Mina Aikawa
Impact in
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- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Melanoma and MAPK Pathways
- Kruppel-like factors research
- Cell death mechanisms and regulation
Papers in
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- Melanoma and MAPK Pathways 4
- Cancer-related gene regulation 3
- Kruppel-like factors research 3
- Wnt/β-catenin signaling in development and cancer 3
- Cell death mechanisms and regulation 1
- Protein Tyrosine Phosphatases 1
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- Synthesis of Tetrazole Derivatives 2
- Co-authors
- Jackie Papkoff (3 shared papers)Wayne Szeto (2 shared papers)Meredith Wright (1 shared paper)Patrìcia A. D'Amore (1 shared paper)Payman Amiri (4 shared papers)Savithri Ramurthy (3 shared papers)Abran Costales (3 shared papers)Sharadha Subramanian (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (2 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Cell Science (1 paper)Oncogene (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Mina Aikawa
8 papers receiving 488 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 430
- Oncology 79
- Hepatology 21
- Organic Chemistry 74
- Computational Theory and Mathematics 33
Countries citing papers authored by Mina Aikawa
This map shows the geographic impact of Mina Aikawa'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 Mina Aikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mina Aikawa more than expected).
Fields of papers citing papers by Mina Aikawa
This network shows the impact of papers produced by Mina Aikawa. 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 Mina Aikawa. The network helps show where Mina Aikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Mina Aikawa, 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 | 1998 | 159 | |
| 2 | 1999 | 103 | |
| 3 | 1999 | 74 | |
| 4 | 2008 | 72 | |
| 5 | 2002 | 45 | |
| 6 | CHIR-265 is a potent selective inhibitor of c-Raf/B-Raf/mutB-Raf that effectively inhibits proliferation and survival of cancer cell lines with Ras/Raf pathway mutations | 2006 | 18 |
| 7 | 2011 | 17 | |
| 8 | 2016 | 15 |
About Mina Aikawa
Mina Aikawa is a scholar working on Molecular Biology, Organic Chemistry, Pathology and Forensic Medicine, Oncology and Biotechnology, having authored 8 papers that have together received 503 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Cancer-related gene regulation (3 papers), Kruppel-like factors research (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Synthesis of Tetrazole Derivatives (2 papers), Cancer Mechanisms and Therapy (2 papers), Cell death mechanisms and regulation (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Molecular Biology (430 citations), Oncology (79 citations), Hepatology (21 citations), Organic Chemistry (74 citations) and Computational Theory and Mathematics (33 citations). Mina Aikawa has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Jackie Papkoff, Wayne Szeto, Meredith Wright, Patrìcia A. D'Amore, Payman Amiri, Savithri Ramurthy, Abran Costales, Sharadha Subramanian, Judith A. Fox and Hong Xiang. Their work appears in journals such as Journal of Medicinal Chemistry, Biochemical and Biophysical Research Communications, Journal of Cell Science, Oncogene and Cancer Research.
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.