Shaonan Yang
Impact in
- Cancer Research top 5%
- 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
- RNA regulation and disease
Papers in
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- Circular RNAs in diseases 6
- Inflammasome and immune disorders 4
- RNA regulation and disease 3
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- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 7
- Co-authors
- Xudong Pan (21 shared papers)Aijun Ma (16 shared papers)Ruihua Yin (11 shared papers)Xiaoyan Zhu (8 shared papers)Juanjuan Ma (3 shared papers)Na Li (2 shared papers)Anmu Xie (1 shared paper)Jingli Zhang (1 shared paper)
- Journals
- Neurological Sciences (2 papers)Journal of Cellular Biochemistry (2 papers)Journal of Alzheimer s Disease (2 papers)International Immunopharmacology (2 papers)Clinica Chimica Acta (2 papers)
- Partner nations
- China
In The Last Decade
Shaonan Yang
35 papers receiving 726 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 267
- Molecular Biology 401
- Immunology 117
- Neurology 40
- Epidemiology 120
Countries citing papers authored by Shaonan Yang
This map shows the geographic impact of Shaonan Yang'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 Shaonan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaonan Yang more than expected).
Fields of papers citing papers by Shaonan Yang
This network shows the impact of papers produced by Shaonan Yang. 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 Shaonan Yang. The network helps show where Shaonan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaonan Yang, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 94 | |
| 2 | 2020 | 69 | |
| 3 | 2020 | 56 | |
| 4 | 2019 | 53 | |
| 5 | 2018 | 53 | |
| 6 | 2019 | 34 | |
| 7 | 2018 | 31 | |
| 8 | 2020 | 30 | |
| 9 | 2017 | 29 | |
| 10 | 2022 | 26 | |
| 11 | 2019 | 23 | |
| 12 | 2016 | 23 | |
| 13 | 2017 | 22 | |
| 14 | 2018 | 18 | |
| 15 | 2018 | 18 | |
| 16 | 2021 | 18 | |
| 17 | 2012 | 16 | |
| 18 | 2013 | 15 | |
| 19 | 2023 | 14 | |
| 20 | 2021 | 12 |
About Shaonan Yang
Shaonan Yang is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Immunology and Oncology, having authored 37 papers that have together received 728 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Autophagy in Disease and Therapy (8 papers), Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (6 papers), Inflammasome and immune disorders (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), interferon and immune responses (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Cancer Research (267 citations), Molecular Biology (401 citations), Immunology (117 citations), Neurology (40 citations) and Epidemiology (120 citations). Shaonan Yang has collaborated with scholars based in China. Frequent co-authors include Xudong Pan, Aijun Ma, Ruihua Yin, Xiaoyan Zhu, Juanjuan Ma, Na Li, Anmu Xie, Jingli Zhang, Qi Xiao and Yuan Wang. Their work appears in journals such as Neurological Sciences, Journal of Cellular Biochemistry, Journal of Alzheimer s Disease, International Immunopharmacology and Clinica Chimica Acta.
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.