Yuning Yang
Impact in
-
- Cancer-related molecular mechanisms research
-
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- RNA Research and Splicing
- Circular RNAs in diseases
- Single-cell and spatial transcriptomics
- Protein Structure and Dynamics
- RNA modifications and cancer
Papers in
-
- Single-cell and spatial transcriptomics 7
- Machine Learning in Bioinformatics 7
- RNA and protein synthesis mechanisms 6
- Protein Structure and Dynamics 4
- RNA Research and Splicing 4
- Gene expression and cancer classification 2
-
- Cell Image Analysis Techniques 4
- Co-authors
- Ka‐Chun Wong (15 shared papers)Xiangtao Li (15 shared papers)Zhiqiang Ma (3 shared papers)Fuzhou Wang (5 shared papers)Yi Chang (3 shared papers)Haoran Zhu (3 shared papers)Yunhe Wang (3 shared papers)Shixiong Zhang (2 shared papers)
In The Last Decade
Yuning Yang
19 papers receiving 267 citations
Peers
Comparison fields: 5 of 30
- Cancer Research 60
- Molecular Biology 238
- Biophysics 8
- Computational Theory and Mathematics 18
- Microbiology 3
Countries citing papers authored by Yuning Yang
This map shows the geographic impact of Yuning 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 Yuning Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuning Yang more than expected).
Fields of papers citing papers by Yuning Yang
This network shows the impact of papers produced by Yuning 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 Yuning Yang. The network helps show where Yuning Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuning 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 | 60 | |
| 2 | 2023 | 38 | |
| 3 | 2023 | 32 | |
| 4 | 2023 | 27 | |
| 5 | 2022 | 25 | |
| 6 | 2021 | 11 | |
| 7 | 2024 | 11 | |
| 8 | 2021 | 11 | |
| 9 | 2024 | 10 | |
| 10 | 2024 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2023 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2026 | 0 |
About Yuning Yang
Yuning Yang is a scholar working on Molecular Biology, Biophysics, Cancer Research, Computational Theory and Mathematics and Physiology, having authored 20 papers that have together received 270 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Machine Learning in Bioinformatics (7 papers), RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (4 papers), Cancer-related molecular mechanisms research (4 papers), Cell Image Analysis Techniques (4 papers), RNA Research and Splicing (4 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Cancer Research (60 citations), Molecular Biology (238 citations), Biophysics (8 citations), Computational Theory and Mathematics (18 citations) and Microbiology (3 citations). Yuning Yang has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Ka‐Chun Wong, Xiangtao Li, Zhiqiang Ma, Fuzhou Wang, Yi Chang, Haoran Zhu, Yunhe Wang, Shixiong Zhang, Hongli Ma and Zhaolei Zhang. Their work appears in journals such as Advanced Science, Briefings in Bioinformatics, Nature Communications, Communications Biology and IEEE/ACM Transactions on Computational Biology 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.