Yi Bai
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- RNA modifications and cancer 13
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- Cancer-related molecular mechanisms research 10
- Co-authors
- Haitao Zhao (36 shared papers)Junyu Long (31 shared papers)Jianzhen Lin (26 shared papers)Xiaobo Yang (16 shared papers)Dongxu Wang (16 shared papers)Xinting Sang (21 shared papers)Xu Yang (6 shared papers)Weiyu Xu (12 shared papers)
- Journals
- World Journal of Gastroenterology (6 papers)Frontiers in Oncology (5 papers)Annals of Translational Medicine (3 papers)Aging (3 papers)Cancer Management and Research (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yi Bai
96 papers receiving 2.3k citations
Yi Bai's Hit Papers
Peers
Comparison fields: 5 of 134
- Cancer Research 516
- Hepatology 156
- Oncology 433
- Pulmonary and Respiratory Medicine 389
- Obstetrics and Gynecology 88
Countries citing papers authored by Yi Bai
This map shows the geographic impact of Yi Bai'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 Yi Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Bai more than expected).
Fields of papers citing papers by Yi Bai
This network shows the impact of papers produced by Yi Bai. 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 Yi Bai. The network helps show where Yi Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Bai, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Development and validation of a TP53-associated immune prognostic model for hepatocellular carcinoma Hit paper breakdown → | 2019 | 256 |
| 2 | 2018 | 109 | |
| 3 | 2019 | 101 | |
| 4 | 2019 | 93 | |
| 5 | 2019 | 87 | |
| 6 | 2019 | 83 | |
| 7 | 2020 | 78 | |
| 8 | 2019 | 72 | |
| 9 | 2018 | 58 | |
| 10 | 2017 | 57 | |
| 11 | 2019 | 52 | |
| 12 | 2018 | 50 | |
| 13 | 2020 | 49 | |
| 14 | 2020 | 46 | |
| 15 | 2019 | 41 | |
| 16 | 2018 | 40 | |
| 17 | 2013 | 39 | |
| 18 | 2017 | 37 | |
| 19 | 2020 | 34 | |
| 20 | 2018 | 34 |
About Yi Bai
Yi Bai is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 101 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (13 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers), Cancer-related molecular mechanisms research (10 papers), Ferroptosis and cancer prognosis (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cancer Immunotherapy and Biomarkers (8 papers), Inflammatory Biomarkers in Disease Prognosis (8 papers) and Cancer Mechanisms and Therapy (6 papers). The work is most often cited by research in Cancer Research (516 citations), Hepatology (156 citations), Oncology (433 citations), Pulmonary and Respiratory Medicine (389 citations) and Obstetrics and Gynecology (88 citations). Yi Bai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haitao Zhao, Junyu Long, Jianzhen Lin, Xiaobo Yang, Dongxu Wang, Xinting Sang, Xu Yang, Weiyu Xu, Jianping Xiong and Anqiang Wang. Their work appears in journals such as World Journal of Gastroenterology, Frontiers in Oncology, Annals of Translational Medicine, Aging and Cancer Management and 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.