Ami Maruyama
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
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- Cancer Mechanisms and Therapy
Papers in
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- Metabolomics and Mass Spectrometry Studies 2
- PI3K/AKT/mTOR signaling in cancer 2
- Molecular Biology Techniques and Applications 2
- Epigenetics and DNA Methylation 1
- Oncology 2
- Lung Cancer Research Studies 2
- Co-authors
- Hideki Makinoshima (8 shared papers)Tomoyasu Kato (1 shared paper)Reiko Watanabe (1 shared paper)Aikou Okamoto (1 shared paper)Hideaki Ogiwara (1 shared paper)Hiroki Sasaki (1 shared paper)Takashi Kohno (1 shared paper)Kazuaki Takahashi (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Biochemical and Biophysical Research Communications (1 paper)Frontiers in Pharmacology (1 paper)Cancer Research (1 paper)Journal of Natural Medicines (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Ami Maruyama
8 papers receiving 305 citations
Peers
Comparison fields: 5 of 51
- Cancer Research 71
- Pathology and Forensic Medicine 58
- Molecular Biology 217
- Biochemistry 19
- Reproductive Medicine 17
Countries citing papers authored by Ami Maruyama
This map shows the geographic impact of Ami Maruyama'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 Ami Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ami Maruyama more than expected).
Fields of papers citing papers by Ami Maruyama
This network shows the impact of papers produced by Ami Maruyama. 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 Ami Maruyama. The network helps show where Ami Maruyama may publish in the future.
Co-authors
The 25 scholars most cited alongside Ami Maruyama, 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 | 2019 | 219 | |
| 2 | 2018 | 34 | |
| 3 | 2020 | 22 | |
| 4 | 2018 | 11 | |
| 5 | 2022 | 7 | |
| 6 | 2019 | 7 | |
| 7 | 2021 | 5 | |
| 8 | 2019 | 3 |
About Ami Maruyama
Ami Maruyama is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Surgery and Pharmacology, having authored 8 papers that have together received 308 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Molecular Biology Techniques and Applications (2 papers), Cancer Mechanisms and Therapy (1 paper), Epigenetics and DNA Methylation (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Cancer Research (71 citations), Pathology and Forensic Medicine (58 citations), Molecular Biology (217 citations), Biochemistry (19 citations) and Reproductive Medicine (17 citations). Ami Maruyama has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hideki Makinoshima, Tomoyasu Kato, Reiko Watanabe, Aikou Okamoto, Hideaki Ogiwara, Hiroki Sasaki, Takashi Kohno, Kazuaki Takahashi, Takafumi Kuroda and Fumiko Chiwaki. Their work appears in journals such as Journal of Visualized Experiments, Biochemical and Biophysical Research Communications, Frontiers in Pharmacology, Cancer Research and Journal of Natural Medicines.
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.