Ting Sun
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA modifications and cancer
- Circular RNAs in diseases
- Cancer-related gene regulation
- Extracellular vesicles in disease
- Epigenetics and DNA Methylation
Papers in
-
- RNA modifications and cancer 8
- Cancer-related gene regulation 8
- Ubiquitin and proteasome pathways 6
-
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Co-authors
- Liang Ming (5 shared papers)Ruiyan Wu (2 shared papers)Yangxia Wang (3 shared papers)Lin Jiao (4 shared papers)Yan Yu (2 shared papers)Jinbo Liu (1 shared paper)Guixian Wang (1 shared paper)Haijiang Wang (1 shared paper)
- Journals
- Theranostics (2 papers)Biomedicine & Pharmacotherapy (2 papers)Cell Death and Disease (2 papers)Blood (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ting Sun
38 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Cancer Research 1.2k
- Molecular Biology 1.9k
- Geriatrics and Gerontology 87
- Oncology 390
- Epidemiology 367
Countries citing papers authored by Ting Sun
This map shows the geographic impact of Ting 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 Ting Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Sun more than expected).
Fields of papers citing papers by Ting Sun
This network shows the impact of papers produced by Ting 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 Ting Sun. The network helps show where Ting Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The role of m6A RNA methylation in cancer Hit paper breakdown → | 2019 | 662 |
| 2 | Exosomal circRNAs: biogenesis, effect and application in human diseases Hit paper breakdown → | 2019 | 504 |
| 3 | 2018 | 202 | |
| 4 | 2015 | 181 | |
| 5 | Liquid biopsy in cancer: current status, challenges and future prospects Hit paper breakdown → | 2024 | 176 |
| 6 | 2021 | 133 | |
| 7 | 2019 | 113 | |
| 8 | 2019 | 80 | |
| 9 | 2017 | 79 | |
| 10 | 2012 | 66 | |
| 11 | 2014 | 62 | |
| 12 | 2021 | 41 | |
| 13 | 2020 | 39 | |
| 14 | 2020 | 32 | |
| 15 | 2024 | 24 | |
| 16 | 2020 | 21 | |
| 17 | 2019 | 21 | |
| 18 | 2023 | 19 | |
| 19 | 2022 | 19 | |
| 20 | 2020 | 18 |
About Ting Sun
Ting Sun is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Cell Biology, having authored 39 papers that have together received 2.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cancer-related gene regulation (8 papers), Autophagy in Disease and Therapy (7 papers), Ubiquitin and proteasome pathways (6 papers), Cancer-related molecular mechanisms research (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), MicroRNA in disease regulation (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (1.9k citations), Geriatrics and Gerontology (87 citations), Oncology (390 citations) and Epidemiology (367 citations). Ting Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Liang Ming, Ruiyan Wu, Yangxia Wang, Lin Jiao, Yan Yu, Jinbo Liu, Guixian Wang, Haijiang Wang, Zhenqiang Sun and Weitang Yuan. Their work appears in journals such as Theranostics, Biomedicine & Pharmacotherapy, Cell Death and Disease, Blood and Clinical Cancer Research.
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.