Shaobin Li
Impact in
- Urology top 1%
- Hair Growth and Disorders
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 17
-
- Cancer-related molecular mechanisms research 49
- MicroRNA in disease regulation 21
- Co-authors
- Yuzhu Luo (91 shared papers)Jiqing Wang (117 shared papers)Xiu Liu (97 shared papers)Jiang Hu (81 shared papers)Huitong Zhou (41 shared papers)Jon G. H. Hickford (40 shared papers)Hua Gong (20 shared papers)Zhiyun Hao (38 shared papers)
- Journals
- Animals (28 papers)Genes (21 papers)International Journal of Molecular Sciences (16 papers)Frontiers in Veterinary Science (8 papers)Journal of Animal Science (4 papers)
- Partner nations
- ChinaNew ZealandMacao
In The Last Decade
Shaobin Li
171 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 128
- Urology 332
- Cancer Research 448
- Agronomy and Crop Science 223
- Cell Biology 338
- Animal Science and Zoology 187
Countries citing papers authored by Shaobin Li
This map shows the geographic impact of Shaobin 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 Shaobin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaobin Li more than expected).
Fields of papers citing papers by Shaobin Li
This network shows the impact of papers produced by Shaobin 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 Shaobin Li. The network helps show where Shaobin Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaobin 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 182 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 93 | |
| 2 | 2021 | 65 | |
| 3 | 2020 | 50 | |
| 4 | 2011 | 50 | |
| 5 | 2019 | 45 | |
| 6 | 2017 | 44 | |
| 7 | 2020 | 42 | |
| 8 | 2018 | 41 | |
| 9 | 2017 | 38 | |
| 10 | 2020 | 37 | |
| 11 | 2022 | 35 | |
| 12 | 2017 | 29 | |
| 13 | 2020 | 28 | |
| 14 | 2017 | 28 | |
| 15 | 2022 | 27 | |
| 16 | 2017 | 27 | |
| 17 | 2021 | 25 | |
| 18 | 2021 | 23 | |
| 19 | 2021 | 22 | |
| 20 | 2019 | 22 |
About Shaobin Li
Shaobin Li is a scholar working on Molecular Biology, Cancer Research, Genetics, Urology and Cell Biology, having authored 182 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (49 papers), Hair Growth and Disorders (33 papers), Skin and Cellular Biology Research (31 papers), MicroRNA in disease regulation (21 papers), Ruminant Nutrition and Digestive Physiology (17 papers), Genetic and phenotypic traits in livestock (17 papers), Circular RNAs in diseases (17 papers) and Adipose Tissue and Metabolism (13 papers). The work is most often cited by research in Urology (332 citations), Cancer Research (448 citations), Agronomy and Crop Science (223 citations), Cell Biology (338 citations) and Animal Science and Zoology (187 citations). Shaobin Li has collaborated with scholars based in China, New Zealand and Macao. Frequent co-authors include Yuzhu Luo, Jiqing Wang, Xiu Liu, Jiang Hu, Huitong Zhou, Jon G. H. Hickford, Hua Gong, Zhiyun Hao, Fangfang Zhao and Bingang Shi. Their work appears in journals such as Animals, Genes, International Journal of Molecular Sciences, Frontiers in Veterinary Science and Journal of Animal Science.
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.