Tony Hu
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Molecular Biology top 5%
- Advanced biosensing and bioanalysis techniques
- Extracellular vesicles in disease
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
Papers in
-
- SARS-CoV-2 detection and testing 8
- Tuberculosis Research and Epidemiology 8
- SARS-CoV-2 and COVID-19 Research 8
-
- MicroRNA in disease regulation 13
- Co-authors
- Christopher J. LyonJoy WolframMeihua WanMatthew B. FriemanQian HuWenfu TangBo NingZhen Huang
- Journals
- ACS Nano (8 papers)Acta Pharmaceutica Sinica B (5 papers)Biosensors and Bioelectronics (4 papers)Molecular & Cellular Proteomics (2 papers)Theranostics (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Tony Hu
63 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Infectious Diseases 601
- Molecular Biology 1.5k
- Cancer Research 325
- Biomedical Engineering 839
- Immunology 202
Countries citing papers authored by Tony Hu
This map shows the geographic impact of Tony Hu'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 Tony Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Hu more than expected).
Fields of papers citing papers by Tony Hu
This network shows the impact of papers produced by Tony Hu. 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 Tony Hu. The network helps show where Tony Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tony Hu, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 40 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 13 | |
| 12 | Extracellular vesicles in the pathogenesis and treatment of acute lung injury Hit paper breakdown → | 2022 | 121 |
| 13 | 2022 | 6 | |
| 14 | 2D metal carbides and nitrides (MXenes) for sensors and biosensors Hit paper breakdown → | 2022 | 201 |
| 15 | A smartphone-read ultrasensitive and quantitative saliva test for COVID-19 Hit paper breakdown → | 2021 | 196 |
| 16 | 2021 | 12 | |
| 17 | 2021 | 25 | |
| 18 | 2021 | 134 | |
| 19 | 2020 | 46 | |
| 20 | 2019 | 1 |
About Tony Hu
Tony Hu is a scholar working on Infectious Diseases, Cancer Research, Health Informatics, Structural Biology and Industrial and Manufacturing Engineering, having authored 68 papers that have together received 2.6k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (16 papers), MicroRNA in disease regulation (13 papers), SARS-CoV-2 detection and testing (8 papers), Biosensors and Analytical Detection (8 papers), Tuberculosis Research and Epidemiology (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Industrial Vision Systems and Defect Detection (6 papers). The work is most often cited by research in Infectious Diseases (601 citations), Molecular Biology (1.5k citations), Cancer Research (325 citations), Biomedical Engineering (839 citations) and Immunology (202 citations). Tony Hu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Christopher J. Lyon, Joy Wolfram, Meihua Wan, Matthew B. Frieman, Qian Hu, Wenfu Tang, Bo Ning, Zhen Huang, Xiao‐Ming Yin and Chenzhong Li. Their work appears in journals such as ACS Nano, Acta Pharmaceutica Sinica B, Biosensors and Bioelectronics, Molecular & Cellular Proteomics and Theranostics.
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.