Shekar N. Kurpad
- Developmental Neuroscience top 1%
- Pathology and Forensic Medicine top 0.5%
- Spinal Cord Injury Research 42
- Spine and Intervertebral Disc Pathology 25
- Genetics top 2%
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- Advanced Neuroimaging Techniques and Applications 40
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- Spinal Dysraphism and Malformations 34
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- Cervical and Thoracic Myelopathy 29
- Spinal Fractures and Fixation Techniques 22
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- Traumatic Brain Injury Research 11
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- Traumatic Brain Injury and Neurovascular Disturbances 10
- Co-authors
- Brian D. SchmitBenjamin M. EllingsonMatthew D. BuddeCarol J. WikstrandJohn L. UlmerArshak R. AlexanianRoger E. McLendonSurinder K. Batra
- Journals
- Journal of Neurotrauma (18 papers)Global Spine Journal (12 papers)World Neurosurgery (8 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Shekar N. Kurpad
123 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Developmental Neuroscience 451
- Pathology and Forensic Medicine 1.5k
- Genetics 578
- Radiology, Nuclear Medicine and Imaging 988
- Cellular and Molecular Neuroscience 711
Countries citing papers authored by Shekar N. Kurpad
This map shows the geographic impact of Shekar N. Kurpad'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 Shekar N. Kurpad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shekar N. Kurpad more than expected).
Fields of papers citing papers by Shekar N. Kurpad
This network shows the impact of papers produced by Shekar N. Kurpad. 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 Shekar N. Kurpad. The network helps show where Shekar N. Kurpad may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shekar N. Kurpad, 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 | 2026 | 0 | |
| 2 | 2026 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 23 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 7 | |
| 12 | 2020 | 3 | |
| 13 | 2019 | 15 | |
| 14 | 2019 | 29 | |
| 15 | 2019 | 23 | |
| 16 | 2017 | 4 | |
| 17 | 2016 | 10 | |
| 18 | 2014 | 10 | |
| 19 | 2011 | 11 | |
| 20 | 1999 | 1 |
About Shekar N. Kurpad
Shekar N. Kurpad is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Developmental Neuroscience, having authored 131 papers that have together received 3.6k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (42 papers), Advanced Neuroimaging Techniques and Applications (40 papers), Spinal Dysraphism and Malformations (34 papers), Cervical and Thoracic Myelopathy (29 papers), Spine and Intervertebral Disc Pathology (25 papers), Spinal Fractures and Fixation Techniques (22 papers), Traumatic Brain Injury Research (11 papers) and Traumatic Brain Injury and Neurovascular Disturbances (10 papers). The work is most often cited by research in Developmental Neuroscience (451 citations), Pathology and Forensic Medicine (1.5k citations) and Genetics (578 citations). Shekar N. Kurpad has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Brian D. Schmit, Benjamin M. Ellingson, Matthew D. Budde, Carol J. Wikstrand, John L. Ulmer, Arshak R. Alexanian, Roger E. McLendon, Surinder K. Batra, Petra Schweinhardt and Jonas Frisén. Their work appears in journals such as Journal of Neurotrauma, Global Spine Journal, World Neurosurgery, Neurosurgery and Magnetic Resonance in Medicine.
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.