Weixiang Bian
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
-
- Phagocytosis and Immune Regulation
Papers in
-
- Ubiquitin and proteasome pathways 4
- Developmental Biology and Gene Regulation 2
- Glycosylation and Glycoproteins Research 1
- Melanoma and MAPK Pathways 1
- Oncology 2
- Co-authors
- Xu Li (8 shared papers)Yingnan Hou (2 shared papers)Aifu Lin (2 shared papers)Shaofang Xie (2 shared papers)Lu Lu (1 shared paper)Youhua Xie (1 shared paper)Jing Huang (1 shared paper)Kunpeng Liu (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Biochemical and Biophysical Research Communications (1 paper)Cell Research (1 paper)Developmental Cell (1 paper)Hepatology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Weixiang Bian
10 papers receiving 475 citations
Weixiang Bian's Hit Papers
Peers
Comparison fields: 5 of 70
- Infectious Diseases 250
- Immunology 98
- Neurology 46
- Cancer Research 41
- Molecular Biology 170
Countries citing papers authored by Weixiang Bian
This map shows the geographic impact of Weixiang Bian'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 Weixiang Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weixiang Bian more than expected).
Fields of papers citing papers by Weixiang Bian
This network shows the impact of papers produced by Weixiang Bian. 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 Weixiang Bian. The network helps show where Weixiang Bian may publish in the future.
Co-authors
The 25 scholars most cited alongside Weixiang Bian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | AXL is a candidate receptor for SARS-CoV-2 that promotes infection of pulmonary and bronchial epithelial cells Hit paper breakdown → | 2021 | 340 |
| 2 | 2023 | 42 | |
| 3 | 2021 | 30 | |
| 4 | 2022 | 17 | |
| 5 | 2016 | 11 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2017 | 7 | |
| 10 | 2015 | 3 | |
| 11 | 2026 | 0 | |
| 12 | 2025 | 0 |
About Weixiang Bian
Weixiang Bian is a scholar working on Molecular Biology, Oncology, Cell Biology, Infectious Diseases and Neurology, having authored 12 papers that have together received 480 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Developmental Biology and Gene Regulation (2 papers), Acute Myeloid Leukemia Research (1 paper), Cerebrovascular and genetic disorders (1 paper), Glycosylation and Glycoproteins Research (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Enzyme Structure and Function (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Infectious Diseases (250 citations), Immunology (98 citations), Neurology (46 citations), Cancer Research (41 citations) and Molecular Biology (170 citations). Weixiang Bian has collaborated with scholars based in China and United States. Frequent co-authors include Xu Li, Yingnan Hou, Aifu Lin, Shaofang Xie, Lu Lu, Youhua Xie, Jing Huang, Kunpeng Liu, Shibo Jiang and Zewei Sun. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, Cell Research, Developmental Cell and Hepatology.
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.