Xuni Li
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
Papers in
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- Clostridium difficile and Clostridium perfringens research 2
- Tuberculosis Research and Epidemiology 1
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- Protein Structure and Dynamics 2
- Receptor Mechanisms and Signaling 2
- Co-authors
- Yves Y. Sere (1 shared paper)Ellen Sapp (1 shared paper)Anastasia Khvorova (1 shared paper)Marie-Cécile Didiot (1 shared paper)Reka A. Haraszti (1 shared paper)Yang Wang (1 shared paper)Andrew H. Coles (1 shared paper)Matteo Stoppato (1 shared paper)
- Journals
- Journal of Biological Chemistry (1 paper)Veterinary Microbiology (1 paper)Viruses (1 paper)mBio (1 paper)Molecular Therapy (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xuni Li
9 papers receiving 503 citations
Xuni Li's Hit Papers
Peers
Comparison fields: 5 of 67
- Cancer Research 203
- Molecular Biology 428
- Genetics 46
- Microbiology 25
- Rehabilitation 17
Countries citing papers authored by Xuni Li
This map shows the geographic impact of Xuni 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 Xuni Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuni Li more than expected).
Fields of papers citing papers by Xuni Li
This network shows the impact of papers produced by Xuni 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 Xuni Li. The network helps show where Xuni Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xuni 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
| # | Work | ||
|---|---|---|---|
| 1 | Exosomes Produced from 3D Cultures of MSCs by Tangential Flow Filtration Show Higher Yield and Improved Activity Hit paper breakdown → | 2018 | 444 |
| 2 | 2019 | 25 | |
| 3 | 2014 | 16 | |
| 4 | 2019 | 13 | |
| 5 | 2021 | 4 | |
| 6 | Fluorescent reagent in detection of porcine reproductive and respiratory syndrome virus by loop-mediated isothermal amplification (LAMP). | 2010 | 3 |
| 7 | Loop-mediated isothermal amplification for sensitive and rapid detection of Mycoplasma hyopneumoniae. | 2010 | 2 |
| 8 | 2019 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 0 |
About Xuni Li
Xuni Li is a scholar working on Infectious Diseases, Molecular Biology, Microbiology, Animal Science and Zoology and Public Health, Environmental and Occupational Health, having authored 10 papers that have together received 509 indexed citations. Recurring topics across this work include Microbial infections and disease research (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Protein Structure and Dynamics (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Receptor Mechanisms and Signaling (2 papers), Animal Virus Infections Studies (2 papers), Tuberculosis Research and Epidemiology (1 paper) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Cancer Research (203 citations), Molecular Biology (428 citations), Genetics (46 citations), Microbiology (25 citations) and Rehabilitation (17 citations). Xuni Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yves Y. Sere, Ellen Sapp, Anastasia Khvorova, Marie-Cécile Didiot, Reka A. Haraszti, Yang Wang, Andrew H. Coles, Matteo Stoppato, Michelle L. Dubuke and Marian DiFiglia. Their work appears in journals such as Journal of Biological Chemistry, Veterinary Microbiology, Viruses, mBio and Molecular Therapy.
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.