Nanmu Yang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- RNA modifications and cancer
- Cancer-related gene regulation
- RNA Research and Splicing
Papers in
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- RNA modifications and cancer 2
- Ubiquitin and proteasome pathways 1
- Bioactive natural compounds 1
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- Cancer-related molecular mechanisms research 2
- Cancer Genomics and Diagnostics 1
- Co-authors
- Jinxue Zhou (4 shared papers)Qingjun Li (3 shared papers)Feng Han (2 shared papers)Zhengzheng Wang (2 shared papers)Tao Wang (1 shared paper)Ruili Zhu (1 shared paper)Yi Zhou (2 shared papers)Yinying Lu (1 shared paper)
- Journals
- Cancer Letters (2 papers)Frontiers in Oncology (1 paper)Pharmacological Reports (1 paper)Cancer Cell International (1 paper)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Nanmu Yang
10 papers receiving 317 citations
Nanmu Yang's Hit Papers
Peers
Comparison fields: 5 of 53
- Cancer Research 111
- Molecular Biology 195
- Hepatology 20
- Pharmacology 15
- Oncology 44
Countries citing papers authored by Nanmu Yang
This map shows the geographic impact of Nanmu 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 Nanmu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanmu Yang more than expected).
Fields of papers citing papers by Nanmu Yang
This network shows the impact of papers produced by Nanmu 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 Nanmu Yang. The network helps show where Nanmu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Nanmu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 94 | |
| 2 | Pharmacogenomic profiling of intra-tumor heterogeneity using a large organoid biobank of liver cancer Hit paper breakdown → | 2024 | 78 |
| 3 | 2014 | 44 | |
| 4 | 2016 | 37 | |
| 5 | 2019 | 25 | |
| 6 | 2024 | 24 | |
| 7 | 2023 | 10 | |
| 8 | 2021 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 0 |
About Nanmu Yang
Nanmu Yang is a scholar working on Molecular Biology, Cancer Research, Hepatology, Cellular and Molecular Neuroscience and Neurology, having authored 11 papers that have together received 317 indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Ubiquitin and proteasome pathways (1 paper), Ferroptosis and cancer prognosis (1 paper), Cancer Genomics and Diagnostics (1 paper), Bioactive natural compounds (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Cancer Research (111 citations), Molecular Biology (195 citations), Hepatology (20 citations), Pharmacology (15 citations) and Oncology (44 citations). Nanmu Yang has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Jinxue Zhou, Qingjun Li, Feng Han, Zhengzheng Wang, Tao Wang, Ruili Zhu, Yi Zhou, Feng Han, Tao Wang and Yinying Lu. Their work appears in journals such as Cancer Letters, Frontiers in Oncology, Pharmacological Reports, Cancer Cell International and Proteins Structure Function and Bioinformatics.
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.