Ganlan Bian
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Nerve injury and regeneration 5
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- Sphingolipid Metabolism and Signaling 3
- Lipid Membrane Structure and Behavior 2
- Co-authors
- Caiyong Yu (10 shared papers)Gong Ju (9 shared papers)Ling Liu (8 shared papers)Jian Wang (8 shared papers)Liang-Wei Chen (4 shared papers)Yanqin Wang (4 shared papers)Qian Xue (5 shared papers)Bing Song (3 shared papers)
- Journals
- Molecular Neurobiology (2 papers)Molecular Therapy (1 paper)Scientific Reports (1 paper)Neurotherapeutics (1 paper)Neuroscience (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Ganlan Bian
19 papers receiving 505 citations
Peers
Comparison fields: 5 of 76
- Developmental Neuroscience 74
- Neurology 132
- Biological Psychiatry 19
- Cellular and Molecular Neuroscience 114
- Immunology 110
Countries citing papers authored by Ganlan Bian
This map shows the geographic impact of Ganlan Bian'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 Ganlan Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ganlan Bian more than expected).
Fields of papers citing papers by Ganlan Bian
This network shows the impact of papers produced by Ganlan Bian. 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 Ganlan Bian. The network helps show where Ganlan Bian may publish in the future.
Co-authors
The 25 scholars most cited alongside Ganlan Bian, 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 | 2014 | 123 | |
| 2 | 2016 | 61 | |
| 3 | 2014 | 57 | |
| 4 | 2007 | 45 | |
| 5 | 2019 | 33 | |
| 6 | 2015 | 29 | |
| 7 | 2023 | 22 | |
| 8 | 2020 | 21 | |
| 9 | 2018 | 21 | |
| 10 | 2015 | 20 | |
| 11 | 2008 | 19 | |
| 12 | 2018 | 14 | |
| 13 | 2022 | 11 | |
| 14 | 2007 | 11 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 5 | |
| 17 | 2019 | 3 | |
| 18 | 2012 | 3 | |
| 19 | 2007 | 3 |
About Ganlan Bian
Ganlan Bian is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Neurology and Immunology, having authored 19 papers that have together received 509 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (6 papers), Nerve injury and regeneration (5 papers), MicroRNA in disease regulation (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Sphingolipid Metabolism and Signaling (3 papers), Spinal Cord Injury Research (3 papers), Lipid Membrane Structure and Behavior (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Developmental Neuroscience (74 citations), Neurology (132 citations), Biological Psychiatry (19 citations), Cellular and Molecular Neuroscience (114 citations) and Immunology (110 citations). Ganlan Bian has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Caiyong Yu, Gong Ju, Ling Liu, Jian Wang, Liang-Wei Chen, Yanqin Wang, Qian Xue, Bing Song, Jingjing Zheng and Rong Cao. Their work appears in journals such as Molecular Neurobiology, Molecular Therapy, Scientific Reports, Neurotherapeutics and Neuroscience.
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.