Qingfa Chen
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology
- Phytochemicals and Antioxidant Activities
Papers in
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- Pluripotent Stem Cells Research 4
- Sphingolipid Metabolism and Signaling 2
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- Axon Guidance and Neuronal Signaling 6
- Neuroscience and Neural Engineering 2
- Co-authors
- Zhibo Gai (11 shared papers)Jayanta Kumar Patra (1 shared paper)Zhenguo Wang (1 shared paper)Xianjun Fu (1 shared paper)Dongdong Wang (1 shared paper)Tianqi Wang (1 shared paper)Ting Gui (6 shared papers)Yunlun Li (3 shared papers)
- Journals
- Frontiers in Pharmacology (2 papers)PLoS ONE (2 papers)Molecular Neurobiology (1 paper)Oncotarget (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- ChinaSwitzerlandJapan
In The Last Decade
Qingfa Chen
31 papers receiving 722 citations
Qingfa Chen's Hit Papers
Peers
Comparison fields: 5 of 102
- Developmental Neuroscience 38
- Biochemistry 54
- Biochemistry 42
- Biological Psychiatry 14
- Pharmacology 40
Countries citing papers authored by Qingfa Chen
This map shows the geographic impact of Qingfa 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 Qingfa Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingfa Chen more than expected).
Fields of papers citing papers by Qingfa Chen
This network shows the impact of papers produced by Qingfa 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 Qingfa Chen. The network helps show where Qingfa Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingfa 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Arachidonic Acid Metabolism and Kidney Inflammation Hit paper breakdown → | 2019 | 317 |
| 2 | 2021 | 103 | |
| 3 | 2015 | 55 | |
| 4 | 2019 | 35 | |
| 5 | 2019 | 25 | |
| 6 | 2012 | 22 | |
| 7 | 2020 | 21 | |
| 8 | 2020 | 19 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2015 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2015 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2023 | 6 | |
| 17 | 2017 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2020 | 6 |
About Qingfa Chen
Qingfa Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Surgery and Oncology, having authored 32 papers that have together received 730 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (6 papers), Axon Guidance and Neuronal Signaling (6 papers), Pluripotent Stem Cells Research (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Sphingolipid Metabolism and Signaling (2 papers), Neuroscience and Neural Engineering (2 papers), Dysphagia Assessment and Management (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Developmental Neuroscience (38 citations), Biochemistry (54 citations), Biochemistry (42 citations), Biological Psychiatry (14 citations) and Pharmacology (40 citations). Qingfa Chen has collaborated with scholars based in China, Switzerland and Japan. Frequent co-authors include Zhibo Gai, Jayanta Kumar Patra, Zhenguo Wang, Xianjun Fu, Dongdong Wang, Tianqi Wang, Ting Gui, Yunlun Li, Shijun Zhang and Juanli Chen. Their work appears in journals such as Frontiers in Pharmacology, PLoS ONE, Molecular Neurobiology, Oncotarget and Frontiers in Oncology.
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.