Jay Gajera
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Blood Coagulation and Thrombosis Mechanisms
Papers in
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- Cerebrovascular and Carotid Artery Diseases 3
- Lung Cancer Diagnosis and Treatment 1
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- Radiology practices and education 3
- COVID-19 diagnosis using AI 1
- Co-authors
- Marwan El‐Koussy (1 shared paper)Maja Steinlin (1 shared paper)Mark T. Mackay (2 shared papers)Sandra Bigi (1 shared paper)Mária Regényi (1 shared paper)Roderick Clifton‐Bligh (1 shared paper)Ziba Gandomkar (1 shared paper)Matti L. Gild (1 shared paper)
- Journals
- Scientific Data (1 paper)Stroke (1 paper)Neurology (1 paper)Clinical Endocrinology (1 paper)Journal of Medical Imaging and Radiation Oncology (1 paper)
- Partner nations
- AustraliaSwitzerlandUnited States
In The Last Decade
Jay Gajera
9 papers receiving 102 citations
Peers
Comparison fields: 5 of 40
- Health Informatics 13
- Hematology 24
- Neurology 30
- Internal Medicine 7
- Endocrinology, Diabetes and Metabolism 23
Countries citing papers authored by Jay Gajera
This map shows the geographic impact of Jay Gajera'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 Jay Gajera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Gajera more than expected).
Fields of papers citing papers by Jay Gajera
This network shows the impact of papers produced by Jay Gajera. 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 Jay Gajera. The network helps show where Jay Gajera may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Gajera, 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 | 2017 | 47 | |
| 2 | 2021 | 25 | |
| 3 | 2021 | 10 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 2 | |
| 9 | 2017 | 1 |
About Jay Gajera
Jay Gajera is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Neurology, Surgery and Genetics, having authored 9 papers that have together received 104 indexed citations. Recurring topics across this work include Radiology practices and education (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers), COVID-19 diagnosis using AI (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Acute Ischemic Stroke Management (1 paper). The work is most often cited by research in Health Informatics (13 citations), Hematology (24 citations), Neurology (30 citations), Internal Medicine (7 citations) and Endocrinology, Diabetes and Metabolism (23 citations). Jay Gajera has collaborated with scholars based in Australia, Switzerland and United States. Frequent co-authors include Marwan El‐Koussy, Maja Steinlin, Mark T. Mackay, Sandra Bigi, Mária Regényi, Roderick Clifton‐Bligh, Ziba Gandomkar, Matti L. Gild, Brett Lurie and Christen Barras. Their work appears in journals such as Scientific Data, Stroke, Neurology, Clinical Endocrinology and Journal of Medical Imaging and Radiation Oncology.
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.