Shaolin Nie
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Extracellular vesicles in disease
Papers in
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- Cancer-related molecular mechanisms research 5
- Cancer, Hypoxia, and Metabolism 1
- MicroRNA in disease regulation 1
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- RNA modifications and cancer 3
- RNA Research and Splicing 2
- Circular RNAs in diseases 1
- Co-authors
- Jumei Zhou (6 shared papers)Yanyan Tang (4 shared papers)Qianjin Liao (4 shared papers)Wei Xiong (3 shared papers)Jirong Huo (1 shared paper)Jian Gong (1 shared paper)Qiao Peng (1 shared paper)Yi He (1 shared paper)
- Journals
- Molecular Cancer (1 paper)Frontiers in Oncology (1 paper)Abdominal Radiology (1 paper)Molecular Carcinogenesis (1 paper)Journal of Cellular Physiology (1 paper)
- Partner nations
- ChinaSaudi ArabiaUnited States
In The Last Decade
Shaolin Nie
10 papers receiving 371 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 213
- Molecular Biology 219
- Oncology 49
- Cell Biology 24
- Immunology 23
Countries citing papers authored by Shaolin Nie
This map shows the geographic impact of Shaolin Nie'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 Shaolin Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaolin Nie more than expected).
Fields of papers citing papers by Shaolin Nie
This network shows the impact of papers produced by Shaolin Nie. 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 Shaolin Nie. The network helps show where Shaolin Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaolin Nie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 135 | |
| 2 | 2015 | 62 | |
| 3 | 2019 | 41 | |
| 4 | 2020 | 31 | |
| 5 | 2023 | 26 | |
| 6 | 2013 | 26 | |
| 7 | 2021 | 20 | |
| 8 | 2019 | 18 | |
| 9 | 2014 | 12 | |
| 10 | 2024 | 4 |
About Shaolin Nie
Shaolin Nie is a scholar working on Cancer Research, Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology and Physiology, having authored 10 papers that have together received 375 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (2 papers), Lipid metabolism and disorders (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), MicroRNA in disease regulation (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Cancer Research (213 citations), Molecular Biology (219 citations), Oncology (49 citations), Cell Biology (24 citations) and Immunology (23 citations). Shaolin Nie has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Jumei Zhou, Yanyan Tang, Qianjin Liao, Wei Xiong, Jirong Huo, Jian Gong, Qiao Peng, Yi He, Zhaojian Gong and Yong Li. Their work appears in journals such as Molecular Cancer, Frontiers in Oncology, Abdominal Radiology, Molecular Carcinogenesis and Journal of Cellular Physiology.
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.