Akitake Mukasa
Impact in
- Genetics top 0.2%
- Glioma Diagnosis and Treatment
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
- Co-authors
- Frank B. Furnari (7 shared papers)Webster K. Cavenee (7 shared papers)Ronald A. DePinho (2 shared papers)Robert Bachoo (2 shared papers)Cameron Brennan (2 shared papers)Lynda Chin (4 shared papers)Keith L. Ligon (2 shared papers)Alexander H. Stegh (1 shared paper)
- Journals
- Neuro-Oncology (16 papers)World Neurosurgery (10 papers)Neurologia medico-chirurgica (8 papers)Cancer Science (8 papers)Neuroradiology (5 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Akitake Mukasa
162 papers receiving 5.1k citations
Akitake Mukasa's Hit Papers
Peers
Comparison fields: 5 of 126
- Genetics 1.9k
- Cancer Research 1.4k
- Neurology 709
- Molecular Biology 2.3k
- Oncology 883
Countries citing papers authored by Akitake Mukasa
This map shows the geographic impact of Akitake Mukasa'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 Akitake Mukasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akitake Mukasa more than expected).
Fields of papers citing papers by Akitake Mukasa
This network shows the impact of papers produced by Akitake Mukasa. 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 Akitake Mukasa. The network helps show where Akitake Mukasa may publish in the future.
Co-authors
The 25 scholars most cited alongside Akitake Mukasa, 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 179 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Malignant astrocytic glioma: genetics, biology, and paths to treatment Hit paper breakdown → | 2007 | 1804 |
| 2 | 2010 | 394 | |
| 3 | 2007 | 302 | |
| 4 | 2013 | 138 | |
| 5 | Correlation of histology and molecular genetic analysis of 1p, 19q, 10q, TP53, EGFR, CDK4, and CDKN2A in 91 astrocytic and oligodendroglial tumors. | 2002 | 122 |
| 6 | 2013 | 117 | |
| 7 | 2014 | 108 | |
| 8 | 2012 | 107 | |
| 9 | 2004 | 94 | |
| 10 | 2018 | 91 | |
| 11 | 2011 | 76 | |
| 12 | 2002 | 66 | |
| 13 | 2011 | 64 | |
| 14 | 2016 | 61 | |
| 15 | 2010 | 60 | |
| 16 | 2014 | 55 | |
| 17 | 2016 | 55 | |
| 18 | 2004 | 53 | |
| 19 | 2019 | 48 | |
| 20 | 2018 | 41 |
About Akitake Mukasa
Akitake Mukasa is a scholar working on Genetics, Neurology, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 179 papers that have together received 5.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (72 papers), Intracranial Aneurysms: Treatment and Complications (24 papers), Meningioma and schwannoma management (20 papers), Brain Metastases and Treatment (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Vascular Malformations Diagnosis and Treatment (11 papers), Cancer, Hypoxia, and Metabolism (10 papers) and RNA modifications and cancer (9 papers). The work is most often cited by research in Genetics (1.9k citations), Cancer Research (1.4k citations), Neurology (709 citations), Molecular Biology (2.3k citations) and Oncology (883 citations). Akitake Mukasa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Frank B. Furnari, Webster K. Cavenee, Ronald A. DePinho, Robert Bachoo, Cameron Brennan, Lynda Chin, Keith L. Ligon, Alexander H. Stegh, David N. Louis and Jayne M. Stommel. Their work appears in journals such as Neuro-Oncology, World Neurosurgery, Neurologia medico-chirurgica, Cancer Science and Neuroradiology.
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.