Maya Bhat
Impact in
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- Glioma Diagnosis and Treatment
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- Neuroblastoma Research and Treatments
- Cerebrovascular and genetic disorders
Papers in
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- Peroxisome Proliferator-Activated Receptors 3
- Mitochondrial Function and Pathology 3
- Neurology 11
- Co-authors
- Chandrajit Prasad (14 shared papers)M Netravathi (11 shared papers)Jitender Saini (8 shared papers)Rita Christopher (10 shared papers)Vykuntaraju K. Gowda (10 shared papers)Hima Pendharkar (2 shared papers)Karthik Kulanthaivelu (8 shared papers)Sadanandavalli Retnaswami Chandra (3 shared papers)
- Journals
- Journal of Neuroimaging (5 papers)Journal of Pediatric Genetics (5 papers)Multiple Sclerosis and Related Disorders (3 papers)European Radiology (2 papers)Brain and Development (2 papers)
- Partner nations
- IndiaNetherlandsSouth Africa
In The Last Decade
Maya Bhat
40 papers receiving 292 citations
Peers
Comparison fields: 5 of 65
- Genetics 69
- Neurology 93
- Virology 28
- Clinical Biochemistry 34
- Infectious Diseases 51
Countries citing papers authored by Maya Bhat
This map shows the geographic impact of Maya Bhat'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 Maya Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Bhat more than expected).
Fields of papers citing papers by Maya Bhat
This network shows the impact of papers produced by Maya Bhat. 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 Maya Bhat. The network helps show where Maya Bhat may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Bhat, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 35 | |
| 2 | 2015 | 22 | |
| 3 | 2021 | 19 | |
| 4 | 2022 | 18 | |
| 5 | 2017 | 16 | |
| 6 | 2019 | 14 | |
| 7 | 2015 | 13 | |
| 8 | 2021 | 13 | |
| 9 | 2014 | 12 | |
| 10 | 2018 | 9 | |
| 11 | 2017 | 8 | |
| 12 | 2016 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2019 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2020 | 5 |
About Maya Bhat
Maya Bhat is a scholar working on Molecular Biology, Neurology, Clinical Biochemistry, Epidemiology and Infectious Diseases, having authored 47 papers that have together received 294 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (10 papers), Meningioma and schwannoma management (4 papers), Infectious Encephalopathies and Encephalitis (4 papers), Advanced MRI Techniques and Applications (3 papers), Lysosomal Storage Disorders Research (3 papers), Antifungal resistance and susceptibility (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Genetics (69 citations), Neurology (93 citations), Virology (28 citations), Clinical Biochemistry (34 citations) and Infectious Diseases (51 citations). Maya Bhat has collaborated with scholars based in India, Netherlands and South Africa. Frequent co-authors include Chandrajit Prasad, M Netravathi, Jitender Saini, Rita Christopher, Vykuntaraju K. Gowda, Hima Pendharkar, Karthik Kulanthaivelu, Sadanandavalli Retnaswami Chandra, Paritosh Pandey and Dwarakanath Srinivas. Their work appears in journals such as Journal of Neuroimaging, Journal of Pediatric Genetics, Multiple Sclerosis and Related Disorders, European Radiology and Brain and Development.
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.