Nirav Bhatt
Impact in
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- Acute Ischemic Stroke Management
- Liver Disease Diagnosis and Treatment
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- Venous Thromboembolism Diagnosis and Management
Papers in
- Epidemiology 27
- Acute Ischemic Stroke Management 26
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- Cerebrovascular and Carotid Artery Diseases 7
- Renal and Vascular Pathologies 3
- Co-authors
- Raul G. Nogueira (30 shared papers)Alhamza R Al‐Bayati (23 shared papers)Diogo C Haussen (21 shared papers)Michael Frankel (21 shared papers)Mahmoud Mohammaden (15 shared papers)Deepak Amarapurkar (3 shared papers)Bernardo Liberato (12 shared papers)Leonardo Pisani (10 shared papers)
- Journals
- Stroke (13 papers)Journal of NeuroInterventional Surgery (5 papers)Neurology (4 papers)Clinical Neurology and Neurosurgery (2 papers)Clinical Neurophysiology (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Nirav Bhatt
41 papers receiving 298 citations
Peers
Comparison fields: 5 of 54
- Epidemiology 164
- Internal Medicine 15
- Health Informatics 5
- Rehabilitation 22
- Hepatology 20
Countries citing papers authored by Nirav Bhatt
This map shows the geographic impact of Nirav Bhatt'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 Nirav Bhatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirav Bhatt more than expected).
Fields of papers citing papers by Nirav Bhatt
This network shows the impact of papers produced by Nirav Bhatt. 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 Nirav Bhatt. The network helps show where Nirav Bhatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Nirav Bhatt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 33 | |
| 2 | 2016 | 27 | |
| 3 | 2024 | 21 | |
| 4 | 2022 | 19 | |
| 5 | 2013 | 19 | |
| 6 | 2020 | 18 | |
| 7 | 2013 | 18 | |
| 8 | 2018 | 18 | |
| 9 | 2019 | 14 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2016 | 8 | |
| 14 | 2016 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2023 | 5 |
About Nirav Bhatt
Nirav Bhatt is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Neurology, Rehabilitation and Surgery, having authored 49 papers that have together received 304 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (26 papers), Cerebrovascular and Carotid Artery Diseases (7 papers), Stroke Rehabilitation and Recovery (6 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Cerebral Venous Sinus Thrombosis (4 papers), Renal and Vascular Pathologies (3 papers), Peripheral Artery Disease Management (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). The work is most often cited by research in Epidemiology (164 citations), Internal Medicine (15 citations), Health Informatics (5 citations), Rehabilitation (22 citations) and Hepatology (20 citations). Nirav Bhatt has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Raul G. Nogueira, Alhamza R Al‐Bayati, Diogo C Haussen, Michael Frankel, Mahmoud Mohammaden, Deepak Amarapurkar, Bernardo Liberato, Leonardo Pisani, Amer Malik and Mohamed Fahmy Doheim. Their work appears in journals such as Stroke, Journal of NeuroInterventional Surgery, Neurology, Clinical Neurology and Neurosurgery and Clinical Neurophysiology.
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.