Xuewei Li
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 2%
- Circular RNAs in diseases
- Gut microbiota and health
- Extracellular vesicles in disease
Papers in
-
- Cancer-related molecular mechanisms research 56
- MicroRNA in disease regulation 53
- Genetics 46
- Genetic and phenotypic traits in livestock 37
- Genetic Mapping and Diversity in Plants and Animals 23
- Co-authors
- Li ZhuMingzhou LiShunhua ZhangLinyuan ShenJideng MaLei ChenLin BaiLili Niu
- Journals
- International Journal of Molecular Sciences (17 papers)Gene (11 papers)PLoS ONE (9 papers)Scientific Reports (5 papers)Animals (5 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Xuewei Li
171 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Cancer Research 1.9k
- Molecular Biology 2.9k
- Animal Science and Zoology 412
- Genetics 846
- Physiology 715
Countries citing papers authored by Xuewei Li
This map shows the geographic impact of Xuewei 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 Xuewei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuewei Li more than expected).
Fields of papers citing papers by Xuewei Li
This network shows the impact of papers produced by Xuewei 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 Xuewei Li. The network helps show where Xuewei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xuewei 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 | 2024 | 1 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 25 | |
| 5 | 2023 | 17 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 16 | |
| 8 | 2020 | 13 | |
| 9 | 2019 | 10 | |
| 10 | 2018 | 17 | |
| 11 | 2018 | 18 | |
| 12 | 2018 | 27 | |
| 13 | 2018 | 32 | |
| 14 | 2017 | 32 | |
| 15 | 2015 | 26 | |
| 16 | 2014 | 12 | |
| 17 | 2013 | 16 | |
| 18 | 2013 | 26 | |
| 19 | 2005 | 113 | |
| 20 | 2001 | 27 |
About Xuewei Li
Xuewei Li is a scholar working on Cancer Research, Genetics, Animal Science and Zoology, Molecular Biology and Physiology, having authored 176 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (56 papers), MicroRNA in disease regulation (53 papers), Genetic and phenotypic traits in livestock (37 papers), Circular RNAs in diseases (36 papers), Adipose Tissue and Metabolism (25 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers), RNA Research and Splicing (15 papers) and Meat and Animal Product Quality (12 papers). The work is most often cited by research in Cancer Research (1.9k citations), Molecular Biology (2.9k citations), Animal Science and Zoology (412 citations), Genetics (846 citations) and Physiology (715 citations). Xuewei Li has collaborated with scholars based in China, United States and India. Frequent co-authors include Li Zhu, Mingzhou Li, Shunhua Zhang, Linyuan Shen, Jideng Ma, Lei Chen, Lin Bai, Lili Niu, Jinyong Wang and Ye Zhao. Their work appears in journals such as International Journal of Molecular Sciences, Gene, PLoS ONE, Scientific Reports and Animals.
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.