Yaoting Sun
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
Papers in
- Spectroscopy 15
- Advanced Proteomics Techniques and Applications 15
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- Thyroid Cancer Diagnosis and Treatment 13
- Co-authors
- Kai Wang (3 shared papers)Fangfang Chen (2 shared papers)Xiaokui Huo (5 shared papers)De Wu (1 shared paper)Changyuan Wang (5 shared papers)Pengyuan Sun (5 shared papers)Huijun Sun (5 shared papers)Jiulai Tang (1 shared paper)
- Journals
- Nature Communications (4 papers)Journal of Proteome Research (3 papers)Journal of Cellular Physiology (2 papers)Cell Discovery (2 papers)Molecular & Cellular Proteomics (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yaoting Sun
41 papers receiving 2.4k citations
Yaoting Sun's Hit Papers
Peers
Comparison fields: 5 of 121
- Infectious Diseases 855
- Spectroscopy 360
- Biological Psychiatry 18
- General Dentistry 5
- Endocrinology, Diabetes and Metabolism 157
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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Proteomic and Metabolomic Characterization of COVID-19 Patient Sera Hit paper breakdown → | 2020 | 1193 |
| 2 | Multi-organ proteomic landscape of COVID-19 autopsies Hit paper breakdown → | 2021 | 330 |
| 3 | 2019 | 103 | |
| 4 | 2016 | 95 | |
| 5 | 2020 | 71 | |
| 6 | 2022 | 52 | |
| 7 | 2019 | 48 | |
| 8 | 2022 | 47 | |
| 9 | 2022 | 46 | |
| 10 | 2017 | 44 | |
| 11 | 2016 | 34 | |
| 12 | 2018 | 32 | |
| 13 | 2020 | 31 | |
| 14 | 2022 | 30 | |
| 15 | 2021 | 24 | |
| 16 | 2018 | 23 | |
| 17 | 2021 | 22 | |
| 18 | 2018 | 21 | |
| 19 | 2021 | 18 | |
| 20 | 2025 | 18 |
About Yaoting Sun
Yaoting Sun is a scholar working on Spectroscopy, Endocrinology, Diabetes and Metabolism, Oncology, Infectious Diseases and Cognitive Neuroscience, having authored 42 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (15 papers), Thyroid Cancer Diagnosis and Treatment (13 papers), Drug Transport and Resistance Mechanisms (5 papers), COVID-19 Clinical Research Studies (4 papers), Autism Spectrum Disorder Research (3 papers), Chronic Myeloid Leukemia Treatments (1 paper), AI in cancer detection (1 paper) and Thyroid and Parathyroid Surgery (1 paper). The work is most often cited by research in Infectious Diseases (855 citations), Spectroscopy (360 citations), Biological Psychiatry (18 citations), General Dentistry (5 citations) and Endocrinology, Diabetes and Metabolism (157 citations). Yaoting Sun has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Kai Wang, Fangfang Chen, Xiaokui Huo, De Wu, Changyuan Wang, Pengyuan Sun, Huijun Sun, Jiulai Tang, Tiannan Guo and Qiang Meng. Their work appears in journals such as Nature Communications, Journal of Proteome Research, Journal of Cellular Physiology, Cell Discovery and Molecular & Cellular Proteomics.
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.