Tania Kaprealian
- Radiation top 2%
- Advanced Radiotherapy Techniques 14
- Genetics top 5%
- Glioma Diagnosis and Treatment 28
- Neurology top 5%
- Neurofibromatosis and Schwannoma Cases 10
- Vascular Malformations Diagnosis and Treatment 9
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- Brain Metastases and Treatment 15
- Epidemiology top 10%
- Meningioma and schwannoma management 21
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- Advanced MRI Techniques and Applications 6
- Radiomics and Machine Learning in Medical Imaging 5
- Co-authors
- Stephen TennPercy LeeIsaac YangKe ShengNader PouratianMichael T. SelchRobert ChinVictoria Yu
- Journals
- International Journal of Radiation Oncology*Biology*Physics (17 papers)World Neurosurgery (8 papers)Journal of Neuro-Oncology (5 papers)
- Partner nations
- United StatesAustraliaMyanmar
In The Last Decade
Tania Kaprealian
68 papers receiving 933 citations
Peers
Comparison fields: 5 of 79
- Radiation 285
- Genetics 198
- Neurology 266
- Pulmonary and Respiratory Medicine 370
- Epidemiology 321
Countries citing papers authored by Tania Kaprealian
This map shows the geographic impact of Tania Kaprealian'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 Tania Kaprealian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tania Kaprealian more than expected).
Fields of papers citing papers by Tania Kaprealian
This network shows the impact of papers produced by Tania Kaprealian. 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 Tania Kaprealian. The network helps show where Tania Kaprealian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tania Kaprealian, 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 | 2023 | 0 | |
| 2 | 2022 | 17 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 16 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 3 | |
| 8 | 2020 | 10 | |
| 9 | 2019 | 5 | |
| 10 | 2019 | 9 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 3 | |
| 13 | 2019 | 9 | |
| 14 | 2018 | 39 | |
| 15 | 2018 | 48 | |
| 16 | 2016 | 14 | |
| 17 | 2016 | 12 | |
| 18 | 2016 | 14 | |
| 19 | 2016 | 16 | |
| 20 | 2015 | 1 |
About Tania Kaprealian
Tania Kaprealian is a scholar working on Genetics, Radiation, Neurology, Pulmonary and Respiratory Medicine and Neurology, having authored 71 papers that have together received 944 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (28 papers), Meningioma and schwannoma management (21 papers), Brain Metastases and Treatment (15 papers), Advanced Radiotherapy Techniques (14 papers), Neurofibromatosis and Schwannoma Cases (10 papers), Vascular Malformations Diagnosis and Treatment (9 papers), Advanced MRI Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Radiation (285 citations), Genetics (198 citations), Neurology (266 citations), Pulmonary and Respiratory Medicine (370 citations) and Epidemiology (321 citations). Tania Kaprealian has collaborated with scholars based in United States, Australia and Myanmar. Frequent co-authors include Stephen Tenn, Percy Lee, Isaac Yang, Ke Sheng, Nader Pouratian, Michael T. Selch, Robert Chin, Victoria Yu, Dan Nguyen and Alexander Gottschalk. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, World Neurosurgery, Journal of Neuro-Oncology, Advances in Radiation Oncology and Medical Physics.
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.