Aiping Deng
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 2%
- Long-Term Effects of COVID-19
Papers in
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- Angiogenesis and VEGF in Cancer 4
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- COVID-19 Clinical Research Studies 11
- Viral Infections and Vectors 6
- SARS-CoV-2 and COVID-19 Research 6
- Co-authors
- Juyi Li (26 shared papers)Hongmei Zhang (7 shared papers)Jian Chen (2 shared papers)Xiufang Wang (17 shared papers)Xiufang Wang (1 shared paper)Jian Chen (1 shared paper)Biao Cheng (5 shared papers)Dong Yang (2 shared papers)
- Journals
- Frontiers in Psychiatry (4 papers)China CDC Weekly (3 papers)PLoS ONE (3 papers)Frontiers in Public Health (3 papers)Frontiers in Medicine (3 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Aiping Deng
108 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 148
- Infectious Diseases 991
- Neurology 384
- Modeling and Simulation 112
- Periodontics 61
- Endocrinology, Diabetes and Metabolism 208
Countries citing papers authored by Aiping Deng
This map shows the geographic impact of Aiping Deng'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 Aiping Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aiping Deng more than expected).
Fields of papers citing papers by Aiping Deng
This network shows the impact of papers produced by Aiping Deng. 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 Aiping Deng. The network helps show where Aiping Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Aiping Deng, 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 386 | |
| 2 | 2020 | 343 | |
| 3 | 2020 | 300 | |
| 4 | 2020 | 110 | |
| 5 | 2013 | 107 | |
| 6 | 2016 | 75 | |
| 7 | 2017 | 69 | |
| 8 | 2016 | 62 | |
| 9 | 2018 | 57 | |
| 10 | 2020 | 57 | |
| 11 | 2017 | 49 | |
| 12 | 2016 | 46 | |
| 13 | 2017 | 36 | |
| 14 | 2020 | 29 | |
| 15 | 2021 | 28 | |
| 16 | 2018 | 28 | |
| 17 | 2020 | 26 | |
| 18 | 2014 | 24 | |
| 19 | 2016 | 23 | |
| 20 | 2018 | 20 |
About Aiping Deng
Aiping Deng is a scholar working on Molecular Biology, Infectious Diseases, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Oncology, having authored 121 papers that have together received 2.5k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (11 papers), Mosquito-borne diseases and control (9 papers), Genetic factors in colorectal cancer (7 papers), Viral Infections and Vectors (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Bacteriophages and microbial interactions (5 papers), Biosensors and Analytical Detection (4 papers) and Angiogenesis and VEGF in Cancer (4 papers). The work is most often cited by research in Infectious Diseases (991 citations), Neurology (384 citations), Modeling and Simulation (112 citations), Periodontics (61 citations) and Endocrinology, Diabetes and Metabolism (208 citations). Aiping Deng has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Juyi Li, Hongmei Zhang, Jian Chen, Xiufang Wang, Xiufang Wang, Jian Chen, Biao Cheng, Dong Yang, Yuchen Chen and Kun Huang. Their work appears in journals such as Frontiers in Psychiatry, China CDC Weekly, PLoS ONE, Frontiers in Public Health and Frontiers in Medicine.
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.