Min‐Yu Lan
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Internal Medicine top 10%
Papers in
- Neurology 20
- Neurological disorders and treatments 9
- Parkinson's Disease Mechanisms and Treatments 8
- Neurological diseases and metabolism 6
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- Mitochondrial Function and Pathology 7
- Co-authors
- Yung‐Yee Chang (36 shared papers)Chia‐Wei Liou (12 shared papers)Hon‐Kan Yip (7 shared papers)Jiashou Liu (20 shared papers)Wen‐Neng Chang (5 shared papers)Cheng‐Hsien Lu (5 shared papers)Hsueh‐Wen Chang (3 shared papers)Shung-Lon Lai (7 shared papers)
- Journals
- Stroke (3 papers)Clinical Neurology and Neurosurgery (3 papers)BMC Neurology (2 papers)Critical Care (2 papers)Cells (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Min‐Yu Lan
56 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Neurology 144
- Neurology 241
- Internal Medicine 37
- Hematology 109
- Genetics 85
Countries citing papers authored by Min‐Yu Lan
This map shows the geographic impact of Min‐Yu 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 Min‐Yu Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min‐Yu Lan more than expected).
Fields of papers citing papers by Min‐Yu Lan
This network shows the impact of papers produced by Min‐Yu 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 Min‐Yu Lan. The network helps show where Min‐Yu Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Min‐Yu 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 181 | |
| 2 | 2011 | 81 | |
| 3 | 2004 | 72 | |
| 4 | 2005 | 50 | |
| 5 | 2004 | 50 | |
| 6 | 2015 | 46 | |
| 7 | 2022 | 44 | |
| 8 | 2021 | 43 | |
| 9 | 2021 | 38 | |
| 10 | 2009 | 35 | |
| 11 | 2019 | 30 | |
| 12 | 2013 | 26 | |
| 13 | 2012 | 25 | |
| 14 | 2008 | 23 | |
| 15 | 2003 | 23 | |
| 16 | 2017 | 21 | |
| 17 | 2023 | 20 | |
| 18 | 2008 | 19 | |
| 19 | 2007 | 18 | |
| 20 | 2014 | 18 |
About Min‐Yu Lan
Min‐Yu Lan is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology and Rheumatology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurological disorders and treatments (9 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), Mitochondrial Function and Pathology (7 papers), Acute Ischemic Stroke Management (6 papers), Genetic Neurodegenerative Diseases (6 papers), Neurological diseases and metabolism (6 papers), Metabolism and Genetic Disorders (5 papers) and Systemic Lupus Erythematosus Research (5 papers). The work is most often cited by research in Neurology (144 citations), Neurology (241 citations), Internal Medicine (37 citations), Hematology (109 citations) and Genetics (85 citations). Min‐Yu Lan has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Yung‐Yee Chang, Chia‐Wei Liou, Hon‐Kan Yip, Jiashou Liu, Wen‐Neng Chang, Cheng‐Hsien Lu, Hsueh‐Wen Chang, Shung-Lon Lai, Li‐Teh Chang and Ali A. Youssef. Their work appears in journals such as Stroke, Clinical Neurology and Neurosurgery, BMC Neurology, Critical Care and Cells.
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.