Xinxiang Yan
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments 96
- Neurological disorders and treatments 36
- Neurological diseases and metabolism 33
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments 96
- Neurological disorders and treatments 36
- Neurological diseases and metabolism 33
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- Nuclear Receptors and Signaling 37
- Genetic Neurodegenerative Diseases 29
- Physiology top 5%
- Alzheimer's disease research and treatments 14
- Molecular Biology top 10%
- RNA regulation and disease 18
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- Genetics and Neurodevelopmental Disorders 15
- Journals
- Neurobiology of Aging (19 papers)Frontiers in Aging Neuroscience (14 papers)Frontiers in Neurology (9 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Xinxiang Yan
164 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 109
- Neurology 1.4k
- Neurology 499
- Cellular and Molecular Neuroscience 753
- Physiology 469
- Molecular Biology 964
Countries citing papers authored by Xinxiang Yan
This map shows the geographic impact of Xinxiang Yan'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 Xinxiang Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinxiang Yan more than expected).
Fields of papers citing papers by Xinxiang Yan
This network shows the impact of papers produced by Xinxiang Yan. 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 Xinxiang Yan. The network helps show where Xinxiang Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xinxiang Yan, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 10 | |
| 7 | 2022 | 31 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 4 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 149 | |
| 13 | 2020 | 21 | |
| 14 | 2020 | 14 | |
| 15 | 2018 | 5 | |
| 16 | 2018 | 0 | |
| 17 | 2016 | 8 | |
| 18 | 2016 | 4 | |
| 19 | 2011 | 16 | |
| 20 | [Mutation analysis of DJ1 gene in patients with autosomal recessive early-onset Parkinsonism]. | 2005 | 2 |
About Xinxiang Yan
Xinxiang Yan is a scholar working on Neurology, Neurology, Cellular and Molecular Neuroscience, Physiology and Genetics, having authored 173 papers that have together received 2.6k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (96 papers), Nuclear Receptors and Signaling (37 papers), Neurological disorders and treatments (36 papers), Neurological diseases and metabolism (33 papers), Genetic Neurodegenerative Diseases (29 papers), RNA regulation and disease (18 papers), Genetics and Neurodevelopmental Disorders (15 papers) and Alzheimer's disease research and treatments (14 papers). The work is most often cited by research in Neurology (1.4k citations), Neurology (499 citations), Cellular and Molecular Neuroscience (753 citations), Physiology (469 citations) and Molecular Biology (964 citations). Xinxiang Yan has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Beisha Tang, Jifeng Guo, Qian Xu, Qiying Sun, Lu Shen, Kun Xia, Bin Jiao, Hong Jiang, Qian Pan and Junling Wang. Their work appears in journals such as Neurobiology of Aging, Frontiers in Aging Neuroscience, Frontiers in Neurology, Scientific Reports and Parkinsonism & Related Disorders.
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.