Devi Sundaresan
Impact in
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- Electronic Health Records Systems
Papers in
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- Electronic Health Records Systems 5
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- Healthcare Systems and Technology 3
- Co-authors
- Lawrence Garber (13 shared papers)Kathleen M. Mazor (6 shared papers)Sarah LeLeiko Cutrona (6 shared papers)Peggy Preusse (6 shared papers)Lloyd D. Fisher (4 shared papers)Robert A. Yood (2 shared papers)Jessica A. Ogarek (2 shared papers)Susan R Sama (4 shared papers)
- Journals
- The American Journal of Cardiology (2 papers)International Journal of COPD (2 papers)Journal of General Internal Medicine (2 papers)Cancer Causes & Control (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- United StatesKenyaNetherlands
In The Last Decade
Devi Sundaresan
24 papers receiving 310 citations
Peers
Comparison fields: 5 of 69
- Health Information Management 52
- Family Practice 10
- Medical Terminology 1
- Health Informatics 5
- Nephrology 17
Countries citing papers authored by Devi Sundaresan
This map shows the geographic impact of Devi Sundaresan'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 Devi Sundaresan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devi Sundaresan more than expected).
Fields of papers citing papers by Devi Sundaresan
This network shows the impact of papers produced by Devi Sundaresan. 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 Devi Sundaresan. The network helps show where Devi Sundaresan may publish in the future.
Co-authors
The 25 scholars most cited alongside Devi Sundaresan, 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 | 2018 | 36 | |
| 2 | 2020 | 31 | |
| 3 | 2015 | 30 | |
| 4 | 2020 | 27 | |
| 5 | 2020 | 27 | |
| 6 | 2010 | 23 | |
| 7 | 2017 | 22 | |
| 8 | 2019 | 21 | |
| 9 | 2019 | 18 | |
| 10 | 2019 | 16 | |
| 11 | 2017 | 14 | |
| 12 | 2016 | 13 | |
| 13 | 2021 | 10 | |
| 14 | 2013 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2009 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2013 | 2 |
About Devi Sundaresan
Devi Sundaresan is a scholar working on Health Information Management, Organizational Behavior and Human Resource Management, Oncology, Epidemiology and Clinical Psychology, having authored 26 papers that have together received 322 indexed citations. Recurring topics across this work include Electronic Health Records Systems (5 papers), Influenza Virus Research Studies (3 papers), Healthcare Systems and Technology (3 papers), Neutropenia and Cancer Infections (2 papers), COVID-19 and healthcare impacts (2 papers), Acute Myocardial Infarction Research (1 paper), COVID-19 Clinical Research Studies (1 paper) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Health Information Management (52 citations), Family Practice (10 citations), Medical Terminology (1 citation), Health Informatics (5 citations) and Nephrology (17 citations). Devi Sundaresan has collaborated with scholars based in United States, Kenya and Netherlands. Frequent co-authors include Lawrence Garber, Kathleen M. Mazor, Sarah LeLeiko Cutrona, Peggy Preusse, Lloyd D. Fisher, Robert A. Yood, Jessica A. Ogarek, Susan R Sama, BRUCE A. BARTON and Jerry H. Gurwitz. Their work appears in journals such as The American Journal of Cardiology, International Journal of COPD, Journal of General Internal Medicine, Cancer Causes & Control and Journal of Medical Internet Research.
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.