Yuting Ji
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Cell death mechanisms and regulation 5
- Oncology 11
- Global Cancer Incidence and Screening 4
- Co-authors
- Junjie Luo (5 shared papers)Peng An (5 shared papers)Shuaishuai Zhou (3 shared papers)Zhe Wang (1 shared paper)Jiaping Wang (1 shared paper)Xiqi Jian (1 shared paper)Lanlan Wei (3 shared papers)Yongting Luo (3 shared papers)
- Journals
- Journal of Ovarian Research (2 papers)Journal of Pharmaceutical Sciences (1 paper)Scientific Reports (1 paper)Cell Death Discovery (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Yuting Ji
40 papers receiving 535 citations
Yuting Ji's Hit Papers
Peers
Comparison fields: 5 of 104
- Cancer Research 84
- Molecular Medicine 23
- Oncology 111
- Biomaterials 51
- Molecular Biology 228
Countries citing papers authored by Yuting Ji
This map shows the geographic impact of Yuting Ji'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 Yuting Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Ji more than expected).
Fields of papers citing papers by Yuting Ji
This network shows the impact of papers produced by Yuting Ji. 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 Yuting Ji. The network helps show where Yuting Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Ji, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 77 | |
| 2 | 2018 | 60 | |
| 3 | 2023 | 40 | |
| 4 | 2020 | 38 | |
| 5 | 2013 | 36 | |
| 6 | 2015 | 20 | |
| 7 | 2021 | 19 | |
| 8 | 2022 | 19 | |
| 9 | Global burden of cervical cancer: current estimates, temporal trend and future projections based on the GLOBOCAN 2022 Hit paper breakdown → | 2025 | 17 |
| 10 | 2020 | 16 | |
| 11 | 2021 | 16 | |
| 12 | 2018 | 16 | |
| 13 | 2014 | 15 | |
| 14 | 2025 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2014 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2024 | 11 | |
| 19 | 2017 | 9 | |
| 20 | 2022 | 9 |
About Yuting Ji
Yuting Ji is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 44 papers that have together received 542 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Global Cancer Incidence and Screening (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), Ferroptosis and cancer prognosis (3 papers), Cancer-related molecular mechanisms research (3 papers), interferon and immune responses (3 papers), Nanoplatforms for cancer theranostics (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). The work is most often cited by research in Cancer Research (84 citations), Molecular Medicine (23 citations), Oncology (111 citations), Biomaterials (51 citations) and Molecular Biology (228 citations). Yuting Ji has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Junjie Luo, Peng An, Shuaishuai Zhou, Zhe Wang, Jiaping Wang, Xiqi Jian, Lanlan Wei, Yongting Luo, Xuan Wang and Ming Chu. Their work appears in journals such as Journal of Ovarian Research, Journal of Pharmaceutical Sciences, Scientific Reports, Cell Death Discovery and Frontiers in Cell and Developmental Biology.
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.