Subash Kaul
- Epidemiology
- Neurology top 10%
- Cardiology and Cardiovascular Medicine
- Pulmonary and Respiratory Medicine
- Internal Medicine top 5%
- Co-authors
- AK MeenaXiaogang WangMohamed ShehataAnjana MunshiA. JyothyPanagiotis KorantzopoulosGuangping LiB. E. Kendall
- Topics
- Acute Ischemic Stroke Management (7 papers)Cerebral Venous Sinus Thrombosis (4 papers)Cerebrovascular and Carotid Artery Diseases (4 papers)
In The Last Decade
Subash Kaul
16 papers receiving 343 citations
Peers
Comparison fields: 5 of 65
- Epidemiology 128
- Neurology 94
- Cardiology and Cardiovascular Medicine 78
- Pulmonary and Respiratory Medicine 74
- Internal Medicine 64
Countries citing papers authored by Subash Kaul
This map shows the geographic impact of Subash Kaul'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 Subash Kaul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subash Kaul more than expected).
Fields of papers citing papers by Subash Kaul
This network shows the impact of papers produced by Subash Kaul. 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 Subash Kaul. The network helps show where Subash Kaul may publish in the future.
Co-authorship network of co-authors of Subash Kaul
This figure shows the co-authorship network connecting the top 25 collaborators of Subash Kaul. A scholar is included among the top collaborators of Subash Kaul 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 Subash Kaul. Subash Kaul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | Epidemiology of cerebral venous thrombosis in asian countries | 2 |
| 3 | 5 | |
| 4 | 21 | |
| 5 | 3 | |
| 6 | Exploring gender distribution in patients with acute stroke: A multi-national approach. | 11 |
| 7 | Association of serum uric acid level with ischemic stroke, stroke subtypes and clinical outcome | 9 |
| 8 | 18 | |
| 9 | 1 | |
| 10 | 60 | |
| 11 | 40 | |
| 12 | 35 | |
| 13 | 17 | |
| 14 | Cognitive rehabilitation in stroke : therapy and techniques. | 15 |
| 15 | Subtypes of ischemic stroke in a metropolitan city of South India (one year data from a hospital based stroke registry) | 48 |
| 16 | Carotid artery disease and ocular vascular disorders. | 5 |
| 17 | 23 |
About Subash Kaul
Subash Kaul is a scholar working on Internal Medicine, Rehabilitation and Neurology, having authored 17 papers that have together received 356 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (7 papers), Cerebral Venous Sinus Thrombosis (4 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). The work is most often cited by research in Internal Medicine (64 citations), Rehabilitation (49 citations) and Neurology (94 citations). Subash Kaul has collaborated with scholars based in India, China and Iran. Frequent co-authors include AK Meena, Xiaogang Wang, Mohamed Shehata, Anjana Munshi, A. Jyothy, Panagiotis Korantzopoulos, Guangping Li, B. E. Kendall, G. H. du Boulay and R W Russell. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, Gene and Heart.
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.