Bei Cai
Impact in
- Transplantation top 5%
- Hepatology top 5%
- Hepatitis C virus research
Papers in
-
- CRISPR and Genetic Engineering 9
- Pluripotent Stem Cells Research 4
- Immunology 15
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 5
- Co-authors
- Lanlan Wang (36 shared papers)Yunying Shi (9 shared papers)Zhuochun Huang (7 shared papers)Qian Niu (8 shared papers)Yulin Chen (13 shared papers)Xiaolong Wang (11 shared papers)Binwu Ying (11 shared papers)Yun Liao (12 shared papers)
In The Last Decade
Bei Cai
84 papers receiving 1.7k citations
Bei Cai's Hit Papers
Peers
Comparison fields: 5 of 121
- Transplantation 71
- Hepatology 171
- Immunology 288
- Business and International Management 27
- Genetics 334
Countries citing papers authored by Bei Cai
This map shows the geographic impact of Bei Cai'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 Bei Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Cai more than expected).
Fields of papers citing papers by Bei Cai
This network shows the impact of papers produced by Bei Cai. 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 Bei Cai. The network helps show where Bei Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei Cai, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 206 | |
| 2 | Gut microbiota in pre-clinical rheumatoid arthritis: From pathogenesis to preventing progression Hit paper breakdown → | 2023 | 89 |
| 3 | 2016 | 76 | |
| 4 | 2011 | 73 | |
| 5 | 2019 | 72 | |
| 6 | 2016 | 68 | |
| 7 | 2007 | 58 | |
| 8 | 2012 | 53 | |
| 9 | 2012 | 53 | |
| 10 | 2013 | 49 | |
| 11 | 2012 | 35 | |
| 12 | 2017 | 35 | |
| 13 | 2018 | 34 | |
| 14 | 2017 | 33 | |
| 15 | 2015 | 33 | |
| 16 | 2019 | 33 | |
| 17 | 2014 | 31 | |
| 18 | 2012 | 29 | |
| 19 | 2017 | 28 | |
| 20 | 2014 | 27 |
About Bei Cai
Bei Cai is a scholar working on Molecular Biology, Immunology, Epidemiology, Genetics and Surgery, having authored 90 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (10 papers), CRISPR and Genetic Engineering (9 papers), Animal Genetics and Reproduction (7 papers), Immune Cell Function and Interaction (7 papers), Hepatitis C virus research (5 papers), T-cell and B-cell Immunology (5 papers), Pluripotent Stem Cells Research (4 papers) and Renal Transplantation Outcomes and Treatments (3 papers). The work is most often cited by research in Transplantation (71 citations), Hepatology (171 citations), Immunology (288 citations), Business and International Management (27 citations) and Genetics (334 citations). Bei Cai has collaborated with scholars based in China, Germany and Egypt. Frequent co-authors include Lanlan Wang, Yunying Shi, Zhuochun Huang, Qian Niu, Yulin Chen, Xiaolong Wang, Binwu Ying, Yun Liao, Shiwei Zhou and Junlong Zhang. Their work appears in journals such as PLoS ONE, Scientific Reports, International Immunopharmacology, Journal of Clinical Laboratory Analysis and Infection Genetics and Evolution.
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.