Deepak Behera
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
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- Neuropeptides and Animal Physiology
Papers in
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- Pain Mechanisms and Treatments 8
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- Pharmacological Receptor Mechanisms and Effects 3
- Ion channel regulation and function 2
- Ubiquitin and proteasome pathways 1
- Co-authors
- Sandip Biswal (13 shared papers)Jin Xie (2 shared papers)Frederick T. Chin (6 shared papers)Kai Chen (1 shared paper)Mark Michalski (1 shared paper)Sanjiv S. Gambhir (6 shared papers)Hengyi Xu (1 shared paper)Andrew Z. Wang (1 shared paper)
- Journals
- Journal of Nuclear Medicine (2 papers)EJNMMI Physics (1 paper)Journal of Neuroinflammation (1 paper)Molecular Imaging and Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesNorwayUnited Kingdom
In The Last Decade
Deepak Behera
16 papers receiving 461 citations
Peers
Comparison fields: 5 of 76
- Biomaterials 104
- Cellular and Molecular Neuroscience 70
- Physiology 85
- Radiology, Nuclear Medicine and Imaging 66
- Biomedical Engineering 100
Countries citing papers authored by Deepak Behera
This map shows the geographic impact of Deepak Behera'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 Deepak Behera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Behera more than expected).
Fields of papers citing papers by Deepak Behera
This network shows the impact of papers produced by Deepak Behera. 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 Deepak Behera. The network helps show where Deepak Behera may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Behera, 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 | 2009 | 128 | |
| 2 | 2017 | 43 | |
| 3 | 2013 | 43 | |
| 4 | 2011 | 39 | |
| 5 | 2013 | 34 | |
| 6 | 2013 | 28 | |
| 7 | 2017 | 26 | |
| 8 | 2012 | 23 | |
| 9 | 2018 | 22 | |
| 10 | 2015 | 16 | |
| 11 | 2011 | 15 | |
| 12 | Bilateral peripheral neural activity observed in vivo following unilateral nerve injury. | 2013 | 13 |
| 13 | 2022 | 12 | |
| 14 | 2015 | 11 | |
| 15 | 2013 | 6 | |
| 16 | 2010 | 5 | |
| 17 | 2025 | 0 |
About Deepak Behera
Deepak Behera is a scholar working on Physiology, Molecular Biology, Surgery, Cellular and Molecular Neuroscience and Oncology, having authored 17 papers that have together received 464 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (8 papers), Medical Imaging Techniques and Applications (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Ion channel regulation and function (2 papers), Spine and Intervertebral Disc Pathology (2 papers), Neuropeptides and Animal Physiology (2 papers), Nanoplatforms for cancer theranostics (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Biomaterials (104 citations), Cellular and Molecular Neuroscience (70 citations), Physiology (85 citations), Radiology, Nuclear Medicine and Imaging (66 citations) and Biomedical Engineering (100 citations). Deepak Behera has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Sandip Biswal, Jin Xie, Frederick T. Chin, Kai Chen, Mark Michalski, Sanjiv S. Gambhir, Hengyi Xu, Andrew Z. Wang, Kathleen Jacobs and Jarrett Rosenberg. Their work appears in journals such as Journal of Nuclear Medicine, EJNMMI Physics, Journal of Neuroinflammation, Molecular Imaging and Biology and PLoS ONE.
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.