Suke Li
Impact in
Papers in
- Genetics 7
- Mesenchymal stem cell research 7
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- Spam and Phishing Detection 3
- Co-authors
- Chengxiang Dai (15 shared papers)Liangjing Lu (4 shared papers)Yang Song (3 shared papers)Hui Du (3 shared papers)David J. Hunter (1 shared paper)Li Zhang (1 shared paper)Xiaoling Gao (6 shared papers)Li Zhang (3 shared papers)
- Journals
- Stem Cell Research & Therapy (3 papers)Regenerative Medicine (3 papers)Journal of Controlled Release (2 papers)Acta Pharmaceutica Sinica B (1 paper)ACS Nano (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Suke Li
24 papers receiving 922 citations
Suke Li's Hit Papers
Peers
Comparison fields: 5 of 87
- Genetics 340
- Urology 157
- Rheumatology 263
- Cancer Research 109
- Neurology 48
Countries citing papers authored by Suke Li
This map shows the geographic impact of Suke 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 Suke Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suke Li more than expected).
Fields of papers citing papers by Suke Li
This network shows the impact of papers produced by Suke 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 Suke Li. The network helps show where Suke Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Suke 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 197 | |
| 2 | 2019 | 189 | |
| 3 | 2020 | 122 | |
| 4 | Clinical safety and efficacy of allogenic human adipose mesenchymal stromal cells‐derived exosomes in patients with mild to moderate Alzheimer’s disease: a phase I/II clinical trial Hit paper breakdown → | 2023 | 102 |
| 5 | 2019 | 53 | |
| 6 | 2023 | 53 | |
| 7 | 2015 | 44 | |
| 8 | 2023 | 35 | |
| 9 | 2020 | 35 | |
| 10 | 2020 | 35 | |
| 11 | 2023 | 31 | |
| 12 | 2022 | 16 | |
| 13 | 2013 | 7 | |
| 14 | 2010 | 4 | |
| 15 | 2013 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2010 | 2 | |
| 19 | 2010 | 2 | |
| 20 | 2009 | 2 |
About Suke Li
Suke Li is a scholar working on Genetics, Information Systems, Artificial Intelligence, Molecular Biology and Urology, having authored 24 papers that have together received 943 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Extracellular vesicles in disease (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Text and Document Classification Technologies (4 papers), Periodontal Regeneration and Treatments (4 papers), RNA Interference and Gene Delivery (3 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Genetics (340 citations), Urology (157 citations), Rheumatology (263 citations), Cancer Research (109 citations) and Neurology (48 citations). Suke Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chengxiang Dai, Liangjing Lu, Yang Song, Hui Du, David J. Hunter, Li Zhang, Xiaoling Gao, Li Zhang, Qingxiang Song and Chunde Bao. Their work appears in journals such as Stem Cell Research & Therapy, Regenerative Medicine, Journal of Controlled Release, Acta Pharmaceutica Sinica B and ACS Nano.
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.