Bin Ju
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Virology top 5%
- HIV Research and Treatment
- Poxvirus research and outbreaks
Papers in
-
- SARS-CoV-2 and COVID-19 Research 35
- Virology 13
- HIV Research and Treatment 10
- Poxvirus research and outbreaks 3
- Co-authors
- Zheng Zhang (27 shared papers)Xiangyang Ge (24 shared papers)Bing Zhou (18 shared papers)Huimin Guo (17 shared papers)Lin Cheng (14 shared papers)Shuo Song (10 shared papers)Haiyan Wang (7 shared papers)Rui Zhang (2 shared papers)
- Journals
- Virology Journal (5 papers)Nature Communications (5 papers)Emerging Microbes & Infections (4 papers)Cell Reports (3 papers)Cell Research (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bin Ju
49 papers receiving 2.4k citations
Bin Ju's Hit Papers
Peers
Comparison fields: 5 of 81
- Infectious Diseases 2.1k
- Virology 114
- Structural Biology 23
- Modeling and Simulation 16
- Radiology, Nuclear Medicine and Imaging 62
Countries citing papers authored by Bin Ju
This map shows the geographic impact of Bin Ju'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 Bin Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ju more than expected).
Fields of papers citing papers by Bin Ju
This network shows the impact of papers produced by Bin Ju. 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 Bin Ju. The network helps show where Bin Ju may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Ju, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human neutralizing antibodies elicited by SARS-CoV-2 infection Hit paper breakdown → | 2020 | 1352 |
| 2 | 2021 | 179 | |
| 3 | 2020 | 149 | |
| 4 | 2021 | 118 | |
| 5 | 2021 | 86 | |
| 6 | 2016 | 76 | |
| 7 | 2021 | 63 | |
| 8 | 2022 | 37 | |
| 9 | 2023 | 35 | |
| 10 | 2024 | 30 | |
| 11 | 2022 | 28 | |
| 12 | 2021 | 27 | |
| 13 | 2020 | 21 | |
| 14 | 2021 | 20 | |
| 15 | 2021 | 18 | |
| 16 | 2022 | 17 | |
| 17 | 2023 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 2022 | 15 | |
| 20 | 2023 | 14 |
About Bin Ju
Bin Ju is a scholar working on Infectious Diseases, Virology, Emergency Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 53 papers that have together received 2.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (35 papers), HIV Research and Treatment (10 papers), Poxvirus research and outbreaks (3 papers), HIV-related health complications and treatments (2 papers), Virology and Viral Diseases (2 papers), Monoclonal and Polyclonal Antibodies Research (1 paper), Hepatitis B Virus Studies (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Infectious Diseases (2.1k citations), Virology (114 citations), Structural Biology (23 citations), Modeling and Simulation (16 citations) and Radiology, Nuclear Medicine and Imaging (62 citations). Bin Ju has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zheng Zhang, Xiangyang Ge, Bing Zhou, Huimin Guo, Lin Cheng, Shuo Song, Haiyan Wang, Rui Zhang, Linqi Zhang and Xuanling Shi. Their work appears in journals such as Virology Journal, Nature Communications, Emerging Microbes & Infections, Cell Reports and Cell Research.
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.