Ning Luan
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
- Epidemiology 13
- Herpesvirus Infections and Treatments 8
-
- Animal Virus Infections Studies 12
- Co-authors
- Ren Lai (11 shared papers)Cunbao Liu (17 shared papers)Han Cao (12 shared papers)Yunfei Wang (12 shared papers)Xiuwen Yan (6 shared papers)Mingqiang Rong (7 shared papers)Zhiye Zhang (4 shared papers)Lin Jin (3 shared papers)
- Journals
- Vaccines (8 papers)Toxins (3 papers)Journal of Medical Virology (2 papers)EBioMedicine (2 papers)Measurement Science and Technology (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ning Luan
33 papers receiving 391 citations
Peers
Comparison fields: 5 of 74
- Microbiology 167
- Animal Science and Zoology 53
- Immunology 84
- Infectious Diseases 62
- Virology 14
Countries citing papers authored by Ning Luan
This map shows the geographic impact of Ning Luan'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 Ning Luan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Luan more than expected).
Fields of papers citing papers by Ning Luan
This network shows the impact of papers produced by Ning Luan. 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 Ning Luan. The network helps show where Ning Luan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Luan, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 111 | |
| 2 | 2016 | 34 | |
| 3 | 2019 | 26 | |
| 4 | 2022 | 22 | |
| 5 | 2015 | 18 | |
| 6 | 2022 | 16 | |
| 7 | 2018 | 15 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2023 | 10 | |
| 13 | 2017 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2019 | 9 | |
| 16 | 2016 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2022 | 5 |
About Ning Luan
Ning Luan is a scholar working on Epidemiology, Animal Science and Zoology, Infectious Diseases, Genetics and Molecular Biology, having authored 36 papers that have together received 394 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (12 papers), Herpesvirus Infections and Treatments (8 papers), Antimicrobial Peptides and Activities (6 papers), Venomous Animal Envenomation and Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Immunotherapy and Immune Responses (4 papers), Biochemical and Structural Characterization (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Microbiology (167 citations), Animal Science and Zoology (53 citations), Immunology (84 citations), Infectious Diseases (62 citations) and Virology (14 citations). Ning Luan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ren Lai, Cunbao Liu, Han Cao, Yunfei Wang, Xiuwen Yan, Mingqiang Rong, Zhiye Zhang, Lin Jin, Qiumin Lu and Yan Chen. Their work appears in journals such as Vaccines, Toxins, Journal of Medical Virology, EBioMedicine and Measurement Science and Technology.
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.