Yuting Dong
Impact in
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- Cancer Immunotherapy and Biomarkers
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- Cancer Genomics and Diagnostics
Papers in ⓘ
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- Smoking Behavior and Cessation 1
- Co-authors
- Yaqi Duan (6 shared papers)Bo Zhong (1 shared paper)Wei Yang (1 shared paper)Dandan Lin (1 shared paper)Fangfang Liu (1 shared paper)Man Zhang (1 shared paper)Peng Wang (1 shared paper)Qian Chu (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)International Journal of Biological Macromolecules (1 paper)Cell Death and Disease (1 paper)Nature Communications (1 paper)BMC Pregnancy and Childbirth (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yuting Dong
19 papers receiving 311 citations
Peers
Comparison fields: 5 of 93
- Oncology 105
- Cancer Research 44
- Immunology 60
- Molecular Biology 124
- Physiology 7
Countries citing papers authored by Yuting Dong
This map shows the geographic impact of Yuting Dong'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 Yuting Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Dong more than expected).
Fields of papers citing papers by Yuting Dong
This network shows the impact of papers produced by Yuting Dong. 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 Yuting Dong. The network helps show where Yuting Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Dong, 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 | 155 | |
| 2 | 2019 | 55 | |
| 3 | 2007 | 16 | |
| 4 | 2023 | 15 | |
| 5 | Rho-kinase inhibition by Fasudil promotes tumor maturation and apoptosis in small-cell lung cancer. | 2020 | 11 |
| 6 | 2018 | 11 | |
| 7 | 2024 | 10 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2025 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 |
About Yuting Dong
Yuting Dong is a scholar working on Biotechnology, Physiology, Endocrine and Autonomic Systems, Oncology and Cancer Research, having authored 19 papers that have together received 316 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Neuroblastoma Research and Treatments (2 papers), Smoking Behavior and Cessation (1 paper), Microbial Metabolites in Food Biotechnology (1 paper), Fire Detection and Safety Systems (1 paper), Computational Drug Discovery Methods (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Oncology (105 citations), Cancer Research (44 citations), Immunology (60 citations), Molecular Biology (124 citations) and Physiology (7 citations). Yuting Dong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yaqi Duan, Bo Zhong, Wei Yang, Dandan Lin, Fangfang Liu, Man Zhang, Peng Wang, Qian Chu, Yu Deng and Peng Zhang. Their work appears in journals such as Clinical Cancer Research, International Journal of Biological Macromolecules, Cell Death and Disease, Nature Communications and BMC Pregnancy and Childbirth.
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.