Yaoting Sun
Impact in
-
- Medicinal plant effects and applications
Papers in
-
- Metabolomics and Mass Spectrometry Studies 3
- Single-cell and spatial transcriptomics 2
- Oncology 5
- Drug Transport and Resistance Mechanisms 3
- Co-authors
- Qiang Meng (5 shared papers)Changyuan Wang (5 shared papers)Zhihao Liu (5 shared papers)Xiaokui Huo (5 shared papers)Pengyuan Sun (5 shared papers)Huijun Sun (5 shared papers)Kexin Liu (5 shared papers)Jinyong Peng (4 shared papers)
- Journals
- Nature Communications (2 papers)Molecular & Cellular Proteomics (2 papers)PROTEOMICS (2 papers)Journal of Cellular Physiology (2 papers)Endocrine Pathology (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yaoting Sun
15 papers receiving 230 citations
Peers
Comparison fields: 5 of 77
- Complementary and alternative medicine 28
- Structural Biology 4
- Spectroscopy 43
- Biophysics 13
- Cancer Research 34
Countries citing papers authored by Yaoting Sun
This map shows the geographic impact of Yaoting 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 Yaoting Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaoting Sun more than expected).
Fields of papers citing papers by Yaoting Sun
This network shows the impact of papers produced by Yaoting 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 Yaoting Sun. The network helps show where Yaoting Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaoting 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 44 | |
| 2 | 2022 | 36 | |
| 3 | 2016 | 31 | |
| 4 | 2018 | 25 | |
| 5 | 2018 | 21 | |
| 6 | 2018 | 21 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2024 | 6 | |
| 11 | 2020 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 |
About Yaoting Sun
Yaoting Sun is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Spectroscopy and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 233 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Single-cell and spatial transcriptomics (2 papers), Medicinal plant effects and applications (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Complementary and alternative medicine (28 citations), Structural Biology (4 citations), Spectroscopy (43 citations), Biophysics (13 citations) and Cancer Research (34 citations). Yaoting Sun has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qiang Meng, Changyuan Wang, Zhihao Liu, Xiaokui Huo, Pengyuan Sun, Huijun Sun, Kexin Liu, Jinyong Peng, Tiannan Guo and Xiaodong Ma. Their work appears in journals such as Nature Communications, Molecular & Cellular Proteomics, PROTEOMICS, Journal of Cellular Physiology and Endocrine Pathology.
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.