Tianyi Chi
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Cancer, Lipids, and Metabolism
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 9
- Oncology 5
- Cancer-related Molecular Pathways 3
- Co-authors
- George G. Chen (3 shared papers)Paul B.S. Lai (3 shared papers)Haitao Zhao (19 shared papers)Shunda Du (19 shared papers)Yiyao Xu (18 shared papers)Yilei Mao (18 shared papers)Shouxian Zhong (15 shared papers)Xinting Sang (19 shared papers)
- Journals
- Journal of Surgical Oncology (2 papers)Medicine (1 paper)Cancer Cell International (1 paper)The American Journal of Surgery (1 paper)Journal of Gastroenterology and Hepatology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Tianyi Chi
27 papers receiving 578 citations
Peers
Comparison fields: 5 of 70
- Hepatology 202
- Cancer Research 69
- Epidemiology 134
- Oncology 94
- Cell Biology 46
Countries citing papers authored by Tianyi Chi
This map shows the geographic impact of Tianyi Chi'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 Tianyi Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianyi Chi more than expected).
Fields of papers citing papers by Tianyi Chi
This network shows the impact of papers produced by Tianyi Chi. 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 Tianyi Chi. The network helps show where Tianyi Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Tianyi Chi, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 211 | |
| 2 | 2006 | 60 | |
| 3 | 2009 | 47 | |
| 4 | 2007 | 37 | |
| 5 | 2007 | 35 | |
| 6 | 2006 | 35 | |
| 7 | 2004 | 33 | |
| 8 | 2015 | 26 | |
| 9 | 2016 | 14 | |
| 10 | 2005 | 14 | |
| 11 | 2012 | 13 | |
| 12 | 2011 | 12 | |
| 13 | 2017 | 11 | |
| 14 | 2014 | 8 | |
| 15 | 2013 | 7 | |
| 16 | 2013 | 6 | |
| 17 | 2017 | 6 | |
| 18 | 2017 | 3 | |
| 19 | 2018 | 2 | |
| 20 | 2016 | 1 |
About Tianyi Chi
Tianyi Chi is a scholar working on Hepatology, Oncology, Epidemiology, Surgery and Molecular Biology, having authored 28 papers that have together received 588 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cancer-related Molecular Pathways (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Neuroendocrine Tumor Research Advances (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Cancer Research and Treatments (2 papers) and IgG4-Related and Inflammatory Diseases (2 papers). The work is most often cited by research in Hepatology (202 citations), Cancer Research (69 citations), Epidemiology (134 citations), Oncology (94 citations) and Cell Biology (46 citations). Tianyi Chi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include George G. Chen, Paul B.S. Lai, Haitao Zhao, Shunda Du, Yiyao Xu, Yilei Mao, Shouxian Zhong, Xinting Sang, Xin Lu and Huayu Yang. Their work appears in journals such as Journal of Surgical Oncology, Medicine, Cancer Cell International, The American Journal of Surgery and Journal of Gastroenterology and Hepatology.
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.