Ya Zhao
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
-
- Mitochondrial Function and Pathology
- Photosynthetic Processes and Mechanisms
Papers in
-
- Mitochondrial Function and Pathology 4
- Photosynthetic Processes and Mechanisms 4
-
- SARS-CoV-2 and COVID-19 Research 7
- SARS-CoV-2 detection and testing 4
- Co-authors
- Lele Ji (3 shared papers)Qichao Huang (3 shared papers)Jinliang Xing (3 shared papers)Jun Li (2 shared papers)Xian Sheng Zhang (10 shared papers)Xiang Zhao (10 shared papers)Yi Wei (7 shared papers)Fei Li (2 shared papers)
- Journals
- Frontiers in Immunology (3 papers)CNS Neuroscience & Therapeutics (3 papers)PLANT PHYSIOLOGY (2 papers)Parasitology Research (2 papers)Transboundary and Emerging Diseases (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ya Zhao
56 papers receiving 828 citations
Peers
Comparison fields: 5 of 93
- Infectious Diseases 150
- Molecular Biology 397
- Immunology 97
- Cancer Research 69
- Animal Science and Zoology 45
Countries citing papers authored by Ya Zhao
This map shows the geographic impact of Ya Zhao'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 Ya Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Zhao more than expected).
Fields of papers citing papers by Ya Zhao
This network shows the impact of papers produced by Ya Zhao. 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 Ya Zhao. The network helps show where Ya Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Zhao, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 93 | |
| 2 | 2020 | 91 | |
| 3 | 2017 | 87 | |
| 4 | 2019 | 39 | |
| 5 | 2014 | 38 | |
| 6 | 2021 | 35 | |
| 7 | 2019 | 34 | |
| 8 | 2021 | 28 | |
| 9 | 2020 | 26 | |
| 10 | 2021 | 23 | |
| 11 | 2017 | 21 | |
| 12 | 2022 | 19 | |
| 13 | 2022 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2019 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2014 | 15 | |
| 19 | 2023 | 15 | |
| 20 | 2021 | 14 |
About Ya Zhao
Ya Zhao is a scholar working on Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health, Immunology and Epidemiology, having authored 61 papers that have together received 842 indexed citations. Recurring topics across this work include Malaria Research and Control (10 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Animal Disease Management and Epidemiology (6 papers), Hepatitis B Virus Studies (4 papers), SARS-CoV-2 detection and testing (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Mitochondrial Function and Pathology (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). The work is most often cited by research in Infectious Diseases (150 citations), Molecular Biology (397 citations), Immunology (97 citations), Cancer Research (69 citations) and Animal Science and Zoology (45 citations). Ya Zhao has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Lele Ji, Qichao Huang, Jinliang Xing, Jun Li, Xian Sheng Zhang, Xiang Zhao, Yi Wei, Fei Li, Qiang Zhang and Linjie He. Their work appears in journals such as Frontiers in Immunology, CNS Neuroscience & Therapeutics, PLANT PHYSIOLOGY, Parasitology Research and Transboundary and Emerging 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.