Ying Bi
Impact in
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
- Plant-based Medicinal Research
Papers in
-
- Nanoplatforms for cancer theranostics 7
- Surgery 7
- Bladder and Urothelial Cancer Treatments 5
- Co-authors
- Jun Chen (7 shared papers)Yi Hu (7 shared papers)Man Li (3 shared papers)Zhifang Chai (3 shared papers)Jimin Gao (4 shared papers)Lei Zhao (3 shared papers)Jixiang Chen (2 shared papers)Xingwang Li (1 shared paper)
In The Last Decade
Ying Bi
58 papers receiving 1.1k citations
Ying Bi's Hit Papers
Peers
Comparison fields: 5 of 138
- Pharmacology 166
- Complementary and alternative medicine 147
- Biomaterials 166
- Immunology 170
- Infectious Diseases 144
Countries citing papers authored by Ying Bi
This map shows the geographic impact of Ying Bi'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 Ying Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Bi more than expected).
Fields of papers citing papers by Ying Bi
This network shows the impact of papers produced by Ying Bi. 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 Ying Bi. The network helps show where Ying Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Bi, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Efficacy and safety of Lianhuaqingwen capsules, a repurposed Chinese herb, in patients with coronavirus disease 2019: A multicenter, prospective, randomized controlled trial Hit paper breakdown → | 2020 | 338 |
| 2 | 2015 | 140 | |
| 3 | 2019 | 109 | |
| 4 | 2016 | 51 | |
| 5 | 2013 | 35 | |
| 6 | 2017 | 35 | |
| 7 | 2021 | 32 | |
| 8 | 2017 | 30 | |
| 9 | 2018 | 30 | |
| 10 | 2022 | 29 | |
| 11 | 2021 | 22 | |
| 12 | 2018 | 22 | |
| 13 | 2018 | 19 | |
| 14 | 2018 | 17 | |
| 15 | 2007 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2016 | 15 | |
| 18 | 2019 | 15 | |
| 19 | 2022 | 13 | |
| 20 | 2023 | 12 |
About Ying Bi
Ying Bi is a scholar working on Biomedical Engineering, Surgery, Cardiology and Cardiovascular Medicine, Biomaterials and Immunology, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (7 papers), Nanoparticle-Based Drug Delivery (6 papers), Bladder and Urothelial Cancer Treatments (5 papers), Atrial Fibrillation Management and Outcomes (3 papers), Acute Ischemic Stroke Management (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Immune cells in cancer (3 papers) and Hydrocarbon exploration and reservoir analysis (2 papers). The work is most often cited by research in Pharmacology (166 citations), Complementary and alternative medicine (147 citations), Biomaterials (166 citations), Immunology (170 citations) and Infectious Diseases (144 citations). Ying Bi has collaborated with scholars based in China, Malaysia and Japan. Frequent co-authors include Jun Chen, Yi Hu, Man Li, Zhifang Chai, Jimin Gao, Lei Zhao, Jixiang Chen, Xingwang Li, Wei Zhang and Zhongping Duan. Their work appears in journals such as ACS Biomaterials Science & Engineering, Materials, Scientific Reports, American Journal of Industrial Medicine and Microsurgery.
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.