Shanni Li
Impact in
- Aquatic Science top 5%
-
- Circular RNAs in diseases
- Gut microbiota and health
- RNA modifications and cancer
Papers in
- Surgery 10
- Orthopaedic implants and arthroplasty 3
- Organ Transplantation Techniques and Outcomes 3
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- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Zanxian Xia (6 shared papers)Cyrollah Disoma (3 shared papers)Yuzheng Zhou (3 shared papers)Nai‐Zheng Ding (3 shared papers)Cheng-Qiang He (3 shared papers)Xingming Wang (3 shared papers)Kangshun Li (5 shared papers)Wei Li (2 shared papers)
- Journals
- Carbohydrate Polymers (4 papers)International Journal of Sensor Networks (2 papers)Frontiers in Microbiology (2 papers)Molecules (2 papers)Journal of Virology (2 papers)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Shanni Li
59 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 77
- Aquatic Science 37
- Molecular Biology 261
- Health Informatics 8
- Cell Biology 39
- Cancer Research 34
Countries citing papers authored by Shanni Li
This map shows the geographic impact of Shanni 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 Shanni Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanni Li more than expected).
Fields of papers citing papers by Shanni Li
This network shows the impact of papers produced by Shanni 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 Shanni Li. The network helps show where Shanni Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shanni 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 175 | |
| 2 | 2021 | 112 | |
| 3 | 2009 | 70 | |
| 4 | 2021 | 56 | |
| 5 | 2022 | 55 | |
| 6 | 2010 | 44 | |
| 7 | 2019 | 43 | |
| 8 | 2023 | 39 | |
| 9 | 2020 | 33 | |
| 10 | 2022 | 33 | |
| 11 | 2020 | 32 | |
| 12 | 2017 | 29 | |
| 13 | 2018 | 29 | |
| 14 | 2021 | 28 | |
| 15 | 2017 | 27 | |
| 16 | 2021 | 25 | |
| 17 | 2020 | 24 | |
| 18 | 2018 | 22 | |
| 19 | 2021 | 20 | |
| 20 | 2021 | 20 |
About Shanni Li
Shanni Li is a scholar working on Surgery, Infectious Diseases, Cell Biology, Molecular Biology and Rheumatology, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Proteoglycans and glycosaminoglycans research (3 papers), Orthopaedic implants and arthroplasty (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Smart Agriculture and AI (2 papers). The work is most often cited by research in Aquatic Science (37 citations), Molecular Biology (261 citations), Health Informatics (8 citations), Cell Biology (39 citations) and Cancer Research (34 citations). Shanni Li has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Zanxian Xia, Cyrollah Disoma, Yuzheng Zhou, Nai‐Zheng Ding, Cheng-Qiang He, Xingming Wang, Kangshun Li, Wei Li, Wenwei Qian and Jian Peng. Their work appears in journals such as Carbohydrate Polymers, International Journal of Sensor Networks, Frontiers in Microbiology, Molecules and Journal of Virology.
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.