Ting Shan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- RNA modifications and cancer 5
- Circular RNAs in diseases 3
- RNA Research and Splicing 2
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 5
- Co-authors
- T. K. Kwei (2 shared papers)Eli M. Pearce (1 shared paper)Xiaoyu Xu (6 shared papers)Zeqian Huang (6 shared papers)Yanjuan Huang (6 shared papers)Jiazeng Xia (6 shared papers)Kaiyuan Deng (6 shared papers)Chunshun Zhao (5 shared papers)
- Journals
- Journal of Surgical Research (3 papers)Scientific Reports (2 papers)Journal of Controlled Release (2 papers)Molecular Cell (2 papers)Biomaterials (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Ting Shan
35 papers receiving 859 citations
Peers
Comparison fields: 5 of 102
- Cancer Research 257
- Biomaterials 122
- Polymers and Plastics 126
- Molecular Biology 406
- Nuclear Energy and Engineering 2
Countries citing papers authored by Ting Shan
This map shows the geographic impact of Ting Shan'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 Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Shan more than expected).
Fields of papers citing papers by Ting Shan
This network shows the impact of papers produced by Ting Shan. 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 Shan. The network helps show where Ting Shan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Shan, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 77 | |
| 2 | 1981 | 57 | |
| 3 | 2017 | 54 | |
| 4 | 2024 | 50 | |
| 5 | 2021 | 50 | |
| 6 | 2015 | 48 | |
| 7 | 2022 | 46 | |
| 8 | 2022 | 43 | |
| 9 | 2020 | 39 | |
| 10 | 2016 | 39 | |
| 11 | 2021 | 37 | |
| 12 | 2013 | 35 | |
| 13 | 2011 | 34 | |
| 14 | 2016 | 33 | |
| 15 | 2023 | 31 | |
| 16 | 2022 | 31 | |
| 17 | 2023 | 26 | |
| 18 | 2022 | 23 | |
| 19 | 1988 | 15 | |
| 20 | 2024 | 14 |
About Ting Shan
Ting Shan is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Immunology and Surgery, having authored 36 papers that have together received 888 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (6 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers), MicroRNA in disease regulation (5 papers), Immune Cell Function and Interaction (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Circular RNAs in diseases (3 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (257 citations), Biomaterials (122 citations), Polymers and Plastics (126 citations), Molecular Biology (406 citations) and Nuclear Energy and Engineering (2 citations). Ting Shan has collaborated with scholars based in China and United States. Frequent co-authors include T. K. Kwei, Eli M. Pearce, Xiaoyu Xu, Zeqian Huang, Yanjuan Huang, Jiazeng Xia, Kaiyuan Deng, Chunshun Zhao, Zishan Zeng and Meixu Chen. Their work appears in journals such as Journal of Surgical Research, Scientific Reports, Journal of Controlled Release, Molecular Cell and Biomaterials.
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.