Sunita Bava
- Cognitive Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pediatrics, Perinatology and Child Health top 2%
- Cellular and Molecular Neuroscience top 5%
- Epidemiology top 10%
- Co-authors
- Susan F. TapertJoanna JacobusLawrence R. FrankRachel E. ThayerBrian C. SchweinsburgTim McQueenyAlecia D. SchweinsburgOmar M. Mahmood
- Topics
- Advanced Neuroimaging Techniques and Applications (12 papers)Traumatic Brain Injury Research (6 papers)Functional Brain Connectivity Studies (5 papers)
- Partner nations
- United StatesFinlandIsrael
In The Last Decade
Sunita Bava
22 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 90
- Cognitive Neuroscience 929
- Radiology, Nuclear Medicine and Imaging 539
- Pediatrics, Perinatology and Child Health 510
- Cellular and Molecular Neuroscience 424
- Epidemiology 414
Countries citing papers authored by Sunita Bava
This map shows the geographic impact of Sunita Bava'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 Sunita Bava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunita Bava more than expected).
Fields of papers citing papers by Sunita Bava
This network shows the impact of papers produced by Sunita Bava. 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 Sunita Bava. The network helps show where Sunita Bava may publish in the future.
Co-authorship network of co-authors of Sunita Bava
This figure shows the co-authorship network connecting the top 25 collaborators of Sunita Bava. A scholar is included among the top collaborators of Sunita Bava 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 Sunita Bava. Sunita Bava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 89 | |
| 3 | 71 | |
| 4 | 56 | |
| 5 | 76 | |
| 6 | 46 | |
| 7 | 317 | |
| 8 | 169 | |
| 9 | 28 | |
| 10 | 142 | |
| 11 | 137 | |
| 12 | 216 | |
| 13 | 64 | |
| 14 | 150 | |
| 15 | 19 | |
| 16 | Reduced microstructural white matter integrity in a genetic metabolic disorder: A diffusion tensor MRI study | 1 |
| 17 | 159 | |
| 18 | 21 | |
| 19 | 5 | |
| 20 | 132 |
About Sunita Bava
Sunita Bava is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 22 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (12 papers), Traumatic Brain Injury Research (6 papers) and Functional Brain Connectivity Studies (5 papers). The work is most often cited by research in Cognitive Neuroscience (929 citations), Computational Mathematics (17 citations) and Pediatrics, Perinatology and Child Health (510 citations). Sunita Bava has collaborated with scholars based in United States, Finland and Israel. Frequent co-authors include Susan F. Tapert, Joanna Jacobus, Lawrence R. Frank, Rachel E. Thayer, Brian C. Schweinsburg, Tim McQueeny, Alecia D. Schweinsburg, Omar M. Mahmood, Tony T. Yang and Megan Ward. Their work appears in journals such as NeuroImage, Brain Research and Alcoholism Clinical and Experimental Research.
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.