Devdutta Sangvai

18 papers receiving 303 citations

Peers

Devdutta Sangvai
Comparison fields: 5 of 57
  • Health Information Management 25
  • General Health Professions 97
  • Public Health, Environmental and Occupational Health 102
  • Emergency Medical Services 24
  • Family Practice 5
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Citations per field
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Citations per year

Countries citing papers authored by Devdutta Sangvai

Since Specialization
Citations

This map shows the geographic impact of Devdutta Sangvai'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 Devdutta Sangvai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devdutta Sangvai more than expected).

Fields of papers citing papers by Devdutta Sangvai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devdutta Sangvai. 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 Devdutta Sangvai. The network helps show where Devdutta Sangvai may publish in the future.

Co-authors

The 25 scholars most cited alongside Devdutta Sangvai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Devdutta Sangvai Line = papers co-authored together Devdutta Sangvai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2011114
2 201349
3 201348
4 201621
5 202116
6 201013
7
HCC Coding, Risk Adjustment, and Physician Income: What You Need to Know.
201710
8
A System to Describe and Reduce Medical Errors in Primary Care
20089
9 20118
10 20127
11 20076
12 20234
13 20224
14 20204
15 20232
16
Defining high-performance teams and physician leadership.
20082
17 20231
18 20231
19 20160
20
Appropriate testing for children with pharyngitis
20100

About Devdutta Sangvai

Devdutta Sangvai is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Economics and Econometrics, Epidemiology and Health Information Management, having authored 20 papers that have together received 319 indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (5 papers), Healthcare Policy and Management (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Chronic Disease Management Strategies (2 papers), Health and Medical Research Impacts (2 papers), Influenza Virus Research Studies (2 papers), Innovations in Medical Education (2 papers) and Healthcare cost, quality, practices (2 papers). The work is most often cited by research in Health Information Management (25 citations), General Health Professions (97 citations), Public Health, Environmental and Occupational Health (102 citations), Emergency Medical Services (24 citations) and Family Practice (5 citations). Devdutta Sangvai has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Victor J. Dzau, Krishna Udayakumar, Bimal R. Shah, Noah S. Kalman, W. J. Fulkerson, Alex H. Cho, Kevin A. Schulman, D. Clay Ackerly, Bimal R. Shah and Ziggy Yoediono. Their work appears in journals such as Academic Medicine, CHEST Journal, New England Journal of Medicine, Journal of Health Care for the Poor and Underserved and Journal of Clinical Virology.

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.

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