Zheng‐Hong Qin
- Neurology top 0.2%
- Neuroinflammation and Neurodegeneration Mechanisms 33
- Parkinson's Disease Mechanisms and Treatments 19
- Cellular and Molecular Neuroscience top 0.5%
- Genetic Neurodegenerative Diseases 26
- Neuroscience and Neuropharmacology Research 26
- Physiology top 0.5%
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 33
- Parkinson's Disease Mechanisms and Treatments 19
- Geriatrics and Gerontology top 0.5%
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- Autophagy in Disease and Therapy 73
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- Mitochondrial Function and Pathology 38
- Cell death mechanisms and regulation 23
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- NF-κB Signaling Pathways 18
- Co-authors
- Rui ShengZhong‐Qin LiangHaidong XuThomas N. ChaseYan WangMasami NakaiZhen‐Lun GuMarian DiFiglia
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (3 papers)Journal of Neuroscience (4 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Zheng‐Hong Qin
250 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Neurology 1.9k
- Cellular and Molecular Neuroscience 2.8k
- Physiology 530
- Neurology 1.7k
- Geriatrics and Gerontology 426
Countries citing papers authored by Zheng‐Hong Qin
This map shows the geographic impact of Zheng‐Hong Qin'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 Zheng‐Hong Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheng‐Hong Qin more than expected).
Fields of papers citing papers by Zheng‐Hong Qin
This network shows the impact of papers produced by Zheng‐Hong Qin. 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 Zheng‐Hong Qin. The network helps show where Zheng‐Hong Qin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zheng‐Hong Qin, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 23 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 24 | |
| 9 | 2019 | 57 | |
| 10 | 2019 | 106 | |
| 11 | 2017 | 34 | |
| 12 | 2017 | 50 | |
| 13 | 2015 | 3 | |
| 14 | 2014 | 69 | |
| 15 | 2014 | 33 | |
| 16 | 2013 | 16 | |
| 17 | 2008 | 21 | |
| 18 | 2007 | 71 | |
| 19 | 2007 | 14 | |
| 20 | 1999 | 214 |
About Zheng‐Hong Qin
Zheng‐Hong Qin is a scholar working on Neurology, Geriatrics and Gerontology and Physiology, having authored 252 papers that have together received 12.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (73 papers), Mitochondrial Function and Pathology (38 papers), Neuroinflammation and Neurodegeneration Mechanisms (33 papers), Genetic Neurodegenerative Diseases (26 papers), Neuroscience and Neuropharmacology Research (26 papers), Cell death mechanisms and regulation (23 papers), Parkinson's Disease Mechanisms and Treatments (19 papers) and NF-κB Signaling Pathways (18 papers). The work is most often cited by research in Neurology (1.9k citations), Cellular and Molecular Neuroscience (2.8k citations) and Physiology (530 citations). Zheng‐Hong Qin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Rui Sheng, Zhong‐Qin Liang, Haidong Xu, Thomas N. Chase, Yan Wang, Masami Nakai, Zhen‐Lun Gu, Marian DiFiglia, Yumei Wang and Jin‐Hua Gu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.