Hui Bai
Impact in
- Immunology top 5%
- Immune cells in cancer
- Atherosclerosis and Cardiovascular Diseases
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Photosynthetic Processes and Mechanisms 5
- Immunology 17
- Immune cells in cancer 8
- Co-authors
- Jingjing Ben (33 shared papers)Xudong Zhu (25 shared papers)Hanwen Zhang (22 shared papers)Qi Chen (19 shared papers)Li Gao (19 shared papers)Zhiheng Zhang (18 shared papers)Yong Xu (13 shared papers)Xiaopeng Song (16 shared papers)
- Journals
- Biochemical Pharmacology (5 papers)Nature Communications (5 papers)PLoS ONE (4 papers)Plant Disease (3 papers)Molecular Neurobiology (3 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Hui Bai
104 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 123
- Immunology 394
- Neurology 112
- Molecular Biology 804
- Cancer Research 162
- Biological Psychiatry 26
Countries citing papers authored by Hui Bai
This map shows the geographic impact of Hui 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 Hui Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Bai more than expected).
Fields of papers citing papers by Hui Bai
This network shows the impact of papers produced by Hui 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 Hui Bai. The network helps show where Hui Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 105 | |
| 2 | 2011 | 103 | |
| 3 | 2011 | 84 | |
| 4 | 2020 | 67 | |
| 5 | 2022 | 63 | |
| 6 | 2011 | 63 | |
| 7 | 2012 | 59 | |
| 8 | 2015 | 57 | |
| 9 | 2013 | 53 | |
| 10 | 2021 | 51 | |
| 11 | 2011 | 48 | |
| 12 | 2010 | 47 | |
| 13 | 2017 | 45 | |
| 14 | 2019 | 44 | |
| 15 | 2018 | 39 | |
| 16 | 2012 | 38 | |
| 17 | 2013 | 37 | |
| 18 | 2020 | 34 | |
| 19 | 2016 | 34 | |
| 20 | 2019 | 33 |
About Hui Bai
Hui Bai is a scholar working on Molecular Biology, Immunology, Plant Science, Epidemiology and Pharmacology, having authored 110 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune cells in cancer (8 papers), Plant-Microbe Interactions and Immunity (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Photosynthetic Processes and Mechanisms (5 papers), Anesthesia and Neurotoxicity Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and NF-κB Signaling Pathways (5 papers). The work is most often cited by research in Immunology (394 citations), Neurology (112 citations), Molecular Biology (804 citations), Cancer Research (162 citations) and Biological Psychiatry (26 citations). Hui Bai has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Jingjing Ben, Xudong Zhu, Hanwen Zhang, Qi Chen, Li Gao, Zhiheng Zhang, Yong Xu, Xiaopeng Song, Tianwen Ma and Qing Yang. Their work appears in journals such as Biochemical Pharmacology, Nature Communications, PLoS ONE, Plant Disease and Molecular Neurobiology.
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.