Deepika Gopukumar
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Lung Cancer Diagnosis and Treatment 1
- Prostate Cancer Treatment and Research 1
- Lung Cancer Treatments and Mutations 1
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- Artificial Intelligence in Healthcare 2
- Co-authors
- Min Wu (1 shared paper)Yiqing Zhao (1 shared paper)Jake Luo (1 shared paper)Huimin Zhao (1 shared paper)Mayank R. Patel (2 shared papers)Nikki E. Rossetti (2 shared papers)Martin W. Schoen (2 shared papers)Daniel B. Eaton (2 shared papers)
- Journals
- Anticancer Research (1 paper)Journal of Thoracic Disease (2 papers)Informatics in Medicine Unlocked (1 paper)JMIR Medical Informatics (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Deepika Gopukumar
5 papers receiving 307 citations
Deepika Gopukumar's Hit Papers
Peers
Comparison fields: 5 of 103
- Health Informatics 30
- Health Information Management 85
- Information Systems and Management 27
- Medical Laboratory Technology 6
- Management Information Systems 31
Countries citing papers authored by Deepika Gopukumar
This map shows the geographic impact of Deepika Gopukumar'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 Deepika Gopukumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Gopukumar more than expected).
Fields of papers citing papers by Deepika Gopukumar
This network shows the impact of papers produced by Deepika Gopukumar. 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 Deepika Gopukumar. The network helps show where Deepika Gopukumar may publish in the future.
Co-authors
The 21 scholars most cited alongside Deepika Gopukumar, 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 | Big Data Application in Biomedical Research and Health Care: A Literature Review Hit paper breakdown → | 2016 | 299 |
| 2 | 2022 | 10 | |
| 3 | 2023 | 5 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 0 |
About Deepika Gopukumar
Deepika Gopukumar is a scholar working on Pulmonary and Respiratory Medicine, Health Information Management, Oncology, Cardiology and Cardiovascular Medicine and Rehabilitation, having authored 6 papers that have together received 318 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (2 papers), Stroke Rehabilitation and Recovery (1 paper), Cancer Treatment and Pharmacology (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Bone health and treatments (1 paper), Prostate Cancer Treatment and Research (1 paper), Heart Failure Treatment and Management (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Health Informatics (30 citations), Health Information Management (85 citations), Information Systems and Management (27 citations), Medical Laboratory Technology (6 citations) and Management Information Systems (31 citations). Deepika Gopukumar has collaborated with scholars based in United States. Frequent co-authors include Min Wu, Yiqing Zhao, Jake Luo, Huimin Zhao, Mayank R. Patel, Nikki E. Rossetti, Martin W. Schoen, Daniel B. Eaton, Benjamin D. Kozower and Brendan T. Heiden. Their work appears in journals such as Anticancer Research, Journal of Thoracic Disease, Informatics in Medicine Unlocked, JMIR Medical Informatics and PubMed.
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.