Vijay Sawlani
- Neurology top 5%
- Vascular Malformations Diagnosis and Treatment 8
- Intracranial Aneurysms: Treatment and Complications 7
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 6
- Memory and Neural Mechanisms 6
- Genetics top 5%
- Glioma Diagnosis and Treatment 14
- Neurology top 10%
- Vascular Malformations Diagnosis and Treatment 8
- Intracranial Aneurysms: Treatment and Complications 7
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- Traumatic Brain Injury Research 6
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- Cerebrovascular and Carotid Artery Diseases 6
- Brain Metastases and Treatment 5
- Co-authors
- Ramesh ChelvarajahRakesh K. GuptaJohannes ThomeDavid E.J. LindenMoses O. SokunbiSabine ChoppinRajendra V. PhadkePaul Sanghera
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Vijay Sawlani
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 121
- Neurology 324
- Cognitive Neuroscience 402
- Genetics 185
- Neurology 131
- Radiology, Nuclear Medicine and Imaging 271
Countries citing papers authored by Vijay Sawlani
This map shows the geographic impact of Vijay Sawlani'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 Sawlani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay Sawlani more than expected).
Fields of papers citing papers by Vijay Sawlani
This network shows the impact of papers produced by Vijay Sawlani. 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 Sawlani. The network helps show where Vijay Sawlani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vijay Sawlani, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 27 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 44 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 29 | |
| 11 | 2019 | 95 | |
| 12 | 2019 | 3 | |
| 13 | 2019 | 5 | |
| 14 | 2018 | 37 | |
| 15 | 2018 | 78 | |
| 16 | 2013 | 8 | |
| 17 | 2006 | 0 | |
| 18 | 2004 | 2 | |
| 19 | Images : Gas in the spinal canal as sign of prolapsed intervertebral disc (PID) on plain CT | 2003 | 4 |
| 20 | Biliary ascariasis associated with periampullary carcinoma. | 1995 | 2 |
About Vijay Sawlani
Vijay Sawlani is a scholar working on Neurology, Genetics and Cognitive Neuroscience, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (14 papers), Vascular Malformations Diagnosis and Treatment (8 papers), Intracranial Aneurysms: Treatment and Complications (7 papers), Traumatic Brain Injury Research (6 papers), Neural dynamics and brain function (6 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Memory and Neural Mechanisms (6 papers) and Brain Metastases and Treatment (5 papers). The work is most often cited by research in Neurology (324 citations), Cognitive Neuroscience (402 citations) and Genetics (185 citations). Vijay Sawlani has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Ramesh Chelvarajah, Rakesh K. Gupta, Johannes Thome, David E.J. Linden, Moses O. Sokunbi, Sabine Choppin, Rajendra V. Phadke, Paul Sanghera, R. B. Gujral and Markand Patel. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.