Xinchun Jin
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 17
- Barrier Structure and Function Studies 12
- Neurological Disease Mechanisms and Treatments 9
- Intracerebral and Subarachnoid Hemorrhage Research 6
- Biological Psychiatry top 5%
- Tryptophan and brain disorders 5
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 17
- Barrier Structure and Function Studies 12
- Neurological Disease Mechanisms and Treatments 9
- Intracerebral and Subarachnoid Hemorrhage Research 6
- Developmental Neuroscience top 10%
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- Neuroscience and Neuropharmacology Research 5
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- Acute Ischemic Stroke Management 11
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- Receptor Mechanisms and Signaling 5
- Co-authors
- Wenlan LiuJie LiuKe J. LiuYanyun SunWen-Cao LiuXiaona WangHui‐Kuo G. ShuYi Yang
- Cited by
- NeurologyBiological Psychiatry
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xinchun Jin
47 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Neurology 680
- Biological Psychiatry 110
- Neurology 204
- Developmental Neuroscience 47
- Cellular and Molecular Neuroscience 190
Countries citing papers authored by Xinchun Jin
This map shows the geographic impact of Xinchun Jin'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 Xinchun Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinchun Jin more than expected).
Fields of papers citing papers by Xinchun Jin
This network shows the impact of papers produced by Xinchun Jin. 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 Xinchun Jin. The network helps show where Xinchun Jin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xinchun Jin, 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 12 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 27 | |
| 9 | 2023 | 33 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 18 | |
| 12 | 2019 | 22 | |
| 13 | 2018 | 12 | |
| 14 | 2017 | 42 | |
| 15 | 2017 | 13 | |
| 16 | 2016 | 21 | |
| 17 | 2016 | 6 | |
| 18 | 2016 | 30 | |
| 19 | 2015 | 32 | |
| 20 | 2014 | 49 |
About Xinchun Jin
Xinchun Jin is a scholar working on Neurology, Biological Psychiatry and Neurology, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Barrier Structure and Function Studies (12 papers), Acute Ischemic Stroke Management (11 papers), Neurological Disease Mechanisms and Treatments (9 papers), Intracerebral and Subarachnoid Hemorrhage Research (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Tryptophan and brain disorders (5 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Neurology (680 citations), Biological Psychiatry (110 citations) and Neurology (204 citations). Xinchun Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wenlan Liu, Jie Liu, Ke J. Liu, Yanyun Sun, Wen-Cao Liu, Xiaona Wang, Hui‐Kuo G. Shu, Yi Yang, Mengwei Wang and Chun‐Feng Liu.
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.