Devi Sundaresan
Impact in
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- Electronic Health Records Systems
Papers in
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- Influenza Virus Research Studies 6
- Oncology 7
- COVID-19 and healthcare impacts 3
- Global Cancer Incidence and Screening 3
- Neutropenia and Cancer Infections 3
- Co-authors
- Lawrence Garber (14 shared papers)Kathleen M. Mazor (6 shared papers)Sarah L. Cutrona (6 shared papers)Peggy Preusse (6 shared papers)Lloyd D. Fisher (4 shared papers)Robert A. Yood (2 shared papers)Jerry H. Gurwitz (6 shared papers)Terry S. Field (7 shared papers)
- Journals
- Clinical Cancer Research (2 papers)Blood (2 papers)International Journal of COPD (2 papers)The American Journal of Cardiology (2 papers)Journal of General Internal Medicine (2 papers)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Devi Sundaresan
26 papers receiving 291 citations
Peers
Comparison fields: 5 of 75
- Health Information Management 52
- Family Practice 10
- Health 38
- Medical Terminology 1
- General Health Professions 76
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 29 | |
| 2 | 2020 | 29 | |
| 3 | 2018 | 28 | |
| 4 | 2020 | 25 | |
| 5 | 2010 | 22 | |
| 6 | 2017 | 22 | |
| 7 | 2019 | 21 | |
| 8 | 2020 | 21 | |
| 9 | 2019 | 16 | |
| 10 | 2017 | 14 | |
| 11 | 2019 | 14 | |
| 12 | 2016 | 13 | |
| 13 | 2021 | 10 | |
| 14 | 2013 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2009 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2020 | 3 |
About Devi Sundaresan
Devi Sundaresan is a scholar working on Epidemiology, Oncology, Health Information Management, General Health Professions and Organizational Behavior and Human Resource Management, having authored 28 papers that have together received 300 indexed citations. Recurring topics across this work include Electronic Health Records Systems (6 papers), Influenza Virus Research Studies (6 papers), Healthcare Systems and Technology (5 papers), Vaccine Coverage and Hesitancy (3 papers), Mobile Health and mHealth Applications (3 papers), COVID-19 and healthcare impacts (3 papers), Global Cancer Incidence and Screening (3 papers) and Neutropenia and Cancer Infections (3 papers). The work is most often cited by research in Health Information Management (52 citations), Family Practice (10 citations), Health (38 citations), Medical Terminology (1 citation) and General Health Professions (76 citations). Devi Sundaresan has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Lawrence Garber, Kathleen M. Mazor, Sarah L. Cutrona, Peggy Preusse, Lloyd D. Fisher, Robert A. Yood, Jerry H. Gurwitz, Terry S. Field, Susan Sama and Bengisu Tulu. Their work appears in journals such as Clinical Cancer Research, Blood, International Journal of COPD, The American Journal of Cardiology and Journal of General Internal Medicine.
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.