Hua Yu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
Papers in
-
- RNA modifications and cancer 6
- Circular RNAs in diseases 4
- Advanced biosensing and bioanalysis techniques 4
- DNA and Nucleic Acid Chemistry 3
-
- Autophagy in Disease and Therapy 3
- Co-authors
- Ashutosh Chilkoti (2 shared papers)Vinalia Tjong (2 shared papers)Angus Hucknall (2 shared papers)Junling Zhou (3 shared papers)Jiawei Wu (3 shared papers)David C. Schwartz (2 shared papers)Li Jiang (2 shared papers)Peifeng Li (6 shared papers)
- Journals
- Analytical Chemistry (2 papers)Frontiers in Physiology (2 papers)Biochemistry and Cell Biology (1 paper)Journal of Cellular Physiology (1 paper)International Journal of Infectious Diseases (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Hua Yu
32 papers receiving 946 citations
Peers
Comparison fields: 5 of 119
- Cancer Research 228
- Infectious Diseases 236
- Molecular Biology 457
- Emergency Medical Services 30
- Modeling and Simulation 18
Countries citing papers authored by Hua Yu
This map shows the geographic impact of Hua Yu'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 Hua Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Yu more than expected).
Fields of papers citing papers by Hua Yu
This network shows the impact of papers produced by Hua Yu. 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 Hua Yu. The network helps show where Hua Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hua Yu, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 247 | |
| 2 | 2011 | 94 | |
| 3 | 2018 | 83 | |
| 4 | 2009 | 58 | |
| 5 | 2018 | 52 | |
| 6 | 2019 | 52 | |
| 7 | 2012 | 42 | |
| 8 | 2020 | 38 | |
| 9 | 2019 | 37 | |
| 10 | 2010 | 25 | |
| 11 | 2011 | 23 | |
| 12 | 2022 | 22 | |
| 13 | 2022 | 21 | |
| 14 | 2006 | 19 | |
| 15 | 2020 | 18 | |
| 16 | 2020 | 17 | |
| 17 | 2022 | 16 | |
| 18 | 2014 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2021 | 12 |
About Hua Yu
Hua Yu is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 960 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (6 papers), Circular RNAs in diseases (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Autophagy in Disease and Therapy (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Cancer Research (228 citations), Infectious Diseases (236 citations), Molecular Biology (457 citations), Emergency Medical Services (30 citations) and Modeling and Simulation (18 citations). Hua Yu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Ashutosh Chilkoti, Vinalia Tjong, Angus Hucknall, Junling Zhou, Jiawei Wu, David C. Schwartz, Li Jiang, Peifeng Li, Zhenglin Yang and Bo Gong. Their work appears in journals such as Analytical Chemistry, Frontiers in Physiology, Biochemistry and Cell Biology, Journal of Cellular Physiology and International Journal of Infectious Diseases.
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.