Deepika Appana
Impact in
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- Electronic Health Records Systems
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- Medication Adherence and Compliance
Papers in
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- Electronic Health Records Systems 3
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- Biomedical Text Mining and Ontologies 1
- Co-authors
- Patrick J. O’Connor (14 shared papers)Heidi L. Ekstrom (10 shared papers)JoAnn M. Sperl‐Hillen (10 shared papers)Gerald Amundson (3 shared papers)Elyse O. Kharbanda (3 shared papers)Alan R. Sinaiko (3 shared papers)Nancy E. Sherwood (2 shared papers)Patricia Fontaine (2 shared papers)
- Journals
- Contemporary Clinical Trials (3 papers)Diabetes (2 papers)Healthcare (1 paper)Journal of the American Medical Informatics Association (1 paper)Journal of Diabetes Science and Technology (1 paper)
- Partner nations
- United StatesEgyptUnited Kingdom
In The Last Decade
Deepika Appana
13 papers receiving 187 citations
Peers
Comparison fields: 5 of 40
- Health Information Management 34
- Family Practice 10
- Health Informatics 3
- Endocrinology, Diabetes and Metabolism 16
- Cardiology and Cardiovascular Medicine 20
Countries citing papers authored by Deepika Appana
This map shows the geographic impact of Deepika Appana'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 Appana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Appana more than expected).
Fields of papers citing papers by Deepika Appana
This network shows the impact of papers produced by Deepika Appana. 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 Appana. The network helps show where Deepika Appana may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepika Appana, 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 | 2018 | 49 | |
| 2 | 2018 | 47 | |
| 3 | 2014 | 24 | |
| 4 | 2022 | 19 | |
| 5 | 2015 | 17 | |
| 6 | 2013 | 15 | |
| 7 | 2020 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2015 | 5 | |
| 11 | Challenges Encountered in Linking Community Health Centers' EHR Data to a Web-based Clinical Decision Support Tool. | 2018 | 1 |
| 12 | 2021 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2020 | 0 |
About Deepika Appana
Deepika Appana is a scholar working on Health Information Management, Molecular Biology, Nephrology, General Health Professions and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 195 indexed citations. Recurring topics across this work include Electronic Health Records Systems (3 papers), Simulation-Based Education in Healthcare (1 paper), Healthcare Systems and Technology (1 paper), Biomedical Text Mining and Ontologies (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Healthcare Systems and Practices (1 paper), Diabetes Management and Education (1 paper) and Medication Adherence and Compliance (1 paper). The work is most often cited by research in Health Information Management (34 citations), Family Practice (10 citations), Health Informatics (3 citations), Endocrinology, Diabetes and Metabolism (16 citations) and Cardiology and Cardiovascular Medicine (20 citations). Deepika Appana has collaborated with scholars based in United States, Egypt and United Kingdom. Frequent co-authors include Patrick J. O’Connor, Heidi L. Ekstrom, JoAnn M. Sperl‐Hillen, Gerald Amundson, Elyse O. Kharbanda, Alan R. Sinaiko, Nancy E. Sherwood, Patricia Fontaine, Jay Desai and A. Lauren Crain. Their work appears in journals such as Contemporary Clinical Trials, Diabetes, Healthcare, Journal of the American Medical Informatics Association and Journal of Diabetes Science and Technology.
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.