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
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- COVID-19 epidemiological studies
Papers in
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- DNA Repair Mechanisms 2
- RNA modifications and cancer 2
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- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 and COVID-19 Research 4
- SARS-CoV-2 detection and testing 2
- Co-authors
- Xuejiao Liao (4 shared papers)Zheng Zhang (5 shared papers)Haiyan Wang (3 shared papers)Lei Liu (2 shared papers)Mingzhao Xing (1 shared paper)Juanjuan Zhao (1 shared paper)Haiping Wang (1 shared paper)Fengmin Zhang (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Frontiers in Medicine (2 papers)Clinical Infectious Diseases (1 paper)Medicine (1 paper)Oral Oncology (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Lanlan Wei
16 papers receiving 247 citations
Peers
Comparison fields: 5 of 64
- Infectious Diseases 135
- Modeling and Simulation 17
- Obstetrics and Gynecology 22
- Neurology 42
- Cancer Research 23
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 | 81 | |
| 2 | 2013 | 44 | |
| 3 | 2021 | 42 | |
| 4 | 2022 | 26 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2020 | 3 | |
| 12 | [The effect of high-pass filter circuit on accurate measurement of ST-segment]. | 2013 | 2 |
| 13 | 2018 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2019 | 1 | |
| 16 | 2023 | 1 |
About Lanlan Wei
Lanlan Wei is a scholar working on Molecular Biology, Infectious Diseases, Neurology, Cancer Research and Immunology, having authored 16 papers that have together received 253 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Long-Term Effects of COVID-19 (3 papers), SARS-CoV-2 detection and testing (2 papers), DNA Repair Mechanisms (2 papers), RNA modifications and cancer (2 papers), NF-κB Signaling Pathways (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Infectious Diseases (135 citations), Modeling and Simulation (17 citations), Obstetrics and Gynecology (22 citations), Neurology (42 citations) and Cancer Research (23 citations). Lanlan Wei has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Xuejiao Liao, Zheng Zhang, Haiyan Wang, Lei Liu, Mingzhao Xing, Juanjuan Zhao, Haiping Wang, Fengmin Zhang, Hongxi Gu and Catharina Lavebratt. Their work appears in journals such as Frontiers in Immunology, Frontiers in Medicine, Clinical Infectious Diseases, Medicine and Oral Oncology.
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.