Manish K. Aghi
- Genetics top 0.05%
- Glioma Diagnosis and Treatment 128
- Virus-based gene therapy research 29
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- Pituitary Gland Disorders and Treatments 82
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism 21
- Epidemiology top 0.5%
- Meningioma and schwannoma management 77
- Neurology top 0.5%
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- Adrenal and Paraganglionic Tumors 33
- Head and Neck Surgical Oncology 29
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- Brain Metastases and Treatment 25
- Co-authors
- Arman JahangiriRobert L. MartuzaMitchel S. BergerMichael DeLayYulong HuW. Shawn CarbonellLewis S. BlevinsSandeep Kunwar
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Advanced Materials (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Manish K. Aghi
306 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Genetics 4.1k
- Endocrinology, Diabetes and Metabolism 2.1k
- Cancer Research 1.7k
- Epidemiology 3.2k
- Neurology 1.4k
Countries citing papers authored by Manish K. Aghi
This map shows the geographic impact of Manish K. Aghi'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 Manish K. Aghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish K. Aghi more than expected).
Fields of papers citing papers by Manish K. Aghi
This network shows the impact of papers produced by Manish K. Aghi. 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 Manish K. Aghi. The network helps show where Manish K. Aghi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manish K. Aghi, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 13 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 2 | |
| 8 | 2021 | 15 | |
| 9 | 2020 | 43 | |
| 10 | 2020 | 32 | |
| 11 | 2020 | 42 | |
| 12 | 2019 | 26 | |
| 13 | 2019 | 194 | |
| 14 | 2018 | 105 | |
| 15 | 2013 | 161 | |
| 16 | 2013 | 139 | |
| 17 | 2012 | 387 | |
| 18 | 2012 | 95 | |
| 19 | 2011 | 33 | |
| 20 | 2009 | 279 |
About Manish K. Aghi
Manish K. Aghi is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Neurology, having authored 317 papers that have together received 12.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (128 papers), Pituitary Gland Disorders and Treatments (82 papers), Meningioma and schwannoma management (77 papers), Adrenal and Paraganglionic Tumors (33 papers), Head and Neck Surgical Oncology (29 papers), Virus-based gene therapy research (29 papers), Brain Metastases and Treatment (25 papers) and Cancer, Hypoxia, and Metabolism (21 papers). The work is most often cited by research in Genetics (4.1k citations), Endocrinology, Diabetes and Metabolism (2.1k citations) and Cancer Research (1.7k citations). Manish K. Aghi has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Arman Jahangiri, Robert L. Martuza, Mitchel S. Berger, Michael DeLay, Yulong Hu, W. Shawn Carbonell, Lewis S. Blevins, Sandeep Kunwar, Seunggu J. Han and Michael W. McDermott. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Clinical Investigation.
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.