Yi Bai
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in ⓘ
-
- Cancer-related molecular mechanisms research 13
-
- RNA modifications and cancer 13
- 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)Jianping Xiong (12 shared papers)
- Journals
- World Journal of Gastroenterology (6 papers)Frontiers in Oncology (5 papers)BMC Cancer (3 papers)Cancer Management and Research (3 papers)Annals of Translational Medicine (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yi Bai
98 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 147
- Cancer Research 738
- Hepatology 207
- Oncology 601
- Pulmonary and Respiratory Medicine 584
- Obstetrics and Gynecology 111
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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 252 | |
| 2 | 2018 | 109 | |
| 3 | 2019 | 99 | |
| 4 | 2019 | 92 | |
| 5 | 2019 | 84 | |
| 6 | 2019 | 80 | |
| 7 | 2020 | 76 | |
| 8 | 2019 | 69 | |
| 9 | 2018 | 57 | |
| 10 | 2017 | 55 | |
| 11 | 2019 | 51 | |
| 12 | 2018 | 48 | |
| 13 | 2020 | 47 | |
| 14 | 2020 | 43 | |
| 15 | 2018 | 40 | |
| 16 | 2019 | 39 | |
| 17 | 2013 | 39 | |
| 18 | 2017 | 37 | |
| 19 | 2020 | 34 | |
| 20 | 2018 | 33 |
About Yi Bai
Yi Bai is a scholar working on Cancer Research, Molecular Biology, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 108 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (17 papers), Ferroptosis and cancer prognosis (14 papers), RNA modifications and cancer (13 papers), Cancer-related molecular mechanisms research (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Cancer Immunotherapy and Biomarkers (10 papers), Inflammatory Biomarkers in Disease Prognosis (8 papers) and Birth, Development, and Health (8 papers). The work is most often cited by research in Cancer Research (738 citations), Hepatology (207 citations), Oncology (601 citations), Pulmonary and Respiratory Medicine (584 citations) and Obstetrics and Gynecology (111 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, Jianping Xiong, Weiyu Xu and Anqiang Wang. Their work appears in journals such as World Journal of Gastroenterology, Frontiers in Oncology, BMC Cancer, Cancer Management and Research and Annals of Translational Medicine.
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.