Kunsheng Li
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Extracellular vesicles in disease
- Inflammasome and immune disorders
Papers in
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- Circular RNAs in diseases 7
- Extracellular vesicles in disease 2
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- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 5
- Co-authors
- Yang Bai (5 shared papers)Yan Zhou (2 shared papers)Lu Liu (1 shared paper)Dongjin Wang (3 shared papers)Shiliang Li (4 shared papers)Pengyu Zhou (5 shared papers)Jun Pan (3 shared papers)Xiaoming Wang (1 shared paper)
In The Last Decade
Kunsheng Li
21 papers receiving 305 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 131
- Molecular Biology 180
- Applied Microbiology and Biotechnology 5
- Biochemistry 13
- Geriatrics and Gerontology 8
Countries citing papers authored by Kunsheng Li
This map shows the geographic impact of Kunsheng 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 Kunsheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunsheng Li more than expected).
Fields of papers citing papers by Kunsheng Li
This network shows the impact of papers produced by Kunsheng 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 Kunsheng Li. The network helps show where Kunsheng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunsheng 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 45 | |
| 2 | 2019 | 42 | |
| 3 | 2021 | 39 | |
| 4 | 2020 | 35 | |
| 5 | 2021 | 27 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 12 | |
| 8 | 2020 | 11 | |
| 9 | 2019 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2015 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2020 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2016 | 2 | |
| 20 | 2023 | 2 |
About Kunsheng Li
Kunsheng Li is a scholar working on Molecular Biology, Cancer Research, Surgery, Pathology and Forensic Medicine and Genetics, having authored 22 papers that have together received 310 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (7 papers), Cancer-related molecular mechanisms research (5 papers), Transplantation: Methods and Outcomes (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Mesenchymal stem cell research (3 papers), Organ Transplantation Techniques and Outcomes (3 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Cancer Research (131 citations), Molecular Biology (180 citations), Applied Microbiology and Biotechnology (5 citations), Biochemistry (13 citations) and Geriatrics and Gerontology (8 citations). Kunsheng Li has collaborated with scholars based in China, Germany and Hungary. Frequent co-authors include Yang Bai, Yan Zhou, Lu Liu, Dongjin Wang, Shiliang Li, Pengyu Zhou, Jun Pan, Xiaoming Wang, Hongjun Peng and Liping Ma. Their work appears in journals such as Frontiers in Immunology, Cardiovascular Pathology, International Journal of Cardiology, The Heart Surgery Forum and International Journal of Biological Sciences.
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.