Lingling Nie
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 4
-
- Plant Stress Responses and Tolerance 6
- Plant nutrient uptake and metabolism 3
Lingling Nie
19 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Infectious Diseases 1.5k
- Animal Science and Zoology 270
- Modeling and Simulation 71
- Plant Science 404
- Molecular Biology 667
Countries citing papers authored by Lingling Nie
This map shows the geographic impact of Lingling Nie'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 Lingling Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingling Nie more than expected).
Fields of papers citing papers by Lingling Nie
This network shows the impact of papers produced by Lingling Nie. 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 Lingling Nie. The network helps show where Lingling Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingling Nie, 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 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 5 | |
| 5 | 2020 | 241 | |
| 6 | The Impact of Mutations in SARS-CoV-2 Spike on Viral Infectivity and Antigenicity Hit paper breakdown → | 2020 | 957 |
| 7 | Establishment and validation of a pseudovirus neutralization assay for SARS-CoV-2 Hit paper breakdown → | 2020 | 449 |
| 8 | 2020 | 3 | |
| 9 | 2015 | 33 | |
| 10 | 2015 | 51 | |
| 11 | 2015 | 38 | |
| 12 | 2014 | 19 | |
| 13 | 2014 | 78 | |
| 14 | 2013 | 43 | |
| 15 | 2012 | 17 | |
| 16 | 2011 | 16 | |
| 17 | 2011 | 69 | |
| 18 | 2011 | 58 | |
| 19 | 2011 | 35 | |
| 20 | 2011 | 5 |
About Lingling Nie
Lingling Nie is a scholar working on Infectious Diseases, Plant Science, Environmental Chemistry, Biochemistry and Molecular Biology, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Bacteriophages and microbial interactions (3 papers), Plant nutrient uptake and metabolism (3 papers), Virus-based gene therapy research (2 papers), Molecular Biology Techniques and Applications (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Animal Science and Zoology (270 citations), Modeling and Simulation (71 citations), Plant Science (404 citations) and Molecular Biology (667 citations). Lingling Nie has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Weijin Huang, Haiyang Qin, Jianhui Nie, Qiyu Sun, Qianqian Li, Qiong Lu, Youchun Wang, Huan Liu, Chenyan Zhao and Li Zhang. Their work appears in journals such as Plant Cell & Environment, Journal of Experimental Botany, European Journal of Medicinal Chemistry, Virus Research and Bulletin of Environmental Contamination and Toxicology.
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.