Beibei Cao
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
-
- Plant Reproductive Biology 5
- Neurology 14
- Neuroinflammation and Neurodegeneration Mechanisms 14
- Co-authors
- Yihua Qiu (16 shared papers)Yu-Ping Peng (16 shared papers)Zhan Liu (8 shared papers)Yan Huang (10 shared papers)Jie Shen (7 shared papers)Jianping Gong (6 shared papers)Daxing Xie (6 shared papers)Liang Liu (4 shared papers)
- Journals
- Scientific Reports (4 papers)Journal of Neuroimmune Pharmacology (3 papers)PLoS ONE (3 papers)Journal of Nanoscience and Nanotechnology (2 papers)Cellular Physiology and Biochemistry (2 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Beibei Cao
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 128
- Neurology 295
- Biological Psychiatry 76
- Neurology 151
- Cellular and Molecular Neuroscience 180
- Immunology 187
Countries citing papers authored by Beibei Cao
This map shows the geographic impact of Beibei Cao'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 Beibei Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Cao more than expected).
Fields of papers citing papers by Beibei Cao
This network shows the impact of papers produced by Beibei Cao. 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 Beibei Cao. The network helps show where Beibei Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibei Cao, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 168 | |
| 2 | 2019 | 130 | |
| 3 | 2016 | 85 | |
| 4 | 2013 | 61 | |
| 5 | 2017 | 59 | |
| 6 | 2023 | 55 | |
| 7 | 2013 | 55 | |
| 8 | 2019 | 54 | |
| 9 | 2014 | 46 | |
| 10 | 2019 | 45 | |
| 11 | 2008 | 44 | |
| 12 | 2022 | 44 | |
| 13 | 2020 | 43 | |
| 14 | 2017 | 40 | |
| 15 | 2018 | 39 | |
| 16 | 2020 | 33 | |
| 17 | 2022 | 30 | |
| 18 | 2020 | 27 | |
| 19 | 2021 | 26 | |
| 20 | 2013 | 25 |
About Beibei Cao
Beibei Cao is a scholar working on Molecular Biology, Neurology, Plant Science, Immunology and Pulmonary and Respiratory Medicine, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Plant Physiology and Cultivation Studies (6 papers), Gastrointestinal Tumor Research and Treatment (5 papers), Gastric Cancer Management and Outcomes (5 papers), Plant Reproductive Biology (5 papers), Metastasis and carcinoma case studies (5 papers), Plant Molecular Biology Research (4 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Neurology (295 citations), Biological Psychiatry (76 citations), Neurology (151 citations), Cellular and Molecular Neuroscience (180 citations) and Immunology (187 citations). Beibei Cao has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Yihua Qiu, Yu-Ping Peng, Zhan Liu, Yan Huang, Jie Shen, Jianping Gong, Daxing Xie, Liang Liu, Yatao Wang and Deding Tao. Their work appears in journals such as Scientific Reports, Journal of Neuroimmune Pharmacology, PLoS ONE, Journal of Nanoscience and Nanotechnology and Cellular Physiology and Biochemistry.
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.