Akshay Save
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- Glioma Diagnosis and Treatment 5
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- Neurosurgical Procedures and Complications 2
- Intracranial Aneurysms: Treatment and Complications 2
- Vascular Malformations Diagnosis and Treatment 2
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- Meningioma and schwannoma management 4
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- Brain Metastases and Treatment 2
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- Radiomics and Machine Learning in Medical Imaging 1
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- Orthopaedic implants and arthroplasty 1
- Co-authors
- Guy M. McKhannBrett E. YoungermanSteven R. PatiernoMichael TarpleyGayathri R. DeviScott J. SauerKevin P. WilliamsH. Kim Lyerly
- Journals
- Neurosurgery (2 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Akshay Save
11 papers receiving 207 citations
Peers
Comparison fields: 5 of 70
- Health, Toxicology and Mutagenesis 47
- Genetics 33
- Psychiatry and Mental health 41
- Neurology 36
- Health Informatics 3
Countries citing papers authored by Akshay Save
This map shows the geographic impact of Akshay Save'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 Akshay Save with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshay Save more than expected).
Fields of papers citing papers by Akshay Save
This network shows the impact of papers produced by Akshay Save. 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 Akshay Save. The network helps show where Akshay Save may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akshay Save, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 30 | |
| 11 | 2019 | 53 | |
| 12 | 2019 | 11 | |
| 13 | 2018 | 22 | |
| 14 | 2017 | 64 |
About Akshay Save
Akshay Save is a scholar working on Genetics, Neurology, Geriatrics and Gerontology, Otorhinolaryngology and Statistics, Probability and Uncertainty, having authored 14 papers that have together received 208 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Meningioma and schwannoma management (4 papers), Brain Metastases and Treatment (2 papers), Neurosurgical Procedures and Complications (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers), Vascular Malformations Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Orthopaedic implants and arthroplasty (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (47 citations), Genetics (33 citations), Psychiatry and Mental health (41 citations), Neurology (36 citations) and Health Informatics (3 citations). Akshay Save has collaborated with scholars based in United States and South Korea. Frequent co-authors include Guy M. McKhann, Brett E. Youngerman, Steven R. Patierno, Michael Tarpley, Gayathri R. Devi, Scott J. Sauer, Kevin P. Williams, H. Kim Lyerly, Imran Shah and Jeffrey N. Bruce. Their work appears in journals such as Neurosurgery, International Journal of Radiation Oncology*Biology*Physics, npj Digital Medicine, Neurosurgical FOCUS and Operative 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.