Akira Hakuba
- Surgery top 1%
- Epidemiology top 2%
- Neurology top 0.5%
- Public Health, Environmental and Occupational Health top 2%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Shüro NishimuraYuichi InoueShuro NishimuraHiroaki SakamotoMisao NishikawaNaruhiko NakanishiKiyoaki TanakaShushan Liu
- Topics
- Meningioma and schwannoma management (41 papers)Vascular Malformations Diagnosis and Treatment (22 papers)Cerebrospinal fluid and hydrocephalus (20 papers)
- Cited by
- NeurologyEpidemiologySurgery
- Journals
- SHILAP Revista de lepidopterologíaRadiologyJournal of neurosurgery
- Partner nations
- JapanUnited StatesSaudi Arabia
In The Last Decade
Akira Hakuba
120 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 91
- Surgery 1.8k
- Epidemiology 1.6k
- Neurology 1.5k
- Public Health, Environmental and Occupational Health 728
- Cellular and Molecular Neuroscience 656
Countries citing papers authored by Akira Hakuba
This map shows the geographic impact of Akira Hakuba'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 Akira Hakuba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Hakuba more than expected).
Fields of papers citing papers by Akira Hakuba
This network shows the impact of papers produced by Akira Hakuba. 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 Akira Hakuba. The network helps show where Akira Hakuba may publish in the future.
Co-authorship network of co-authors of Akira Hakuba
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Hakuba. A scholar is included among the top collaborators of Akira Hakuba based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akira Hakuba. Akira Hakuba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 37 | |
| 3 | 85 | |
| 4 | 1 | |
| 5 | 41 | |
| 6 | 441 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 51 | |
| 13 | 1 | |
| 14 | 47 | |
| 15 | 1 | |
| 16 | 12 | |
| 17 | 5 | |
| 18 | 196 | |
| 19 | 58 | |
| 20 | A-98. An Experimental Study of Vasospasm.Especially on Spasmogenic Factors in Red Blood Cells | 4 |
About Akira Hakuba
Akira Hakuba is a scholar working on Neurology, Genetics and Otorhinolaryngology, having authored 125 papers that have together received 3.5k indexed citations. Recurring topics across this work include Meningioma and schwannoma management (41 papers), Vascular Malformations Diagnosis and Treatment (22 papers) and Cerebrospinal fluid and hydrocephalus (20 papers). The work is most often cited by research in Neurology (1.5k citations), Epidemiology (1.6k citations) and Surgery (1.8k citations). Akira Hakuba has collaborated with scholars based in Japan, United States and Saudi Arabia. Frequent co-authors include Shüro Nishimura, Yuichi Inoue, Shuro Nishimura, Hiroaki Sakamoto, Misao Nishikawa, Naruhiko Nakanishi, Kiyoaki Tanaka, Shushan Liu, Kenji Ohata and Junsuke Katsuyama. Their work appears in journals such as SHILAP Revista de lepidopterología, Radiology and Journal of neurosurgery.
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.