Jiaying Li
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Histone Deacetylase Inhibitors Research
- RNA modifications and cancer
- Circular RNAs in diseases
- Extracellular vesicles in disease
Papers in
-
- Circular RNAs in diseases 14
- RNA modifications and cancer 13
- RNA Research and Splicing 7
-
- Cancer-related molecular mechanisms research 27
- MicroRNA in disease regulation 13
- Co-authors
- Bin Li (18 shared papers)Yuri K. Peterson (3 shared papers)Huan Wang (9 shared papers)Elizabeth S. Inks (3 shared papers)C. James Chou (3 shared papers)Fengxuan Han (11 shared papers)Dingli Xu (6 shared papers)Qingchun Zeng (6 shared papers)
- Journals
- Advanced Science (6 papers)Medicine (4 papers)Frontiers in Oncology (3 papers)Advanced Materials (3 papers)Frontiers in Immunology (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jiaying Li
154 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 137
- Cancer Research 537
- Molecular Biology 1.4k
- Oncology 431
- Molecular Medicine 73
- Immunology 298
Countries citing papers authored by Jiaying Li
This map shows the geographic impact of Jiaying Li'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 Jiaying Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaying Li more than expected).
Fields of papers citing papers by Jiaying Li
This network shows the impact of papers produced by Jiaying Li. 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 Jiaying Li. The network helps show where Jiaying Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiaying Li, 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 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 127 | |
| 2 | 2019 | 126 | |
| 3 | 2016 | 88 | |
| 4 | 2018 | 81 | |
| 5 | 2021 | 80 | |
| 6 | 2018 | 72 | |
| 7 | 2020 | 71 | |
| 8 | 2015 | 70 | |
| 9 | 2020 | 70 | |
| 10 | 2018 | 70 | |
| 11 | 2021 | 66 | |
| 12 | 2019 | 63 | |
| 13 | 2020 | 59 | |
| 14 | 2023 | 52 | |
| 15 | 2015 | 48 | |
| 16 | 2019 | 48 | |
| 17 | 2019 | 47 | |
| 18 | 2022 | 47 | |
| 19 | 2022 | 47 | |
| 20 | 2020 | 45 |
About Jiaying Li
Jiaying Li is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Immunology, having authored 169 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (27 papers), Circular RNAs in diseases (14 papers), RNA modifications and cancer (13 papers), MicroRNA in disease regulation (13 papers), Ferroptosis and cancer prognosis (8 papers), RNA Research and Splicing (7 papers), Bone Tissue Engineering Materials (7 papers) and interferon and immune responses (7 papers). The work is most often cited by research in Cancer Research (537 citations), Molecular Biology (1.4k citations), Oncology (431 citations), Molecular Medicine (73 citations) and Immunology (298 citations). Jiaying Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Bin Li, Yuri K. Peterson, Huan Wang, Elizabeth S. Inks, C. James Chou, Fengxuan Han, Dingli Xu, Qingchun Zeng, Cheng Zhang and Hao Ren. Their work appears in journals such as Advanced Science, Medicine, Frontiers in Oncology, Advanced Materials and Frontiers in Immunology.
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.