Xunlei Zhou
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms 4
- Molecular Biology top 5%
- Developmental Biology and Gene Regulation 12
- Epigenetics and DNA Methylation 11
- Hedgehog Signaling Pathway Studies 5
- Pluripotent Stem Cells Research 3
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders 5
- Aging top 10%
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- Axon Guidance and Neuronal Signaling 4
- Photoreceptor and optogenetics research 3
- Co-authors
- Peter GrußTill MarquardtRuth Ashery‐PadanMichael R. KuehnHiroshi SasakiBrigid L.M. HoganLinda A. LoweGonzalo Álvarez‐Bolado
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Xunlei Zhou
29 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Developmental Neuroscience 159
- Molecular Biology 1.6k
- Endocrine and Autonomic Systems 141
- Genetics 478
- Aging 27
Countries citing papers authored by Xunlei Zhou
This map shows the geographic impact of Xunlei Zhou'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 Xunlei Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xunlei Zhou more than expected).
Fields of papers citing papers by Xunlei Zhou
This network shows the impact of papers produced by Xunlei Zhou. 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 Xunlei Zhou. The network helps show where Xunlei Zhou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xunlei Zhou, 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 | 2021 | 3 | |
| 2 | 2020 | 38 | |
| 3 | 2019 | 19 | |
| 4 | 2019 | 31 | |
| 5 | 2017 | 7 | |
| 6 | 2015 | 38 | |
| 7 | 2015 | 11 | |
| 8 | 2013 | 12 | |
| 9 | 2011 | 53 | |
| 10 | 2009 | 88 | |
| 11 | 2009 | 66 | |
| 12 | 2008 | 45 | |
| 13 | 2007 | 29 | |
| 14 | 2007 | 51 | |
| 15 | 2004 | 126 | |
| 16 | 2000 | 73 | |
| 17 | 2000 | 461 | |
| 18 | 2000 | 28 | |
| 19 | Nodal is a novel TGF-β-like gene expressed in the mouse node during gastrulationbreakdown → | 1993 | 518 |
| 20 | 1992 | 90 |
About Xunlei Zhou
Xunlei Zhou is a scholar working on Developmental Neuroscience, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 2.0k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (12 papers), Epigenetics and DNA Methylation (11 papers), Hedgehog Signaling Pathway Studies (5 papers), Genetics and Neurodevelopmental Disorders (5 papers), Axon Guidance and Neuronal Signaling (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Photoreceptor and optogenetics research (3 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Developmental Neuroscience (159 citations), Molecular Biology (1.6k citations) and Endocrine and Autonomic Systems (141 citations). Xunlei Zhou has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Peter Gruß, Till Marquardt, Ruth Ashery‐Padan, Michael R. Kuehn, Hiroshi Sasaki, Brigid L.M. Hogan, Linda A. Lowe, Gonzalo Álvarez‐Bolado, Tianyu Zhao and Thomas Hollemann. Their work appears in journals such as Nature, Journal of Neuroscience and Genes & Development.
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.