Shenglan Yang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
Papers in
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- Circular RNAs in diseases 4
- Inflammasome and immune disorders 3
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 5
- Co-authors
- Chen Chen (11 shared papers)Dao Wen Wang (10 shared papers)Yan Wang (5 shared papers)Fuqiong Chen (5 shared papers)Wei Gong (3 shared papers)Feng Wang (3 shared papers)Quanlu Duan (3 shared papers)Guangwen Long (3 shared papers)
- Journals
- PLoS ONE (3 papers)Chinese Journal of Integrative Medicine (2 papers)Human Gene Therapy (1 paper)Ecological Indicators (1 paper)American Journal of Industrial Medicine (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Shenglan Yang
33 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 106
- Cancer Research 517
- Biochemistry 148
- Pharmacology 78
- Molecular Biology 612
- Hepatology 43
Countries citing papers authored by Shenglan Yang
This map shows the geographic impact of Shenglan 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 Shenglan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shenglan Yang more than expected).
Fields of papers citing papers by Shenglan Yang
This network shows the impact of papers produced by Shenglan 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 Shenglan Yang. The network helps show where Shenglan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shenglan 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 | 2012 | 152 | |
| 2 | 2012 | 117 | |
| 3 | 2016 | 105 | |
| 4 | 2017 | 89 | |
| 5 | 2015 | 87 | |
| 6 | 2010 | 86 | |
| 7 | 2012 | 57 | |
| 8 | 2017 | 57 | |
| 9 | 2012 | 51 | |
| 10 | 2017 | 45 | |
| 11 | 2012 | 36 | |
| 12 | 2013 | 36 | |
| 13 | 2014 | 32 | |
| 14 | 2023 | 26 | |
| 15 | 2023 | 14 | |
| 16 | 2022 | 11 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2010 | 5 |
About Shenglan Yang
Shenglan Yang is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Biochemistry and Surgery, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Cardiac Health and Mental Health (3 papers), Inflammasome and immune disorders (3 papers), Land Use and Ecosystem Services (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Cancer Research (517 citations), Biochemistry (148 citations), Pharmacology (78 citations), Molecular Biology (612 citations) and Hepatology (43 citations). Shenglan Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chen Chen, Dao Wen Wang, Yan Wang, Fuqiong Chen, Wei Gong, Feng Wang, Quanlu Duan, Guangwen Long, Yingying Luo and Haijun Qi. Their work appears in journals such as PLoS ONE, Chinese Journal of Integrative Medicine, Human Gene Therapy, Ecological Indicators and American Journal of Industrial Medicine.
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.