Caiting Yang
Impact in
- Immunology top 10%
- interferon and immune responses
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- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
Papers in
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- RNA modifications and cancer 3
- Glycosylation and Glycoproteins Research 3
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- Galectins and Cancer Biology 4
- Atherosclerosis and Cardiovascular Diseases 2
- Co-authors
- Jianxin Gu (12 shared papers)Hao Wu (10 shared papers)Shushu Song (9 shared papers)Can Li (8 shared papers)Miaomiao Shao (11 shared papers)Peike Peng (9 shared papers)Junjie Zhao (7 shared papers)Yuanyuan Ruan (7 shared papers)
- Journals
- Scientific Reports (5 papers)International Journal of Molecular Sciences (2 papers)Cellular Signalling (2 papers)Virus Research (1 paper)Cell Death Discovery (1 paper)
- Partner nations
- ChinaTaiwanSaudi Arabia
In The Last Decade
Caiting Yang
30 papers receiving 646 citations
Peers
Comparison fields: 5 of 98
- Immunology 233
- Cancer Research 144
- Infectious Diseases 123
- Oncology 125
- Molecular Biology 300
Countries citing papers authored by Caiting Yang
This map shows the geographic impact of Caiting Yang'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 Caiting Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caiting Yang more than expected).
Fields of papers citing papers by Caiting Yang
This network shows the impact of papers produced by Caiting Yang. 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 Caiting Yang. The network helps show where Caiting Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Caiting Yang, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 170 | |
| 2 | 2020 | 56 | |
| 3 | 2016 | 53 | |
| 4 | 2017 | 41 | |
| 5 | 2017 | 38 | |
| 6 | 2017 | 38 | |
| 7 | 2018 | 33 | |
| 8 | 2004 | 24 | |
| 9 | 2016 | 23 | |
| 10 | 2022 | 22 | |
| 11 | 2021 | 19 | |
| 12 | 2021 | 15 | |
| 13 | 2016 | 13 | |
| 14 | 2016 | 13 | |
| 15 | 2024 | 11 | |
| 16 | 2024 | 9 | |
| 17 | 2023 | 9 | |
| 18 | 2016 | 9 | |
| 19 | 2024 | 8 | |
| 20 | 2023 | 8 |
About Caiting Yang
Caiting Yang is a scholar working on Molecular Biology, Immunology, Cancer Research, Infectious Diseases and Oncology, having authored 33 papers that have together received 655 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (4 papers), RNA modifications and cancer (3 papers), Glycosylation and Glycoproteins Research (3 papers), Animal Virus Infections Studies (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Calpain Protease Function and Regulation (2 papers), COVID-19 Clinical Research Studies (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Immunology (233 citations), Cancer Research (144 citations), Infectious Diseases (123 citations), Oncology (125 citations) and Molecular Biology (300 citations). Caiting Yang has collaborated with scholars based in China, Taiwan and Saudi Arabia. Frequent co-authors include Jianxin Gu, Hao Wu, Shushu Song, Can Li, Miaomiao Shao, Peike Peng, Junjie Zhao, Yuanyuan Ruan, Mingming Zhang and Weicheng Wu. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences, Cellular Signalling, Virus Research and Cell Death Discovery.
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.