Fu Sun
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Biomedical Engineering top 5%
- Biosensors and Analytical Detection
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Bio-sensing Technologies
Papers in
-
- Biosensors and Analytical Detection 7
- Molecular Communication and Nanonetworks 1
-
- SARS-CoV-2 detection and testing 4
- Co-authors
- Brian T. Cunningham (8 shared papers)Rashid Bashir (7 shared papers)Anurup Ganguli (6 shared papers)William P. King (2 shared papers)Enrique Valera (2 shared papers)Jacob Berger (1 shared paper)Ariana Mostafa (1 shared paper)Sarah A. Stewart de Ramirez (1 shared paper)
- Journals
- Lab on a Chip (2 papers)Biomedical Microdevices (1 paper)Analytical Chemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Analyst (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Fu Sun
10 papers receiving 717 citations
Peers
Comparison fields: 5 of 79
- Infectious Diseases 368
- Biomedical Engineering 564
- Molecular Biology 377
- Biophysics 15
- Radiology, Nuclear Medicine and Imaging 38
Countries citing papers authored by Fu Sun
This map shows the geographic impact of Fu Sun'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 Fu Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fu Sun more than expected).
Fields of papers citing papers by Fu Sun
This network shows the impact of papers produced by Fu Sun. 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 Fu Sun. The network helps show where Fu Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Fu Sun, 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 | 2020 | 324 | |
| 2 | 2017 | 115 | |
| 3 | 2020 | 108 | |
| 4 | 2017 | 72 | |
| 5 | 2020 | 51 | |
| 6 | 2022 | 31 | |
| 7 | 2019 | 12 | |
| 8 | 2020 | 12 | |
| 9 | 2017 | 1 | |
| 10 | 2017 | 1 |
About Fu Sun
Fu Sun is a scholar working on Biomedical Engineering, Infectious Diseases, Epidemiology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 10 papers that have together received 727 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (7 papers), SARS-CoV-2 detection and testing (4 papers), Respiratory viral infections research (3 papers), Mosquito-borne diseases and control (2 papers), Molecular Communication and Nanonetworks (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Infectious Diseases (368 citations), Biomedical Engineering (564 citations), Molecular Biology (377 citations), Biophysics (15 citations) and Radiology, Nuclear Medicine and Imaging (38 citations). Fu Sun has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Brian T. Cunningham, Rashid Bashir, Anurup Ganguli, William P. King, Enrique Valera, Jacob Berger, Ariana Mostafa, Sarah A. Stewart de Ramirez, Hojeong Yu and David Nash. Their work appears in journals such as Lab on a Chip, Biomedical Microdevices, Analytical Chemistry, Proceedings of the National Academy of Sciences and The Analyst.
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.