Nirja Kaka
Impact in
- Health Informatics top 10%
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- Diabetes Management and Research
Papers in
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- Cardiovascular Function and Risk Factors 3
- Cardiomyopathy and Myosin Studies 2
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- COVID-19 Clinical Research Studies 3
- Co-authors
- Neil Patel (22 shared papers)Yashendra Sethi (25 shared papers)Hitesh Chopra (12 shared papers)Simona Cavalu (3 shared papers)Mihaela Simona Popoviciu (2 shared papers)Ashish Goel (3 shared papers)Talha Bin Emran (6 shared papers)Nigel H. Greig (2 shared papers)
- Journals
- Journal of Clinical Medicine (4 papers)Frontiers in Cardiovascular Medicine (1 paper)Current Problems in Cardiology (1 paper)Diabetes & Metabolic Syndrome Clinical Research & Reviews (1 paper)International Journal of Surgery (1 paper)
- Partner nations
- IndiaUnited StatesBangladesh
In The Last Decade
Nirja Kaka
22 papers receiving 329 citations
Peers
Comparison fields: 5 of 89
- Health Informatics 11
- Endocrinology, Diabetes and Metabolism 44
- Gastroenterology 10
- Epidemiology 57
- Neurology 25
Countries citing papers authored by Nirja Kaka
This map shows the geographic impact of Nirja Kaka'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 Nirja Kaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirja Kaka more than expected).
Fields of papers citing papers by Nirja Kaka
This network shows the impact of papers produced by Nirja Kaka. 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 Nirja Kaka. The network helps show where Nirja Kaka may publish in the future.
Co-authors
The 25 scholars most cited alongside Nirja Kaka, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 77 | |
| 2 | 2023 | 59 | |
| 3 | 2023 | 39 | |
| 4 | 2022 | 24 | |
| 5 | 2023 | 24 | |
| 6 | 2022 | 16 | |
| 7 | 2021 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2023 | 14 | |
| 10 | 2022 | 12 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 2 |
About Nirja Kaka
Nirja Kaka is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Epidemiology, Pathology and Forensic Medicine and Molecular Biology, having authored 26 papers that have together received 341 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (3 papers), COVID-19 Clinical Research Studies (3 papers), COVID-19 epidemiological studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Migraine and Headache Studies (2 papers), Pain Mechanisms and Treatments (2 papers), Trigeminal Neuralgia and Treatments (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). The work is most often cited by research in Health Informatics (11 citations), Endocrinology, Diabetes and Metabolism (44 citations), Gastroenterology (10 citations), Epidemiology (57 citations) and Neurology (25 citations). Nirja Kaka has collaborated with scholars based in India, United States and Bangladesh. Frequent co-authors include Neil Patel, Yashendra Sethi, Hitesh Chopra, Simona Cavalu, Mihaela Simona Popoviciu, Ashish Goel, Talha Bin Emran, Nigel H. Greig, Amogh Verma and Mohammad Amjad Kamal. Their work appears in journals such as Journal of Clinical Medicine, Frontiers in Cardiovascular Medicine, Current Problems in Cardiology, Diabetes & Metabolic Syndrome Clinical Research & Reviews and International Journal of Surgery.
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.