Jonathan C. Bean
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Biological Psychiatry top 10%
Papers in
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- Single-cell and spatial transcriptomics 2
- Receptor Mechanisms and Signaling 2
- Molecular Biology Techniques and Applications 2
- RNA Research and Splicing 2
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- Neuroscience and Neuropharmacology Research 5
- Axon Guidance and Neuronal Signaling 3
- Co-authors
- Lin Mei (8 shared papers)Dong‐Min Yin (7 shared papers)Wen‐Cheng Xiong (7 shared papers)Anupama Sathyamurthy (5 shared papers)Thiri W. Lin (4 shared papers)Chengyong Shen (4 shared papers)Yongjun Chen (4 shared papers)Yisheng Lu (2 shared papers)
- Journals
- Neuron (3 papers)Journal of Neuroscience (3 papers)Journal of Visualized Experiments (2 papers)BMC Neuroscience (1 paper)Development (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jonathan C. Bean
16 papers receiving 888 citations
Peers
Comparison fields: 5 of 73
- Developmental Neuroscience 114
- Biological Psychiatry 52
- Behavioral Neuroscience 59
- Cellular and Molecular Neuroscience 281
- Neurology 149
Countries citing papers authored by Jonathan C. Bean
This map shows the geographic impact of Jonathan C. Bean'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 Jonathan C. Bean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan C. Bean more than expected).
Fields of papers citing papers by Jonathan C. Bean
This network shows the impact of papers produced by Jonathan C. Bean. 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 Jonathan C. Bean. The network helps show where Jonathan C. Bean may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan C. Bean, 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 | 2010 | 192 | |
| 2 | 2013 | 164 | |
| 3 | 2013 | 101 | |
| 4 | 2014 | 86 | |
| 5 | 2014 | 83 | |
| 6 | 2009 | 82 | |
| 7 | 2019 | 63 | |
| 8 | 2013 | 56 | |
| 9 | 2009 | 30 | |
| 10 | 2015 | 17 | |
| 11 | 2021 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2013 | 2 | |
| 16 | 2022 | 1 |
About Jonathan C. Bean
Jonathan C. Bean is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Cognitive Neuroscience and Neurology, having authored 16 papers that have together received 899 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Axon Guidance and Neuronal Signaling (3 papers), Single-cell and spatial transcriptomics (2 papers), Receptor Mechanisms and Signaling (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Molecular Biology Techniques and Applications (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Developmental Neuroscience (114 citations), Biological Psychiatry (52 citations), Behavioral Neuroscience (59 citations), Cellular and Molecular Neuroscience (281 citations) and Neurology (149 citations). Jonathan C. Bean has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Lin Mei, Dong‐Min Yin, Wen‐Cheng Xiong, Anupama Sathyamurthy, Thiri W. Lin, Chengyong Shen, Yongjun Chen, Yisheng Lu, Xiong Cao and Dwight Figueiredo. Their work appears in journals such as Neuron, Journal of Neuroscience, Journal of Visualized Experiments, BMC Neuroscience and 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.