Beibei Yu
Impact in
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- Systemic Lupus Erythematosus Research
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- Immune Cell Function and Interaction
Papers in
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- Extracellular vesicles in disease 3
- Co-authors
- Robert B. Sim (2 shared papers)Adam M. Benham (1 shared paper)H. Haupt (1 shared paper)Alexander Steinkasserer (1 shared paper)Yongfeng Zhang (7 shared papers)Kun-Zhe Wu (2 shared papers)Xiaoping Xu (1 shared paper)Yuan Zhou (1 shared paper)
- Journals
- Frontiers in Genetics (3 papers)Frontiers in Pharmacology (3 papers)Sensors and Actuators A Physical (2 papers)Leukemia Research (2 papers)Theriogenology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Beibei Yu
60 papers receiving 569 citations
Peers
Comparison fields: 5 of 115
- Rheumatology 70
- Immunology 94
- Immunology and Allergy 25
- Neurology 29
- Dermatology 31
Countries citing papers authored by Beibei Yu
This map shows the geographic impact of Beibei Yu'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 Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Yu more than expected).
Fields of papers citing papers by Beibei Yu
This network shows the impact of papers produced by Beibei Yu. 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 Yu. The network helps show where Beibei Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibei Yu, 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 | 1995 | 53 | |
| 2 | 2022 | 37 | |
| 3 | 2009 | 30 | |
| 4 | 2019 | 29 | |
| 5 | 2019 | 26 | |
| 6 | 2016 | 25 | |
| 7 | 2023 | 24 | |
| 8 | 2014 | 18 | |
| 9 | 2017 | 17 | |
| 10 | 2017 | 16 | |
| 11 | Certain progress of clinical research on Chinese integrative medicine. | 1999 | 16 |
| 12 | 2023 | 15 | |
| 13 | 2010 | 15 | |
| 14 | 2024 | 13 | |
| 15 | 2022 | 13 | |
| 16 | 2025 | 13 | |
| 17 | 2021 | 13 | |
| 18 | 2021 | 12 | |
| 19 | 2009 | 12 | |
| 20 | 2020 | 11 |
About Beibei Yu
Beibei Yu is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Pathology and Forensic Medicine and Oncology, having authored 69 papers that have together received 575 indexed citations. Recurring topics across this work include Parasites and Host Interactions (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Spinal Cord Injury Research (4 papers), Nerve injury and regeneration (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Glioma Diagnosis and Treatment (3 papers), Chemokine receptors and signaling (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Rheumatology (70 citations), Immunology (94 citations), Immunology and Allergy (25 citations), Neurology (29 citations) and Dermatology (31 citations). Beibei Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Robert B. Sim, Adam M. Benham, H. Haupt, Alexander Steinkasserer, Yongfeng Zhang, Kun-Zhe Wu, Xiaoping Xu, Yuan Zhou, Di Li and Jinlan Jiang. Their work appears in journals such as Frontiers in Genetics, Frontiers in Pharmacology, Sensors and Actuators A Physical, Leukemia Research and Theriogenology.
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.