Lanlan Wei
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
-
- COVID-19 Impact on Reproduction
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 detection and testing 2
-
- NF-κB Signaling Pathways 2
- Co-authors
- Zheng Zhang (7 shared papers)Xuejiao Liao (6 shared papers)Haiyan Wang (5 shared papers)Lei Liu (3 shared papers)Mingzhao Xing (1 shared paper)Juanjuan Zhao (2 shared papers)Fengmin Zhang (1 shared paper)Hongxi Gu (1 shared paper)
- Journals
- Emerging Microbes & Infections (2 papers)Frontiers in Medicine (2 papers)Frontiers in Immunology (2 papers)Cancer Science (1 paper)Clinical and Translational Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Lanlan Wei
16 papers receiving 306 citations
Peers
Comparison fields: 5 of 66
- Infectious Diseases 141
- Obstetrics and Gynecology 18
- Modeling and Simulation 12
- Neurology 32
- Cancer Research 20
Countries citing papers authored by Lanlan Wei
This map shows the geographic impact of Lanlan Wei'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 Lanlan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanlan Wei more than expected).
Fields of papers citing papers by Lanlan Wei
This network shows the impact of papers produced by Lanlan Wei. 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 Lanlan Wei. The network helps show where Lanlan Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Lanlan Wei, 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 | 2020 | 92 | |
| 2 | 2021 | 49 | |
| 3 | 2013 | 47 | |
| 4 | 2022 | 29 | |
| 5 | 2022 | 22 | |
| 6 | 2022 | 19 | |
| 7 | 2022 | 16 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2018 | 2 | |
| 16 | 2019 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Lanlan Wei
Lanlan Wei is a scholar working on Infectious Diseases, Cancer Research, Neurology, Molecular Biology and Immunology, having authored 18 papers that have together received 311 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers), NF-κB Signaling Pathways (2 papers), SARS-CoV-2 detection and testing (2 papers), Long-Term Effects of COVID-19 (2 papers), COVID-19 epidemiological studies (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Infectious Diseases (141 citations), Obstetrics and Gynecology (18 citations), Modeling and Simulation (12 citations), Neurology (32 citations) and Cancer Research (20 citations). Lanlan Wei has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Zheng Zhang, Xuejiao Liao, Haiyan Wang, Lei Liu, Mingzhao Xing, Juanjuan Zhao, Fengmin Zhang, Hongxi Gu, Catharina Lavebratt and Haiping Wang. Their work appears in journals such as Emerging Microbes & Infections, Frontiers in Medicine, Frontiers in Immunology, Cancer Science and Clinical and Translational 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.