Bo Ning
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Pollution top 5%
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
-
- Extracellular vesicles in disease 9
- CRISPR and Genetic Engineering 5
-
- SARS-CoV-2 and COVID-19 Research 7
- SARS-CoV-2 detection and testing 5
- Co-authors
- Christopher J. Lyon (21 shared papers)Nigel Graham (5 shared papers)Jia Fan (11 shared papers)Yanping Zhang (3 shared papers)Tony Hu (11 shared papers)Ye Hu (13 shared papers)Xiao‐Ming Yin (3 shared papers)Zhen Huang (5 shared papers)
- Journals
- ACS Nano (3 papers)Journal of Biological Chemistry (3 papers)Science Advances (2 papers)Journal of Clinical Investigation (2 papers)Journal of Molecular Cell Biology (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Bo Ning
64 papers receiving 2.5k citations
Bo Ning's Hit Papers
Peers
Comparison fields: 5 of 137
- Cancer Research 417
- Pollution 254
- Molecular Biology 1.3k
- Infectious Diseases 320
- Biomedical Engineering 687
Countries citing papers authored by Bo Ning
This map shows the geographic impact of Bo Ning'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 Bo Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Ning more than expected).
Fields of papers citing papers by Bo Ning
This network shows the impact of papers produced by Bo Ning. 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 Bo Ning. The network helps show where Bo Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Ning, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 270 | |
| 2 | A smartphone-read ultrasensitive and quantitative saliva test for COVID-19 Hit paper breakdown → | 2021 | 202 |
| 3 | 2009 | 159 | |
| 4 | 2021 | 141 | |
| 5 | 2006 | 122 | |
| 6 | 2018 | 118 | |
| 7 | 2022 | 111 | |
| 8 | 2022 | 105 | |
| 9 | 2007 | 93 | |
| 10 | 2019 | 83 | |
| 11 | 2018 | 74 | |
| 12 | 2007 | 71 | |
| 13 | 2015 | 63 | |
| 14 | 2016 | 56 | |
| 15 | 2022 | 55 | |
| 16 | 2008 | 53 | |
| 17 | 2020 | 51 | |
| 18 | 2019 | 46 | |
| 19 | 2004 | 44 | |
| 20 | 2019 | 44 |
About Bo Ning
Bo Ning is a scholar working on Molecular Biology, Infectious Diseases, Cancer Research, Epidemiology and Biomedical Engineering, having authored 67 papers that have together received 2.5k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers), MicroRNA in disease regulation (7 papers), 2D Materials and Applications (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers), SARS-CoV-2 detection and testing (5 papers), CRISPR and Genetic Engineering (5 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Cancer Research (417 citations), Pollution (254 citations), Molecular Biology (1.3k citations), Infectious Diseases (320 citations) and Biomedical Engineering (687 citations). Bo Ning has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Christopher J. Lyon, Nigel Graham, Jia Fan, Yanping Zhang, Tony Hu, Ye Hu, Xiao‐Ming Yin, Zhen Huang, John L. Zhou and Di Tian. Their work appears in journals such as ACS Nano, Journal of Biological Chemistry, Science Advances, Journal of Clinical Investigation and Journal of Molecular Cell Biology.
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.