Qin Shen
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Neurological Disease Mechanisms and Treatments 1
- Biological Psychiatry top 10%
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- Immune Response and Inflammation 3
- interferon and immune responses 1
- Physiology top 10%
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- Berberine and alkaloids research 1
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- Advancements in Transdermal Drug Delivery 1
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- Extracellular vesicles in disease 1
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- Mesenchymal stem cell research 1
- Co-authors
- Narayan R. BhatSiddharama PawateFan FanAruna N. BhatDouglas L. FeinsteinRan ZhangHui LiangShuo Zhai
- Journals
- Journal of Biological Chemistry (1 paper)Remote Sensing of Environment (1 paper)Brain Research (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Qin Shen
17 papers receiving 809 citations
Peers
Comparison fields: 5 of 91
- Neurology 277
- Biological Psychiatry 53
- Immunology 211
- Physiology 34
- Developmental Neuroscience 25
Countries citing papers authored by Qin Shen
This map shows the geographic impact of Qin Shen'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 Qin Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Shen more than expected).
Fields of papers citing papers by Qin Shen
This network shows the impact of papers produced by Qin Shen. 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 Qin Shen. The network helps show where Qin Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qin Shen, 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 | 2024 | 8 | |
| 2 | 2021 | 3 | |
| 3 | 2020 | 29 | |
| 4 | 2017 | 66 | |
| 5 | 2016 | 27 | |
| 6 | 2016 | 6 | |
| 7 | Upregulated expression of CD30 protein in sclerosing angiomatoid nodular transformation (SANT): studies of additional 4 cases and analyses of 6 cases previously published cases. | 2015 | 7 |
| 8 | [Primary testicular yolk sac tumor: clinicopathological study of 8 cases]. | 2014 | 1 |
| 9 | 2013 | 2 | |
| 10 | [Neuroprotective mechanism of hydrogen sulfide after cerebral ischemia-reperfusion in rats]. | 2013 | 3 |
| 11 | 2013 | 1 | |
| 12 | 2012 | 34 | |
| 13 | [Cytochrome C oxidase expression and endothelial cell apoptosis in lungs of patients with chronic obstructive pulmonary disease]. | 2010 | 4 |
| 14 | 2006 | 49 | |
| 15 | 2004 | 387 | |
| 16 | 2003 | 24 | |
| 17 | 2002 | 163 |
About Qin Shen
Qin Shen is a scholar working on Neurology, Developmental Neuroscience and Molecular Medicine, having authored 17 papers that have together received 814 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Immune Response and Inflammation (3 papers), Berberine and alkaloids research (1 paper), interferon and immune responses (1 paper), Advancements in Transdermal Drug Delivery (1 paper), Extracellular vesicles in disease (1 paper), Neurological Disease Mechanisms and Treatments (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Neurology (277 citations), Biological Psychiatry (53 citations) and Immunology (211 citations). Qin Shen has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Narayan R. Bhat, Siddharama Pawate, Fan Fan, Aruna N. Bhat, Douglas L. Feinstein, Ran Zhang, Hui Liang, Shuo Zhai, Zhen Zeng and Jia Xu. Their work appears in journals such as Journal of Biological Chemistry, Remote Sensing of Environment and Brain Research.
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.