Dingyu Zhang
Impact in
- Infectious Diseases top 0.02%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 Clinical Research Studies 13
- SARS-CoV-2 and COVID-19 Research 11
- Co-authors
- Guizhen WuWen‐Ching WangJingdong SongPeihua NiuWenjie TanXuejun MaFaxian ZhanBaoying Huang
- Journals
- Frontiers in Immunology (2 papers)Frontiers in Microbiology (2 papers)Scientific Reports (1 paper)BMB Reports (1 paper)Socius Sociological Research for a Dynamic World (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dingyu Zhang
40 papers receiving 19.8k citations
Hit Papers
Peers
Comparison fields: 5 of 208
- Infectious Diseases 12.4k
- Modeling and Simulation 2.0k
- Neurology 3.7k
- General Dentistry 416
- Obstetrics and Gynecology 975
Countries citing papers authored by Dingyu Zhang
This map shows the geographic impact of Dingyu Zhang'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 Dingyu Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingyu Zhang more than expected).
Fields of papers citing papers by Dingyu Zhang
This network shows the impact of papers produced by Dingyu Zhang. 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 Dingyu Zhang. The network helps show where Dingyu Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dingyu Zhang, 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 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 38 | |
| 8 | 2022 | 5 | |
| 9 | Fast and sensitive detection of SARS-CoV-2 RNA using suboptimal protospacer adjacent motifs for Cas12a Hit paper breakdown → | 2022 | 272 |
| 10 | 2021 | 13 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 5 | |
| 15 | A Novel Coronavirus from Patients with Pneumonia in China, 2019 Hit paper breakdown → | 2020 | 18577 |
| 16 | 2017 | 5 | |
| 17 | 2017 | 107 | |
| 18 | 2017 | 4 | |
| 19 | 2014 | 33 | |
| 20 | 2014 | 19 |
About Dingyu Zhang
Dingyu Zhang is a scholar working on Infectious Diseases, Filtration and Separation, Neurology, Biological Psychiatry and Microbiology, having authored 43 papers that have together received 20.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Long-Term Effects of COVID-19 (7 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA Interference and Gene Delivery (2 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Energy, Environment, and Transportation Policies (2 papers). The work is most often cited by research in Infectious Diseases (12.4k citations), Modeling and Simulation (2.0k citations), Neurology (3.7k citations), General Dentistry (416 citations) and Obstetrics and Gynecology (975 citations). Dingyu Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guizhen Wu, Wen‐Ching Wang, Jingdong Song, Peihua Niu, Wenjie Tan, Xuejun Ma, Faxian Zhan, Baoying Huang, Xingwang Li and Wenbo Xu. Their work appears in journals such as Frontiers in Immunology, Frontiers in Microbiology, Scientific Reports, BMB Reports and Socius Sociological Research for a Dynamic World.
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.