Junyun Cheng
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Extracellular vesicles in disease
Papers in
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- Single-cell and spatial transcriptomics 8
- Gene Regulatory Network Analysis 3
- Advanced biosensing and bioanalysis techniques 1
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- Cancer Genomics and Diagnostics 2
- MicroRNA in disease regulation 1
- Co-authors
- Xiaohui Fan (10 shared papers)Jie Liao (10 shared papers)Xiaoyan Lu (9 shared papers)Xin Shao (9 shared papers)Chengyu Li (3 shared papers)Penghui Yang (7 shared papers)Huajun Chen (3 shared papers)Haihong Yang (3 shared papers)
- Journals
- Nature Communications (2 papers)Advanced Science (2 papers)Minerals Engineering (1 paper)Cell Genomics (1 paper)Journal of Pharmaceutical Analysis (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Junyun Cheng
13 papers receiving 503 citations
Peers
Comparison fields: 5 of 77
- Biophysics 99
- Molecular Biology 423
- Cancer Research 91
- Immunology 95
- Neurology 24
Countries citing papers authored by Junyun Cheng
This map shows the geographic impact of Junyun Cheng'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 Junyun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyun Cheng more than expected).
Fields of papers citing papers by Junyun Cheng
This network shows the impact of papers produced by Junyun Cheng. 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 Junyun Cheng. The network helps show where Junyun Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyun Cheng, 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 | 167 | |
| 2 | 2021 | 97 | |
| 3 | 2022 | 90 | |
| 4 | 2022 | 48 | |
| 5 | 2021 | 34 | |
| 6 | 2023 | 24 | |
| 7 | 2022 | 21 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 6 | |
| 10 | 2014 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2025 | 1 | |
| 13 | 2013 | 1 | |
| 14 | 2025 | 0 |
About Junyun Cheng
Junyun Cheng is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Genetics and Mechanical Engineering, having authored 14 papers that have together received 506 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Gene Regulatory Network Analysis (3 papers), Cancer Genomics and Diagnostics (2 papers), Metal Extraction and Bioleaching (2 papers), MicroRNA in disease regulation (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Biophysics (99 citations), Molecular Biology (423 citations), Cancer Research (91 citations), Immunology (95 citations) and Neurology (24 citations). Junyun Cheng has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xiaohui Fan, Jie Liao, Xiaoyan Lu, Xin Shao, Chengyu Li, Penghui Yang, Huajun Chen, Haihong Yang, Jingyang Qian and Xiang Zhuang. Their work appears in journals such as Nature Communications, Advanced Science, Minerals Engineering, Cell Genomics and Journal of Pharmaceutical Analysis.
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.