Lan Wen
Impact in
- Neurology top 5%
- Vagus Nerve Stimulation Research
- Neuroinflammation and Neurodegeneration Mechanisms
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- Electrocatalysts for Energy Conversion
Papers in
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- Vagus Nerve Stimulation Research 2
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- Adenosine and Purinergic Signaling 2
- Co-authors
- Jingxi Ma (5 shared papers)Qinbin Zhang (6 shared papers)Keming Zhang (6 shared papers)Changqing Li (4 shared papers)Jiani Li (4 shared papers)Lingchuan Niu (3 shared papers)Wei CHEN (1 shared paper)Wenping Sun (1 shared paper)
- Journals
- Nature Communications (2 papers)Frontiers in Psychology (2 papers)Measurement and Evaluation in Counseling and Development (1 paper)BMC Biology (1 paper)Carbohydrate Polymers (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lan Wen
31 papers receiving 824 citations
Peers
Comparison fields: 5 of 109
- Neurology 217
- Renewable Energy, Sustainability and the Environment 134
- Developmental Neuroscience 15
- Electronic, Optical and Magnetic Materials 63
- Electrochemistry 18
Countries citing papers authored by Lan Wen
This map shows the geographic impact of Lan Wen'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 Lan Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wen more than expected).
Fields of papers citing papers by Lan Wen
This network shows the impact of papers produced by Lan Wen. 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 Lan Wen. The network helps show where Lan Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Wen, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 144 | |
| 2 | 2021 | 131 | |
| 3 | 2021 | 70 | |
| 4 | 2021 | 66 | |
| 5 | 2020 | 65 | |
| 6 | 2021 | 59 | |
| 7 | 2019 | 53 | |
| 8 | 2018 | 52 | |
| 9 | 2020 | 39 | |
| 10 | 2018 | 25 | |
| 11 | 2024 | 17 | |
| 12 | 2019 | 14 | |
| 13 | 2023 | 14 | |
| 14 | 2025 | 12 | |
| 15 | 2024 | 12 | |
| 16 | 2023 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2024 | 12 | |
| 19 | 2016 | 9 | |
| 20 | 2024 | 7 |
About Lan Wen
Lan Wen is a scholar working on Neurology, Physiology, Molecular Biology, Cancer Research and Plant Science, having authored 31 papers that have together received 853 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (2 papers), Vagus Nerve Stimulation Research (2 papers), Mechanisms of cancer metastasis (2 papers), Adenosine and Purinergic Signaling (2 papers), Trace Elements in Health (2 papers), Plant Pathogens and Fungal Diseases (2 papers), Plant-Microbe Interactions and Immunity (2 papers) and Child and Adolescent Psychosocial and Emotional Development (2 papers). The work is most often cited by research in Neurology (217 citations), Renewable Energy, Sustainability and the Environment (134 citations), Developmental Neuroscience (15 citations), Electronic, Optical and Magnetic Materials (63 citations) and Electrochemistry (18 citations). Lan Wen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jingxi Ma, Qinbin Zhang, Keming Zhang, Changqing Li, Jiani Li, Lingchuan Niu, Wei CHEN, Wenping Sun, Haozhou Yang and Fernando Buendía. Their work appears in journals such as Nature Communications, Frontiers in Psychology, Measurement and Evaluation in Counseling and Development, BMC Biology and Carbohydrate Polymers.
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.