Xiaoning Bi
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 49
- Nerve injury and regeneration 11
-
- Connexins and lens biology 8
- Co-authors
- Michel Baudry (82 shared papers)Gary Lynch (17 shared papers)Yubin Wang (21 shared papers)Christine M. Gall (10 shared papers)Yan Liu (21 shared papers)Víctor Briz (8 shared papers)Guoqi Zhu (10 shared papers)Jun Zhou (6 shared papers)
- Journals
- Journal of Neuroscience (9 papers)Neuroscience (7 papers)Brain Research (7 papers)Proceedings of the National Academy of Sciences (5 papers)Experimental Neurology (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Xiaoning Bi
103 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 117
- Cellular and Molecular Neuroscience 2.1k
- Developmental Neuroscience 356
- Neurology 579
- Cell Biology 1.2k
- Biological Psychiatry 164
Countries citing papers authored by Xiaoning Bi
This map shows the geographic impact of Xiaoning Bi'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 Xiaoning Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoning Bi more than expected).
Fields of papers citing papers by Xiaoning Bi
This network shows the impact of papers produced by Xiaoning Bi. 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 Xiaoning Bi. The network helps show where Xiaoning Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoning Bi, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 325 | |
| 2 | 2009 | 195 | |
| 3 | 2016 | 181 | |
| 4 | 2005 | 153 | |
| 5 | 2003 | 148 | |
| 6 | 2013 | 121 | |
| 7 | 2003 | 113 | |
| 8 | 2015 | 105 | |
| 9 | 2010 | 104 | |
| 10 | 2012 | 100 | |
| 11 | 2015 | 97 | |
| 12 | 2001 | 96 | |
| 13 | 2002 | 93 | |
| 14 | 2009 | 92 | |
| 15 | 2012 | 90 | |
| 16 | 1996 | 77 | |
| 17 | 2013 | 75 | |
| 18 | 1997 | 73 | |
| 19 | 2014 | 73 | |
| 20 | 2014 | 72 |
About Xiaoning Bi
Xiaoning Bi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Physiology and Genetics, having authored 103 papers that have together received 4.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (49 papers), Calpain Protease Function and Regulation (42 papers), Alzheimer's disease research and treatments (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Genetic Syndromes and Imprinting (12 papers), Nerve injury and regeneration (11 papers), Connexins and lens biology (8 papers) and Cellular transport and secretion (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Developmental Neuroscience (356 citations), Neurology (579 citations), Cell Biology (1.2k citations) and Biological Psychiatry (164 citations). Xiaoning Bi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Michel Baudry, Gary Lynch, Yubin Wang, Christine M. Gall, Yan Liu, Víctor Briz, Guoqi Zhu, Jun Zhou, Georges Tocco and Jiandong Sun. Their work appears in journals such as Journal of Neuroscience, Neuroscience, Brain Research, Proceedings of the National Academy of Sciences and Experimental Neurology.
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.