Bin Chen
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
- Axon Guidance and Neuronal Signaling
Papers in
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- Extracellular vesicles in disease 8
- RNA Research and Splicing 7
- Epigenetics and DNA Methylation 6
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- Hereditary Neurological Disorders 9
- Co-authors
- Susan K. McConnell (3 shared papers)Laura Schaevitz (1 shared paper)William L. McKenna (5 shared papers)John L.R. Rubenstein (5 shared papers)Dino P. Leone (1 shared paper)Elizabeth Alcamo (1 shared paper)Karpagam Srinivasan (1 shared paper)Chao Guo (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)The Journal of Comparative Neurology (3 papers)Journal of Neuroscience (3 papers)Cerebral Cortex (3 papers)Frontiers in Neurology (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bin Chen
114 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 126
- Developmental Neuroscience 660
- Cellular and Molecular Neuroscience 598
- Cancer Research 381
- Molecular Biology 1.6k
- Pharmacology 339
Countries citing papers authored by Bin Chen
This map shows the geographic impact of Bin Chen'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 Bin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Chen more than expected).
Fields of papers citing papers by Bin Chen
This network shows the impact of papers produced by Bin Chen. 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 Bin Chen. The network helps show where Bin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Chen, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 295 | |
| 2 | 2005 | 291 | |
| 3 | 2011 | 203 | |
| 4 | 2013 | 143 | |
| 5 | 2011 | 91 | |
| 6 | 2017 | 83 | |
| 7 | 2013 | 78 | |
| 8 | 2018 | 77 | |
| 9 | 2020 | 73 | |
| 10 | 2019 | 66 | |
| 11 | 2022 | 64 | |
| 12 | 2016 | 60 | |
| 13 | 2019 | 54 | |
| 14 | 2017 | 53 | |
| 15 | 2005 | 53 | |
| 16 | 2018 | 48 | |
| 17 | 2019 | 48 | |
| 18 | 2019 | 48 | |
| 19 | 2022 | 47 | |
| 20 | 2003 | 46 |
About Bin Chen
Bin Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Oncology and Developmental Neuroscience, having authored 120 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (14 papers), Microbial Natural Products and Biosynthesis (12 papers), Hereditary Neurological Disorders (9 papers), Extracellular vesicles in disease (8 papers), RNA Research and Splicing (7 papers), MicroRNA in disease regulation (7 papers), Epigenetics and DNA Methylation (6 papers) and Marine Sponges and Natural Products (6 papers). The work is most often cited by research in Developmental Neuroscience (660 citations), Cellular and Molecular Neuroscience (598 citations), Cancer Research (381 citations), Molecular Biology (1.6k citations) and Pharmacology (339 citations). Bin Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Susan K. McConnell, Laura Schaevitz, William L. McKenna, John L.R. Rubenstein, Dino P. Leone, Elizabeth Alcamo, Karpagam Srinivasan, Chao Guo, Matthew J. Eckler and Benjamin Abrams. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, The Journal of Comparative Neurology, Journal of Neuroscience, Cerebral Cortex and Frontiers in 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.