Kaisa Cui
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Immunology top 10%
Papers in
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 5
- Cancer, Hypoxia, and Metabolism 5
- Cancer Genomics and Diagnostics 3
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- RNA modifications and cancer 8
- Extracellular vesicles in disease 4
- Ubiquitin and proteasome pathways 4
- Co-authors
- Youjun Li (9 shared papers)Zhaohui Huang (20 shared papers)Surui Yao (12 shared papers)Edward V. Prochownik (4 shared papers)Bojian Fei (13 shared papers)Yahui Zhu (5 shared papers)Bingxin Liu (14 shared papers)Xi Lin (4 shared papers)
- Journals
- Cell Death and Differentiation (4 papers)Oncogene (4 papers)Advanced Science (3 papers)Cell Death and Disease (2 papers)Small (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Kaisa Cui
36 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 82
- Cancer Research 482
- Immunology 263
- Molecular Biology 790
- Geriatrics and Gerontology 32
- Oncology 208
Countries citing papers authored by Kaisa Cui
This map shows the geographic impact of Kaisa Cui'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 Kaisa Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaisa Cui more than expected).
Fields of papers citing papers by Kaisa Cui
This network shows the impact of papers produced by Kaisa Cui. 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 Kaisa Cui. The network helps show where Kaisa Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaisa Cui, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 192 | |
| 2 | 2019 | 109 | |
| 3 | 2020 | 107 | |
| 4 | 2017 | 81 | |
| 5 | 2019 | 68 | |
| 6 | 2024 | 67 | |
| 7 | 2018 | 67 | |
| 8 | 2018 | 63 | |
| 9 | 2017 | 56 | |
| 10 | 2021 | 54 | |
| 11 | 2023 | 50 | |
| 12 | 2018 | 49 | |
| 13 | 2017 | 48 | |
| 14 | 2019 | 47 | |
| 15 | 2021 | 45 | |
| 16 | 2022 | 39 | |
| 17 | 2021 | 28 | |
| 18 | 2023 | 27 | |
| 19 | 2021 | 26 | |
| 20 | 2021 | 23 |
About Kaisa Cui
Kaisa Cui is a scholar working on Cancer Research, Molecular Biology, Immunology, Oncology and Epidemiology, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Ferroptosis and cancer prognosis (4 papers), Extracellular vesicles in disease (4 papers), Ubiquitin and proteasome pathways (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Cancer Research (482 citations), Immunology (263 citations), Molecular Biology (790 citations), Geriatrics and Gerontology (32 citations) and Oncology (208 citations). Kaisa Cui has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Youjun Li, Zhaohui Huang, Surui Yao, Edward V. Prochownik, Bojian Fei, Yahui Zhu, Bingxin Liu, Xi Lin, Li Gu and Yuan Yin. Their work appears in journals such as Cell Death and Differentiation, Oncogene, Advanced Science, Cell Death and Disease and Small.
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.