Akshay Kumar
- Emergency Medicine top 10%
- Emergency and Acute Care Studies 3
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- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 2
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 3
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- Mechanical Circulatory Support Devices 7
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- Transplantation: Methods and Outcomes 5
- Cardiac Structural Anomalies and Repair 3
- Organ Transplantation Techniques and Outcomes 3
- Co-authors
- Asim KichlooMichael AljadahMichael AlbostaFarah WaniJagmeet SinghSuresh KeshavamurthyJoshua J. WoodsPeter B. Stathopulos
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (2 papers)Journal of Clinical Medicine (2 papers)ACS Central Science (1 paper)
- Partner nations
- IndiaUnited StatesEgypt
In The Last Decade
Akshay Kumar
39 papers receiving 622 citations
Peers
Comparison fields: 5 of 120
- Emergency Medicine 68
- Infectious Diseases 97
- Obstetrics and Gynecology 38
- Neurology 66
- Modeling and Simulation 20
Countries citing papers authored by Akshay Kumar
This map shows the geographic impact of Akshay Kumar'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 Akshay Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshay Kumar more than expected).
Fields of papers citing papers by Akshay Kumar
This network shows the impact of papers produced by Akshay Kumar. 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 Akshay Kumar. The network helps show where Akshay Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akshay Kumar, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 43 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 59 | |
| 10 | 2020 | 1 | |
| 11 | 2020 | 16 | |
| 12 | 2020 | 2 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 54 | |
| 15 | 2019 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2019 | 0 | |
| 18 | Pattern and Distribution of Ocular Morbidity in Patients Visiting the Field Practice Area of Tertiary Care Hospital of North India. | 2013 | 6 |
| 19 | 2009 | 8 | |
| 20 | 2008 | 30 |
About Akshay Kumar
Akshay Kumar is a scholar working on Emergency Medicine, Modeling and Simulation, Transplantation, Fluid Flow and Transfer Processes and Infectious Diseases, having authored 45 papers that have together received 645 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (7 papers), COVID-19 Clinical Research Studies (5 papers), Transplantation: Methods and Outcomes (5 papers), Cardiac Structural Anomalies and Repair (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), COVID-19 epidemiological studies (3 papers), Emergency and Acute Care Studies (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Emergency Medicine (68 citations), Infectious Diseases (97 citations), Obstetrics and Gynecology (38 citations), Neurology (66 citations) and Modeling and Simulation (20 citations). Akshay Kumar has collaborated with scholars based in India, United States and Egypt. Frequent co-authors include Asim Kichloo, Michael Aljadah, Michael Albosta, Farah Wani, Jagmeet Singh, Suresh Keshavamurthy, Joshua J. Woods, Peter B. Stathopulos, Neeharika Nemani and R. Karthik. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Clinical Medicine, ACS Central Science, Journal of ExtraCorporeal Technology and Frontiers in Public Health.
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.