Chie Kikutake
Impact in
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- Urinary Bladder and Prostate Research
Papers in
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- RNA modifications and cancer 6
- RNA and protein synthesis mechanisms 5
- RNA Research and Splicing 4
- Cancer-related gene regulation 2
- Epigenetics and DNA Methylation 2
- Oncology 5
- Cancer-related Molecular Pathways 2
- Co-authors
- Mikita Suyama (22 shared papers)Koji Yahara (2 shared papers)Minako Yoshihara (3 shared papers)Norio Kobayashi (2 shared papers)Shun Shibata (2 shared papers)Akira Oike (2 shared papers)Tetsuya Sato (3 shared papers)Takeshi Hori (2 shared papers)
- Journals
- Cell Death Discovery (2 papers)Oncotarget (2 papers)Scientific Reports (2 papers)Annals of Surgery (2 papers)Nature Communications (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Chie Kikutake
28 papers receiving 311 citations
Chie Kikutake's Hit Papers
Peers
Comparison fields: 5 of 65
- Obstetrics and Gynecology 28
- Urology 22
- Cancer Research 50
- Reproductive Medicine 23
- Immunology 58
Countries citing papers authored by Chie Kikutake
This map shows the geographic impact of Chie Kikutake'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 Chie Kikutake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chie Kikutake more than expected).
Fields of papers citing papers by Chie Kikutake
This network shows the impact of papers produced by Chie Kikutake. 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 Chie Kikutake. The network helps show where Chie Kikutake may publish in the future.
Co-authors
The 25 scholars most cited alongside Chie Kikutake, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Modeling embryo-endometrial interface recapitulating human embryo implantation Hit paper breakdown → | 2024 | 59 |
| 2 | 2022 | 41 | |
| 3 | 2023 | 27 | |
| 4 | 2018 | 26 | |
| 5 | 2019 | 23 | |
| 6 | 2023 | 20 | |
| 7 | 2018 | 20 | |
| 8 | 2016 | 16 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2018 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2016 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 3 |
About Chie Kikutake
Chie Kikutake is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 313 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), RNA and protein synthesis mechanisms (5 papers), Cancer Genomics and Diagnostics (4 papers), RNA Research and Splicing (4 papers), Cancer-related Molecular Pathways (2 papers), Cancer-related gene regulation (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Obstetrics and Gynecology (28 citations), Urology (22 citations), Cancer Research (50 citations), Reproductive Medicine (23 citations) and Immunology (58 citations). Chie Kikutake has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mikita Suyama, Koji Yahara, Minako Yoshihara, Norio Kobayashi, Shun Shibata, Akira Oike, Tetsuya Sato, Takeshi Hori, Hirotaka Hamada and Daisuke Saito. Their work appears in journals such as Cell Death Discovery, Oncotarget, Scientific Reports, Annals of Surgery and Nature Communications.
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.