Xianglan Jin
Impact in
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- Traditional Chinese Medicine Analysis
- Acupuncture Treatment Research Studies
Papers in
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- Traditional Chinese Medicine Studies 5
- Traditional Chinese Medicine Analysis 3
- Co-authors
- Baoxin Chen (10 shared papers)Chen Fu (8 shared papers)Hong Zheng (8 shared papers)Ningqun Wang (2 shared papers)Hao Zhang (1 shared paper)Rongjuan Guo (7 shared papers)Yunling Zhang (9 shared papers)Yunling Zhang (5 shared papers)
- Journals
- Frontiers in Neurology (2 papers)The FASEB Journal (1 paper)Neural Plasticity (1 paper)Disease Markers (1 paper)Geriatrics and gerontology international (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Xianglan Jin
25 papers receiving 279 citations
Peers
Comparison fields: 5 of 72
- Complementary and alternative medicine 37
- Neurology 27
- Psychiatry and Mental health 32
- Biological Psychiatry 5
- Geriatrics and Gerontology 6
Countries citing papers authored by Xianglan Jin
This map shows the geographic impact of Xianglan 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 Xianglan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianglan Jin more than expected).
Fields of papers citing papers by Xianglan Jin
This network shows the impact of papers produced by Xianglan 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 Xianglan Jin. The network helps show where Xianglan Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xianglan 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 55 | |
| 2 | 2017 | 36 | |
| 3 | 2019 | 36 | |
| 4 | 2020 | 21 | |
| 5 | 2017 | 21 | |
| 6 | 2016 | 19 | |
| 7 | 2021 | 17 | |
| 8 | 2020 | 17 | |
| 9 | 2018 | 12 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2013 | 5 | |
| 16 | 2021 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2011 | 2 |
About Xianglan Jin
Xianglan Jin is a scholar working on Molecular Biology, Complementary and alternative medicine, Psychiatry and Mental health, Epidemiology and Oncology, having authored 26 papers that have together received 288 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (6 papers), Traditional Chinese Medicine Studies (5 papers), Traditional Chinese Medicine Analysis (3 papers), Acute Ischemic Stroke Management (2 papers), Peptidase Inhibition and Analysis (2 papers), Plant-based Medicinal Research (2 papers), Alzheimer's disease research and treatments (1 paper) and Coal Properties and Utilization (1 paper). The work is most often cited by research in Complementary and alternative medicine (37 citations), Neurology (27 citations), Psychiatry and Mental health (32 citations), Biological Psychiatry (5 citations) and Geriatrics and Gerontology (6 citations). Xianglan Jin has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Baoxin Chen, Chen Fu, Hong Zheng, Ningqun Wang, Hao Zhang, Rongjuan Guo, Yunling Zhang, Yunling Zhang, Xian Wu Cheng and Ying Wan. Their work appears in journals such as Frontiers in Neurology, The FASEB Journal, Neural Plasticity, Disease Markers and Geriatrics and gerontology international.
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.