Quan Chen
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
- Sensory Systems top 10%
Papers in
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- Receptor Mechanisms and Signaling 2
- Genomics, phytochemicals, and oxidative stress 2
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- Neuroscience and Neuropharmacology Research 2
- Nerve injury and regeneration 2
- Co-authors
- Haiyan Liu (2 shared papers)John W. Olney (2 shared papers)Maoqing Dong (2 shared papers)Laurence J. Miller (2 shared papers)Delia I. Pinon (2 shared papers)David B. Parkinson (1 shared paper)Xin‐Peng Dun (1 shared paper)Bing Chen (1 shared paper)
- Journals
- Cell Death and Disease (2 papers)Journal of Biological Chemistry (2 papers)Bioactive Materials (1 paper)British Journal of Dermatology (1 paper)Disease Markers (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Quan Chen
37 papers receiving 699 citations
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 199
- Sensory Systems 32
- Molecular Biology 400
- Rehabilitation 31
- Developmental Neuroscience 19
Countries citing papers authored by Quan Chen
This map shows the geographic impact of Quan 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 Quan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quan Chen more than expected).
Fields of papers citing papers by Quan Chen
This network shows the impact of papers produced by Quan 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 Quan Chen. The network helps show where Quan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Quan 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 75 | |
| 2 | 1999 | 59 | |
| 3 | 2016 | 49 | |
| 4 | 2012 | 48 | |
| 5 | 2019 | 48 | |
| 6 | 2011 | 47 | |
| 7 | 2014 | 37 | |
| 8 | 2019 | 36 | |
| 9 | 1998 | 36 | |
| 10 | 2010 | 33 | |
| 11 | 1997 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2022 | 22 | |
| 14 | 2021 | 21 | |
| 15 | 2024 | 16 | |
| 16 | 2014 | 14 | |
| 17 | 2022 | 10 | |
| 18 | 2018 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2022 | 9 |
About Quan Chen
Quan Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Plant Science and Surgery, having authored 40 papers that have together received 701 indexed citations. Recurring topics across this work include Wound Healing and Treatments (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Cellular transport and secretion (2 papers), Receptor Mechanisms and Signaling (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Nerve injury and regeneration (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (199 citations), Sensory Systems (32 citations), Molecular Biology (400 citations), Rehabilitation (31 citations) and Developmental Neuroscience (19 citations). Quan Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haiyan Liu, John W. Olney, Maoqing Dong, Laurence J. Miller, Delia I. Pinon, David B. Parkinson, Xin‐Peng Dun, Bing Chen, Kristine Hardy and Krista L. Moulder. Their work appears in journals such as Cell Death and Disease, Journal of Biological Chemistry, Bioactive Materials, British Journal of Dermatology and Disease Markers.
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.