Koki Aihara
Impact in
- Genetics top 1%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
- Genetics 7
- Glioma Diagnosis and Treatment 7
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- Cancer Genomics and Diagnostics 3
- MicroRNA in disease regulation 1
- Co-authors
- Akitake Mukasa (3 shared papers)Shunsaku Takayanagi (2 shared papers)Hiroyuki Aburatani (3 shared papers)Nobuhito Saito (3 shared papers)Kengo Gotoh (1 shared paper)Genta Nagae (2 shared papers)Kuniaki Saito (2 shared papers)Shogo Yamamoto (2 shared papers)
- Journals
- Neuro-Oncology (4 papers)Science (1 paper)Acta Neuropathologica (1 paper)Acta Neuropathologica Communications (1 paper)Scientific Reports (1 paper)
- Partner nations
- JapanUnited StatesHong Kong
In The Last Decade
Koki Aihara
10 papers receiving 1.5k citations
Koki Aihara's Hit Papers
Peers
Comparison fields: 5 of 66
- Genetics 999
- Cancer Research 575
- Oncology 277
- Neurology 137
- Modeling and Simulation 42
Countries citing papers authored by Koki Aihara
This map shows the geographic impact of Koki Aihara'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 Koki Aihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koki Aihara more than expected).
Fields of papers citing papers by Koki Aihara
This network shows the impact of papers produced by Koki Aihara. 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 Koki Aihara. The network helps show where Koki Aihara may publish in the future.
Co-authors
The 20 scholars most cited alongside Koki Aihara, 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 | Mutational Analysis Reveals the Origin and Therapy-Driven Evolution of Recurrent Glioma Hit paper breakdown → | 2013 | 1111 |
| 2 | 2013 | 152 | |
| 3 | 2015 | 141 | |
| 4 | 2016 | 58 | |
| 5 | 2017 | 42 | |
| 6 | 2019 | 36 | |
| 7 | A clinicopathological study of malignant glioma done after local administration of chemotherapeutic agents. | 1996 | 7 |
| 8 | 2014 | 4 | |
| 9 | 2012 | 1 | |
| 10 | 2013 | 1 |
About Koki Aihara
Koki Aihara is a scholar working on Genetics, Cancer Research, Neurology, Molecular Biology and Biomaterials, having authored 10 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Cancer Genomics and Diagnostics (3 papers), Epigenetics and DNA Methylation (3 papers), Neurofibromatosis and Schwannoma Cases (2 papers), MicroRNA in disease regulation (1 paper), Nanoparticle-Based Drug Delivery (1 paper), Chromatin Remodeling and Cancer (1 paper) and Brain Metastases and Treatment (1 paper). The work is most often cited by research in Genetics (999 citations), Cancer Research (575 citations), Oncology (277 citations), Neurology (137 citations) and Modeling and Simulation (42 citations). Koki Aihara has collaborated with scholars based in Japan, United States and Hong Kong. Frequent co-authors include Akitake Mukasa, Shunsaku Takayanagi, Hiroyuki Aburatani, Nobuhito Saito, Kengo Gotoh, Genta Nagae, Kuniaki Saito, Shogo Yamamoto, Shingo Tsuji and Yoshitaka Narita. Their work appears in journals such as Neuro-Oncology, Science, Acta Neuropathologica, Acta Neuropathologica Communications and Scientific Reports.
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.