Vijay Dhawan
- Neurology top 0.05%
- Cellular and Molecular Neuroscience top 0.2%
- Cognitive Neuroscience top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Neurology top 0.5%
- Co-authors
- David EidelbergYilong MaJames R. MoellerPhoebe G. SpetsierisAndrew FeiginThomas ChalyChris C. TangAngelo Antonini
- Topics
- Neurological disorders and treatments (106 papers)Parkinson's Disease Mechanisms and Treatments (91 papers)Genetic Neurodegenerative Diseases (38 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Vijay Dhawan
216 papers receiving 11.8k citations
Peers
Comparison fields: 5 of 147
- Neurology 7.8k
- Cellular and Molecular Neuroscience 4.2k
- Cognitive Neuroscience 2.9k
- Radiology, Nuclear Medicine and Imaging 2.3k
- Neurology 1.2k
Countries citing papers authored by Vijay Dhawan
This map shows the geographic impact of Vijay Dhawan'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 Vijay Dhawan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay Dhawan more than expected).
Fields of papers citing papers by Vijay Dhawan
This network shows the impact of papers produced by Vijay Dhawan. 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 Vijay Dhawan. The network helps show where Vijay Dhawan may publish in the future.
Co-authorship network of co-authors of Vijay Dhawan
This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Dhawan. A scholar is included among the top collaborators of Vijay Dhawan 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 Vijay Dhawan. Vijay Dhawan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 13 | |
| 4 | 9 | |
| 5 | 13 | |
| 6 | 19 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 137 | |
| 11 | 86 | |
| 12 | 62 | |
| 13 | 192 | |
| 14 | 191 | |
| 15 | 117 | |
| 16 | 112 | |
| 17 | 164 | |
| 18 | 165 | |
| 19 | 134 | |
| 20 | Localization of Ga-67 in inflammations in the absence of circulating polymorphonuclear leukocytes. | 14 |
About Vijay Dhawan
Vijay Dhawan is a scholar working on Neurology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 220 papers that have together received 12.1k indexed citations. Recurring topics across this work include Neurological disorders and treatments (106 papers), Parkinson's Disease Mechanisms and Treatments (91 papers) and Genetic Neurodegenerative Diseases (38 papers). The work is most often cited by research in Neurology (7.8k citations), Cellular and Molecular Neuroscience (4.2k citations) and Cognitive Neuroscience (2.9k citations). Vijay Dhawan has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include David Eidelberg, Yilong Ma, James R. Moeller, Phoebe G. Spetsieris, Andrew Feigin, Thomas Chaly, Chris C. Tang, Angelo Antonini, Maren Carbon and Chengke Tang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.