Xinxiu Li
Impact in
- Health Informatics top 2%
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
Papers in
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- Cancer-related molecular mechanisms research 3
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- Single-cell and spatial transcriptomics 4
- Co-authors
- Mikael Benson (12 shared papers)Huaxi Xu (4 shared papers)Li Zhong (4 shared papers)Guojun Bu (4 shared papers)Lizhi Xu (3 shared papers)Wei Zhou (3 shared papers)Xiao‐Fen Chen (4 shared papers)Sandra Lilja (7 shared papers)
- Journals
- Genome Medicine (4 papers)Malaria Journal (3 papers)Scientific Reports (3 papers)Environmental Pollution (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Xinxiu Li
47 papers receiving 1.6k citations
Xinxiu Li's Hit Papers
Peers
Comparison fields: 5 of 158
- Health Informatics 55
- Neurology 287
- Modeling and Simulation 103
- Numerical Analysis 88
- Biological Psychiatry 34
Countries citing papers authored by Xinxiu Li
This map shows the geographic impact of Xinxiu Li'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 Xinxiu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinxiu Li more than expected).
Fields of papers citing papers by Xinxiu Li
This network shows the impact of papers produced by Xinxiu Li. 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 Xinxiu Li. The network helps show where Xinxiu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinxiu Li, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Digital twins to personalize medicine Hit paper breakdown → | 2019 | 333 |
| 2 | 2017 | 273 | |
| 3 | 2012 | 100 | |
| 4 | 2016 | 73 | |
| 5 | 2017 | 67 | |
| 6 | 2015 | 64 | |
| 7 | 2015 | 61 | |
| 8 | 2019 | 54 | |
| 9 | 2021 | 50 | |
| 10 | Digital twins as global learning health and disease models for preventive and personalized medicine Hit paper breakdown → | 2025 | 44 |
| 11 | 2013 | 40 | |
| 12 | 2022 | 38 | |
| 13 | 2016 | 35 | |
| 14 | 2016 | 33 | |
| 15 | 2018 | 33 | |
| 16 | 2011 | 31 | |
| 17 | 2021 | 31 | |
| 18 | 2014 | 26 | |
| 19 | 2019 | 21 | |
| 20 | MiR-338* suppresses fibrotic pathogenesis in pulmonary fibrosis through targeting LPA1. | 2016 | 18 |
About Xinxiu Li
Xinxiu Li is a scholar working on Cancer Research, Molecular Biology, Modeling and Simulation, Numerical Analysis and Public Health, Environmental and Occupational Health, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Malaria Research and Control (4 papers), Differential Equations and Numerical Methods (3 papers), Marine and coastal ecosystems (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Aquatic Ecosystems and Phytoplankton Dynamics (3 papers), Fractional Differential Equations Solutions (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Health Informatics (55 citations), Neurology (287 citations), Modeling and Simulation (103 citations), Numerical Analysis (88 citations) and Biological Psychiatry (34 citations). Xinxiu Li has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Mikael Benson, Huaxi Xu, Li Zhong, Guojun Bu, Lizhi Xu, Wei Zhou, Xiao‐Fen Chen, Sandra Lilja, Huan Zhang and Samuel Schäfer. Their work appears in journals such as Genome Medicine, Malaria Journal, Scientific Reports, Environmental Pollution and PLoS ONE.
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.