M.J. Chen
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Cooperative Communication and Network Coding 2
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- Protein Interaction Studies and Fluorescence Analysis 1
- Co-authors
- Amelia Russo‐Neustadt (2 shared papers)Thuy‐Vi V. Nguyen (1 shared paper)Christian J. Pike (1 shared paper)Aylin Yener (2 shared papers)Autumn S. Ivy (1 shared paper)F. Rodriguez (1 shared paper)E. J. Barron (1 shared paper)David F. Pollard (1 shared paper)
- Journals
- Journal of Geophysical Research Atmospheres (1 paper)Cellular Signalling (1 paper)Journal of Biological Chemistry (1 paper)Journal of Thrombosis and Haemostasis (1 paper)Pharmacology Biochemistry and Behavior (1 paper)
- Partner nations
- United States
In The Last Decade
M.J. Chen
7 papers receiving 398 citations
Peers
Comparison fields: 5 of 77
- Developmental Neuroscience 82
- Behavioral Neuroscience 52
- Biological Psychiatry 22
- Cellular and Molecular Neuroscience 158
- Neurology 41
Countries citing papers authored by M.J. Chen
This map shows the geographic impact of M.J. 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 M.J. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.J. Chen more than expected).
Fields of papers citing papers by M.J. Chen
This network shows the impact of papers produced by M.J. 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 M.J. Chen. The network helps show where M.J. Chen may publish in the future.
Co-authors
The 16 scholars most cited alongside M.J. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 136 | |
| 2 | 2006 | 136 | |
| 3 | 2008 | 48 | |
| 4 | 2003 | 31 | |
| 5 | 1993 | 25 | |
| 6 | 2016 | 20 | |
| 7 | 2009 | 10 |
About M.J. Chen
M.J. Chen is a scholar working on Computer Networks and Communications, Molecular Biology, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Organic Chemistry, having authored 7 papers that have together received 406 indexed citations. Recurring topics across this work include Nerve injury and regeneration (2 papers), Cooperative Communication and Network Coding (2 papers), Advanced Wireless Communication Technologies (2 papers), Full-Duplex Wireless Communications (2 papers), Stress Responses and Cortisol (1 paper), Blood properties and coagulation (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Protein Interaction Studies and Fluorescence Analysis (1 paper). The work is most often cited by research in Developmental Neuroscience (82 citations), Behavioral Neuroscience (52 citations), Biological Psychiatry (22 citations), Cellular and Molecular Neuroscience (158 citations) and Neurology (41 citations). M.J. Chen has collaborated with scholars based in United States. Frequent co-authors include Amelia Russo‐Neustadt, Thuy‐Vi V. Nguyen, Christian J. Pike, Aylin Yener, Autumn S. Ivy, F. Rodriguez, E. J. Barron, David F. Pollard, Yisong Yang and Kevin H. Mayo. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Cellular Signalling, Journal of Biological Chemistry, Journal of Thrombosis and Haemostasis and Pharmacology Biochemistry and Behavior.
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.