Xiaoyan Lan
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Barrier Structure and Function Studies
Papers in
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- Neurogenesis and neuroplasticity mechanisms 5
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- Intracerebral and Subarachnoid Hemorrhage Research 2
- Barrier Structure and Function Studies 2
- Co-authors
- Chengyan Chu (11 shared papers)Shen Li (9 shared papers)Zhengwu Sun (6 shared papers)Johannes Boltze (2 shared papers)Piotr Walczak (7 shared papers)Yue Gao (4 shared papers)Guanshu Liu (3 shared papers)Mirosław Janowski (6 shared papers)
- Journals
- Journal of Cerebral Blood Flow & Metabolism (2 papers)APOPTOSIS (1 paper)Frontiers in Public Health (1 paper)Stem Cell Reviews and Reports (1 paper)Nature Protocols (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaoyan Lan
27 papers receiving 483 citations
Peers
Comparison fields: 5 of 87
- Developmental Neuroscience 43
- Neurology 86
- Genetics 76
- Biological Psychiatry 10
- Internal Medicine 12
Countries citing papers authored by Xiaoyan Lan
This map shows the geographic impact of Xiaoyan Lan'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 Xiaoyan Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyan Lan more than expected).
Fields of papers citing papers by Xiaoyan Lan
This network shows the impact of papers produced by Xiaoyan Lan. 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 Xiaoyan Lan. The network helps show where Xiaoyan Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyan Lan, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 78 | |
| 2 | 2013 | 67 | |
| 3 | 2021 | 60 | |
| 4 | 2019 | 42 | |
| 5 | 2021 | 34 | |
| 6 | 2015 | 29 | |
| 7 | 2017 | 29 | |
| 8 | 2013 | 23 | |
| 9 | 2018 | 19 | |
| 10 | 2019 | 19 | |
| 11 | 2020 | 16 | |
| 12 | 2020 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2015 | 10 | |
| 15 | 2025 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2009 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2025 | 4 | |
| 20 | 2025 | 3 |
About Xiaoyan Lan
Xiaoyan Lan is a scholar working on Developmental Neuroscience, Neurology, Genetics, Molecular Biology and Oncology, having authored 28 papers that have together received 496 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Glioma Diagnosis and Treatment (2 papers), Acute Ischemic Stroke Management (2 papers), Inflammasome and immune disorders (2 papers), Barrier Structure and Function Studies (2 papers), Mesenchymal stem cell research (2 papers) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Developmental Neuroscience (43 citations), Neurology (86 citations), Genetics (76 citations), Biological Psychiatry (10 citations) and Internal Medicine (12 citations). Xiaoyan Lan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chengyan Chu, Shen Li, Zhengwu Sun, Johannes Boltze, Piotr Walczak, Yue Gao, Guanshu Liu, Mirosław Janowski, Aline M. Thomas and Jialin Zheng. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, APOPTOSIS, Frontiers in Public Health, Stem Cell Reviews and Reports and Nature Protocols.
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.