Xinxing Lai
Impact in
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- Traditional Chinese Medicine Studies
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- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
- Epidemiology 11
- Acute Ischemic Stroke Management 8
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- Metabolomics and Mass Spectrometry Studies 4
- Co-authors
- Shao Li (6 shared papers)Peng Zhang (2 shared papers)Mingran Yang (1 shared paper)Yiding Zhang (1 shared paper)Shiyu Du (1 shared paper)Aidi Tan (1 shared paper)Shuai Xiao (1 shared paper)Wuai Zhou (2 shared papers)
- Journals
- Frontiers in Pharmacology (8 papers)Frontiers in Neurology (2 papers)Phytomedicine (2 papers)Oxidative Medicine and Cellular Longevity (1 paper)BMJ Open (1 paper)
- Partner nations
- China
In The Last Decade
Xinxing Lai
23 papers receiving 628 citations
Xinxing Lai's Hit Papers
Peers
Comparison fields: 5 of 86
- Complementary and alternative medicine 122
- Cancer Research 134
- Pharmacology 63
- Immunology 107
- Neurology 40
Countries citing papers authored by Xinxing Lai
This map shows the geographic impact of Xinxing Lai'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 Xinxing Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinxing Lai more than expected).
Fields of papers citing papers by Xinxing Lai
This network shows the impact of papers produced by Xinxing Lai. 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 Xinxing Lai. The network helps show where Xinxing Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinxing Lai, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dissecting the Single-Cell Transcriptome Network Underlying Gastric Premalignant Lesions and Early Gastric Cancer Hit paper breakdown → | 2019 | 299 |
| 2 | 2021 | 71 | |
| 3 | 2021 | 62 | |
| 4 | 2022 | 32 | |
| 5 | 2020 | 30 | |
| 6 | 2021 | 29 | |
| 7 | 2022 | 26 | |
| 8 | 2022 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 9 | |
| 11 | 2017 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2017 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2017 | 2 |
About Xinxing Lai
Xinxing Lai is a scholar working on Epidemiology, Molecular Biology, Complementary and alternative medicine, Neurology and Neurology, having authored 27 papers that have together received 643 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (8 papers), Neurological Disease Mechanisms and Treatments (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Traditional Chinese Medicine Studies (4 papers), Stroke Rehabilitation and Recovery (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Traditional Chinese Medicine Analysis (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). The work is most often cited by research in Complementary and alternative medicine (122 citations), Cancer Research (134 citations), Pharmacology (63 citations), Immunology (107 citations) and Neurology (40 citations). Xinxing Lai has collaborated with scholars based in China. Frequent co-authors include Shao Li, Peng Zhang, Mingran Yang, Yiding Zhang, Shiyu Du, Aidi Tan, Shuai Xiao, Wuai Zhou, Jianyang Zeng and Kuo Yang. Their work appears in journals such as Frontiers in Pharmacology, Frontiers in Neurology, Phytomedicine, Oxidative Medicine and Cellular Longevity and BMJ Open.
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.