Tianyi Wang
Impact in
- Hepatology top 10%
- Hepatitis C virus research
-
- Phytochemicals and Antioxidant Activities
Papers in
- Co-authors
- Jinghai Zhang (1 shared paper)Siling Wang (1 shared paper)Wei Li (1 shared paper)Leland J. Yee (1 shared paper)Darmendra Ramcharran (1 shared paper)Hari S. Conjeevaram (1 shared paper)Roger G. Evans (1 shared paper)Steven H. Belle (1 shared paper)
- Journals
- Journal of Clinical Oncology (1 paper)Journal of Neuroinflammation (1 paper)Hepatology (1 paper)Chemico-Biological Interactions (1 paper)IEEE Transactions on Vehicular Technology (1 paper)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Tianyi Wang
19 papers receiving 335 citations
Peers
Comparison fields: 5 of 78
- Hepatology 57
- Biochemistry 24
- Pharmacology 23
- Hematology 24
- Oncology 54
Countries citing papers authored by Tianyi Wang
This map shows the geographic impact of Tianyi Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianyi Wang more than expected).
Fields of papers citing papers by Tianyi Wang
This network shows the impact of papers produced by Tianyi Wang. 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 Wang. The network helps show where Tianyi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tianyi Wang, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 90 | |
| 2 | 2010 | 65 | |
| 3 | 2008 | 32 | |
| 4 | 2020 | 21 | |
| 5 | 2021 | 19 | |
| 6 | 2020 | 18 | |
| 7 | 2014 | 17 | |
| 8 | 2016 | 16 | |
| 9 | 2021 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 8 | |
| 12 | POU2F1 induces the immune escape in lung cancer by up-regulating PD-L1. | 2021 | 8 |
| 13 | 2017 | 7 | |
| 14 | 2016 | 7 | |
| 15 | 2024 | 5 | |
| 16 | 2025 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2018 | 1 | |
| 20 | 2025 | 0 |
About Tianyi Wang
Tianyi Wang is a scholar working on Oncology, Surgery, Computer Networks and Communications, Molecular Biology and Pathology and Forensic Medicine, having authored 22 papers that have together received 344 indexed citations. Recurring topics across this work include CAR-T cell therapy research (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Adolescent and Pediatric Healthcare (1 paper), DNA Repair Mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper), Pregnancy-related medical research (1 paper) and Polymer crystallization and properties (1 paper). The work is most often cited by research in Hepatology (57 citations), Biochemistry (24 citations), Pharmacology (23 citations), Hematology (24 citations) and Oncology (54 citations). Tianyi Wang has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Jinghai Zhang, Siling Wang, Wei Li, Leland J. Yee, Darmendra Ramcharran, Hari S. Conjeevaram, Roger G. Evans, Steven H. Belle, Abdus S. Wahed and Xinyu Wan. Their work appears in journals such as Journal of Clinical Oncology, Journal of Neuroinflammation, Hepatology, Chemico-Biological Interactions and IEEE Transactions on Vehicular Technology.
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.