Xiaoxin Li
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- TGF-β signaling in diseases 4
- Congenital heart defects research 3
- Advanced biosensing and bioanalysis techniques 3
- Genetics 9
- Connective tissue disorders research 9
- Co-authors
- Zhihong Wu (14 shared papers)Bo Long (5 shared papers)Xinjie Xu (3 shared papers)Yuanqiang Zhang (2 shared papers)Hu Xiong (2 shared papers)Na Li (1 shared paper)Dong Zhang (1 shared paper)Dan Guo (1 shared paper)
- Journals
- Genes (3 papers)Gene (2 papers)International Journal of Biological Macromolecules (2 papers)BioMed Research International (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoxin Li
32 papers receiving 456 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 185
- Molecular Biology 225
- Genetics 33
- Biomedical Engineering 81
- Genetics 50
Countries citing papers authored by Xiaoxin Li
This map shows the geographic impact of Xiaoxin 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 Xiaoxin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxin Li more than expected).
Fields of papers citing papers by Xiaoxin Li
This network shows the impact of papers produced by Xiaoxin 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 Xiaoxin Li. The network helps show where Xiaoxin Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoxin 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 80 | |
| 2 | 2017 | 80 | |
| 3 | 2022 | 37 | |
| 4 | 2022 | 29 | |
| 5 | 2019 | 27 | |
| 6 | 2018 | 23 | |
| 7 | 2020 | 21 | |
| 8 | 2021 | 19 | |
| 9 | 2018 | 14 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2021 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2014 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2021 | 6 |
About Xiaoxin Li
Xiaoxin Li is a scholar working on Molecular Biology, Genetics, Surgery, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 461 indexed citations. Recurring topics across this work include Connective tissue disorders research (9 papers), Nanoplatforms for cancer theranostics (5 papers), Luminescence and Fluorescent Materials (4 papers), TGF-β signaling in diseases (4 papers), Genetic factors in colorectal cancer (3 papers), Congenital heart defects research (3 papers), Scoliosis diagnosis and treatment (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Cancer Research (185 citations), Molecular Biology (225 citations), Genetics (33 citations), Biomedical Engineering (81 citations) and Genetics (50 citations). Xiaoxin Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhihong Wu, Bo Long, Xinjie Xu, Yuanqiang Zhang, Hu Xiong, Na Li, Dong Zhang, Na Li, Dan Guo and Dai‐Wen Pang. Their work appears in journals such as Genes, Gene, International Journal of Biological Macromolecules, BioMed Research International and Biochemical and Biophysical Research Communications.
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.