Yusha Sun
Impact in
-
- Cancer Cells and Metastasis
- CAR-T cell therapy research
-
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 2
- Protein Degradation and Inhibitors 2
-
- 3D Printing in Biomedical Research 4
- Co-authors
- Robert H. Austin (6 shared papers)Gonzalo Torga (5 shared papers)Kenneth J. Pienta (6 shared papers)Thomas Werner (3 shared papers)William Raynor (3 shared papers)Peter Sang Uk Park (3 shared papers)Abass Alavi (3 shared papers)James C. Sturm (4 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Cell stem cell (2 papers)Neuro-Oncology (2 papers)iScience (1 paper)Blood (1 paper)
- Partner nations
- United StatesChinaNorway
In The Last Decade
Yusha Sun
20 papers receiving 233 citations
Peers
Comparison fields: 5 of 61
- Oncology 70
- Cancer Research 37
- Cell Biology 31
- Food Science 32
- Modeling and Simulation 8
Countries citing papers authored by Yusha Sun
This map shows the geographic impact of Yusha Sun'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 Yusha Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusha Sun more than expected).
Fields of papers citing papers by Yusha Sun
This network shows the impact of papers produced by Yusha Sun. 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 Yusha Sun. The network helps show where Yusha Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yusha Sun, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 56 | |
| 2 | 2021 | 39 | |
| 3 | 2024 | 33 | |
| 4 | 2023 | 20 | |
| 5 | 2021 | 15 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2024 | 8 | |
| 9 | 2020 | 8 | |
| 10 | 2020 | 7 | |
| 11 | 2024 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2022 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2022 | 1 |
About Yusha Sun
Yusha Sun is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Food Science and Genetics, having authored 26 papers that have together received 236 indexed citations. Recurring topics across this work include Proteins in Food Systems (5 papers), 3D Printing in Biomedical Research (4 papers), Food composition and properties (3 papers), Mathematical Biology Tumor Growth (3 papers), Glioma Diagnosis and Treatment (3 papers), Single-cell and spatial transcriptomics (2 papers), Protein Degradation and Inhibitors (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Oncology (70 citations), Cancer Research (37 citations), Cell Biology (31 citations), Food Science (32 citations) and Modeling and Simulation (8 citations). Yusha Sun has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Robert H. Austin, Gonzalo Torga, Kenneth J. Pienta, Thomas Werner, William Raynor, Peter Sang Uk Park, Abass Alavi, James C. Sturm, Robert Axelrod and Chamith S. Rajapakse. Their work appears in journals such as Journal of Visualized Experiments, Cell stem cell, Neuro-Oncology, iScience and Blood.
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.