Xingyan Li
Impact in
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- Cell death mechanisms and regulation
- CRISPR and Genetic Engineering
- Renal and related cancers
- Ubiquitin and proteasome pathways
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- interferon and immune responses
Papers in
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- Cell death mechanisms and regulation 5
- Epigenetics and DNA Methylation 2
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- interferon and immune responses 3
- Toxin Mechanisms and Immunotoxins 2
- Co-authors
- Junying Yuan (5 shared papers)Bing Shan (4 shared papers)Yau-Chi Chan (2 shared papers)Duanqing Pei (2 shared papers)Ting Zhou (2 shared papers)Miguel A. Esteban (2 shared papers)Yinghua Huang (2 shared papers)Kezhou Zhu (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Bioresource Technology (2 papers)Industrial Crops and Products (1 paper)ACS Omega (1 paper)Redox Biology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xingyan Li
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 132
- Molecular Biology 732
- Immunology 158
- Cancer Research 68
- Developmental Neuroscience 15
- Epidemiology 112
Countries citing papers authored by Xingyan Li
This map shows the geographic impact of Xingyan 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 Xingyan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingyan Li more than expected).
Fields of papers citing papers by Xingyan Li
This network shows the impact of papers produced by Xingyan 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 Xingyan Li. The network helps show where Xingyan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingyan 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 305 | |
| 2 | 2018 | 113 | |
| 3 | 2016 | 109 | |
| 4 | 2017 | 95 | |
| 5 | 2011 | 77 | |
| 6 | 2020 | 70 | |
| 7 | 2018 | 50 | |
| 8 | 2020 | 30 | |
| 9 | 2023 | 24 | |
| 10 | 2020 | 20 | |
| 11 | 2021 | 17 | |
| 12 | 2023 | 16 | |
| 13 | 2024 | 14 | |
| 14 | 2025 | 13 | |
| 15 | 2021 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2024 | 9 |
About Xingyan Li
Xingyan Li is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Oncology and Materials Chemistry, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Fluid Dynamics and Mixing (5 papers), interferon and immune responses (3 papers), Fermentation and Sensory Analysis (2 papers), Anomaly Detection Techniques and Applications (2 papers), Epigenetics and DNA Methylation (2 papers), Gynecological conditions and treatments (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Molecular Biology (732 citations), Immunology (158 citations), Cancer Research (68 citations), Developmental Neuroscience (15 citations) and Epidemiology (112 citations). Xingyan Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Junying Yuan, Bing Shan, Yau-Chi Chan, Duanqing Pei, Ting Zhou, Miguel A. Esteban, Yinghua Huang, Kezhou Zhu, Huibing Wang and Huyan Meng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioresource Technology, Industrial Crops and Products, ACS Omega and Redox Biology.
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.