Ayaka Koike
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- PARP inhibition in cancer therapy
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- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- CRISPR and Genetic Engineering
- RNA modifications and cancer
Papers in
-
- DNA Repair Mechanisms 4
- Ubiquitin and proteasome pathways 4
- Oncology 4
- Cancer-related Molecular Pathways 3
- Co-authors
- Wenwen Wu (8 shared papers)Tomohiko Ohta (8 shared papers)Hiroyuki Nishikawa (3 shared papers)Mamoru Fukuda (4 shared papers)Ashok R. Venkitaraman (2 shared papers)Takashi Takeshita (2 shared papers)Hirotaka Koizumi (3 shared papers)Hiromichi Gomi (1 shared paper)
- Journals
- Cancer Research (3 papers)ACS Nano (1 paper)Genes to Cells (1 paper)Cell Division (1 paper)Breast Cancer (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Ayaka Koike
12 papers receiving 607 citations
Peers
Comparison fields: 5 of 68
- Oncology 212
- Molecular Biology 449
- Cancer Research 74
- Genetics 109
- Ophthalmology 22
Countries citing papers authored by Ayaka Koike
This map shows the geographic impact of Ayaka Koike'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 Ayaka Koike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayaka Koike more than expected).
Fields of papers citing papers by Ayaka Koike
This network shows the impact of papers produced by Ayaka Koike. 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 Ayaka Koike. The network helps show where Ayaka Koike may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayaka Koike, 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 | 2008 | 166 | |
| 2 | 2010 | 121 | |
| 3 | 2008 | 103 | |
| 4 | 2010 | 92 | |
| 5 | 2010 | 74 | |
| 6 | 2007 | 20 | |
| 7 | 2009 | 18 | |
| 8 | 2019 | 11 | |
| 9 | 2009 | 8 | |
| 10 | 2022 | 4 | |
| 11 | [A randomized controlled trial comparing short-term MF chemotherapy with MF and long-term carmofur chemotherapy as an adjuvant to curative resection of stomach cancer]. | 1986 | 1 |
| 12 | [Effects of selective administration of anticancer agents in massive dosage combined with fibrolytic enzyme (urokinase) in hepatic cancer]. | 1972 | 1 |
About Ayaka Koike
Ayaka Koike is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 619 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (3 papers), BRCA gene mutations in cancer (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Oncology (212 citations), Molecular Biology (449 citations), Cancer Research (74 citations), Genetics (109 citations) and Ophthalmology (22 citations). Ayaka Koike has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Wenwen Wu, Tomohiko Ohta, Hiroyuki Nishikawa, Mamoru Fukuda, Ashok R. Venkitaraman, Takashi Takeshita, Hirotaka Koizumi, Hiromichi Gomi, Ko Sato and Yukinori Okada. Their work appears in journals such as Cancer Research, ACS Nano, Genes to Cells, Cell Division and Breast Cancer.
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.