Albert Mennone (10 shared papers)Man Li (1 shared paper)Nazzareno Ballatori (7 shared papers)Hongwei He (5 shared papers)Jittima Weerachayaphorn (2 shared papers)Thomas Welte (1 shared paper)
- Journals
- Hepatology (7 papers)American Journal of Physiology-Gastrointestinal and Liver Physiology (6 papers)JCI Insight (3 papers)American Journal of Physiology-Regulatory, Integrative and Comparative Physiology (3 papers)Journal of Lipid Research (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Shi‐Ying Cai
56 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 105
- Hepatology 540
- Oncology 1.2k
- Pharmacology 321
- Epidemiology 694
- Surgery 662
Countries citing papers authored by Shi‐Ying Cai
This map shows the geographic impact of Shi‐Ying Cai'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 Shi‐Ying Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi‐Ying Cai more than expected).
Fields of papers citing papers by Shi‐Ying Cai
This network shows the impact of papers produced by Shi‐Ying Cai. 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 Shi‐Ying Cai. The network helps show where Shi‐Ying Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Shi‐Ying Cai, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 243 | |
| 2 | 2017 | 203 | |
| 3 | 2017 | 200 | |
| 4 | 2000 | 150 | |
| 5 | 2006 | 141 | |
| 6 | 2010 | 96 | |
| 7 | 2018 | 84 | |
| 8 | 2008 | 81 | |
| 9 | 1999 | 77 | |
| 10 | 2010 | 75 | |
| 11 | 2011 | 74 | |
| 12 | 2010 | 73 | |
| 13 | 2021 | 73 | |
| 14 | 2018 | 69 | |
| 15 | 2009 | 62 | |
| 16 | 2020 | 59 | |
| 17 | 2015 | 58 | |
| 18 | 2021 | 53 | |
| 19 | 2016 | 52 | |
| 20 | 2015 | 50 |
About Shi‐Ying Cai
Shi‐Ying Cai is a scholar working on Oncology, Surgery, Molecular Biology, Epidemiology and Hepatology, having authored 57 papers that have together received 2.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (32 papers), Pediatric Hepatobiliary Diseases and Treatments (14 papers), Liver Disease Diagnosis and Treatment (10 papers), Liver Diseases and Immunity (6 papers), Liver physiology and pathology (5 papers), Retinoids in leukemia and cellular processes (5 papers), Epigenetics and DNA Methylation (4 papers) and Pharmacological Effects and Toxicity Studies (4 papers). The work is most often cited by research in Hepatology (540 citations), Oncology (1.2k citations), Pharmacology (321 citations), Epidemiology (694 citations) and Surgery (662 citations). Shi‐Ying Cai has collaborated with scholars based in United States, China and Australia. Frequent co-authors include James L. Boyer, Carol J. Soroka, Albert Mennone, Man Li, Nazzareno Ballatori, Hongwei He, Jittima Weerachayaphorn, Thomas Welte, Yingjian Wang and Y. Eugene Chin. Their work appears in journals such as Hepatology, American Journal of Physiology-Gastrointestinal and Liver Physiology, JCI Insight, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Journal of Lipid 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.