Wei Ni
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Genomics and Phylogenetic Studies 2
-
- Sugarcane Cultivation and Processing 3
- Co-authors
- Yuhan Xing (5 shared papers)Ruqin Gao (3 shared papers)Xiaowen Hu (3 shared papers)Fachun Jiang (3 shared papers)Jing Jia (2 shared papers)Jiwei Liang (1 shared paper)Dan Zhao (1 shared paper)Xin Song (1 shared paper)
- Journals
- The Science of The Total Environment (2 papers)Scientific Reports (2 papers)Frontiers in Veterinary Science (1 paper)Agronomy (1 paper)Journal of Advanced Research (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Wei Ni
25 papers receiving 352 citations
Peers
Comparison fields: 5 of 88
- Infectious Diseases 176
- Modeling and Simulation 31
- Neurology 45
- Obstetrics and Gynecology 23
- General Dentistry 5
Countries citing papers authored by Wei Ni
This map shows the geographic impact of Wei Ni'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 Wei Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ni more than expected).
Fields of papers citing papers by Wei Ni
This network shows the impact of papers produced by Wei Ni. 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 Wei Ni. The network helps show where Wei Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Ni, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 100 | |
| 2 | 2020 | 45 | |
| 3 | 2020 | 32 | |
| 4 | 2017 | 31 | |
| 5 | 2020 | 27 | |
| 6 | 2015 | 16 | |
| 7 | 2021 | 14 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2016 | 6 | |
| 15 | Yield and Quality Responses of Selected Solanaceous Vegetable Crops to Potassium Fertilization | 2001 | 5 |
| 16 | 2019 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2017 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Wei Ni
Wei Ni is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Surgery and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 359 indexed citations. Recurring topics across this work include Sugarcane Cultivation and Processing (3 papers), Biofuel production and bioconversion (3 papers), Air Quality and Health Impacts (3 papers), Genomics and Phylogenetic Studies (2 papers), COVID-19 Clinical Research Studies (2 papers), Animal Disease Management and Epidemiology (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Infectious Diseases (176 citations), Modeling and Simulation (31 citations), Neurology (45 citations), Obstetrics and Gynecology (23 citations) and General Dentistry (5 citations). Wei Ni has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yuhan Xing, Ruqin Gao, Xiaowen Hu, Fachun Jiang, Jing Jia, Jiwei Liang, Dan Zhao, Xin Song, Chao Yu and Hua Shen. Their work appears in journals such as The Science of The Total Environment, Scientific Reports, Frontiers in Veterinary Science, Agronomy and Journal of Advanced Research.
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.