Guangbin Xia
Impact in
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- Genetic Neurodegenerative Diseases
- Axon Guidance and Neuronal Signaling
- Aging top 5%
Papers in
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- Mitochondrial Function and Pathology 17
- RNA Research and Splicing 8
- CRISPR and Genetic Engineering 8
- Angiogenesis and VEGF in Cancer 5
- Pluripotent Stem Cells Research 5
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- Genetic Neurodegenerative Diseases 28
- Axon Guidance and Neuronal Signaling 5
- Co-authors
- Tetsuo Ashizawa (25 shared papers)Parkash S. Gill (9 shared papers)Rizwan Masood (6 shared papers)Sutao Zhu (5 shared papers)Maurice S. Swanson (5 shared papers)Valery Krasnoperov (5 shared papers)Yukio Kageyama (5 shared papers)D. Lynne Smith (3 shared papers)
- Journals
- The Cerebellum (2 papers)International Journal of Cancer (2 papers)Molecular Therapy (2 papers)American Journal Of Pathology (2 papers)Parkinsonism & Related Disorders (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Guangbin Xia
47 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 105
- Cellular and Molecular Neuroscience 1.2k
- Aging 44
- Molecular Biology 1.6k
- Neurology 358
- Cell Biology 210
Countries citing papers authored by Guangbin Xia
This map shows the geographic impact of Guangbin Xia'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 Guangbin Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangbin Xia more than expected).
Fields of papers citing papers by Guangbin Xia
This network shows the impact of papers produced by Guangbin Xia. 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 Guangbin Xia. The network helps show where Guangbin Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangbin Xia, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 191 | |
| 2 | 2006 | 154 | |
| 3 | 2005 | 121 | |
| 4 | 2003 | 113 | |
| 5 | 2006 | 109 | |
| 6 | 2017 | 100 | |
| 7 | 2017 | 94 | |
| 8 | 2015 | 80 | |
| 9 | 2005 | 80 | |
| 10 | 2006 | 62 | |
| 11 | 2001 | 62 | |
| 12 | 2004 | 55 | |
| 13 | 2016 | 55 | |
| 14 | 2016 | 52 | |
| 15 | 2001 | 47 | |
| 16 | 2014 | 46 | |
| 17 | 2012 | 46 | |
| 18 | 2016 | 46 | |
| 19 | 2015 | 46 | |
| 20 | 2001 | 45 |
About Guangbin Xia
Guangbin Xia is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Cancer Research and Cell Biology, having authored 47 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (28 papers), Mitochondrial Function and Pathology (17 papers), RNA Research and Splicing (8 papers), CRISPR and Genetic Engineering (8 papers), Neurological disorders and treatments (5 papers), Angiogenesis and VEGF in Cancer (5 papers), Pluripotent Stem Cells Research (5 papers) and Axon Guidance and Neuronal Signaling (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Aging (44 citations), Molecular Biology (1.6k citations), Neurology (358 citations) and Cell Biology (210 citations). Guangbin Xia has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Tetsuo Ashizawa, Parkash S. Gill, Rizwan Masood, Sutao Zhu, Maurice S. Swanson, Valery Krasnoperov, Yukio Kageyama, D. Lynne Smith, Naohiro Terada and Loubna Hassanieh. Their work appears in journals such as The Cerebellum, International Journal of Cancer, Molecular Therapy, American Journal Of Pathology and Parkinsonism & Related Disorders.
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.