Cuixia Di
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- RNA modifications and cancer
- Mitochondrial Function and Pathology
- RNA Research and Splicing
- Circular RNAs in diseases
Papers in
-
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 7
-
- RNA Research and Splicing 12
- RNA modifications and cancer 11
- Mitochondrial Function and Pathology 8
- Cell death mechanisms and regulation 8
- Co-authors
- Jing SiChao SunHong ZhangYupei WangAihong MaoLu GanQiang LiZhihui Dou
- Journals
- Journal of Cellular Physiology (6 papers)Scientific Reports (3 papers)Oncology Reports (3 papers)Cell Death and Disease (3 papers)Artificial Cells Nanomedicine and Biotechnology (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Cuixia Di
69 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Cancer Research 452
- Molecular Biology 1.2k
- Biochemistry 82
- Oncology 284
- Pulmonary and Respiratory Medicine 247
Countries citing papers authored by Cuixia Di
This map shows the geographic impact of Cuixia Di'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 Cuixia Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuixia Di more than expected).
Fields of papers citing papers by Cuixia Di
This network shows the impact of papers produced by Cuixia Di. 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 Cuixia Di. The network helps show where Cuixia Di may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cuixia Di, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 48 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 6 | |
| 7 | Mutant p53 in cancer: from molecular mechanism to therapeutic modulation Hit paper breakdown → | 2022 | 224 |
| 8 | 2021 | 46 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 4 | |
| 11 | 2018 | 58 | |
| 12 | 2017 | 15 | |
| 13 | 2017 | 8 | |
| 14 | 2016 | 68 | |
| 15 | 2015 | 8 | |
| 16 | 2015 | 53 | |
| 17 | 2015 | 23 | |
| 18 | 2015 | 16 | |
| 19 | 2014 | 33 | |
| 20 | 2013 | 16 |
About Cuixia Di
Cuixia Di is a scholar working on Cancer Research, Molecular Biology, Biochemistry, Reproductive Medicine and Physiology, having authored 73 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (12 papers), RNA modifications and cancer (11 papers), Cancer-related Molecular Pathways (9 papers), Mitochondrial Function and Pathology (8 papers), Cell death mechanisms and regulation (8 papers), Cancer-related molecular mechanisms research (8 papers), Radiation Therapy and Dosimetry (8 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Cancer Research (452 citations), Molecular Biology (1.2k citations), Biochemistry (82 citations), Oncology (284 citations) and Pulmonary and Respiratory Medicine (247 citations). Cuixia Di has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jing Si, Chao Sun, Hong Zhang, Yupei Wang, Aihong Mao, Lu Gan, Qiang Li, Zhihui Dou, Xiaodong Xie and Hongyan Li. Their work appears in journals such as Journal of Cellular Physiology, Scientific Reports, Oncology Reports, Cell Death and Disease and Artificial Cells Nanomedicine and Biotechnology.
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.