Ram Koppaka

1.8k citations
16 papers · 457 · 1 hit paper · h-index 9

Impact in

Papers in

    • Vaccine Coverage and Hesitancy 4
    • Health disparities and outcomes 2
    • Public Health Policies and Education 6
    • Primary Care and Health Outcomes 4
    • Food Security and Health in Diverse Populations 3

Ram Koppaka

16 papers receiving 440 citations

Ram Koppaka's Hit Papers

COVID-19 Vaccination Coverage, by Race and Ethnicity — National Immunization Survey Adult COVID Module, United States, December 2020–November 2021 2022 · 126 citations
1260+1+2Years since publication4080120

Peers

Ram Koppaka
Comparison fields: 5 of 97
  • Health 183
  • Modeling and Simulation 51
  • Infectious Diseases 99
  • General Health Professions 97
  • Epidemiology 120
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Ram Koppaka relative to Lauren Shaw United States Lauren Shaw's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ram Koppaka

Since Specialization
Citations

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

Fields of papers citing papers by Ram Koppaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ram Koppaka, 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 Ram Koppaka Line = papers co-authored together Ram Koppaka links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
COVID-19 Vaccination Coverage, by Race and Ethnicity — National Immunization Survey Adult COVID Module, United States, December 2020–November 2021
Hit paper breakdown →
2022126
2 2011112
3 201475
4 201545
5 201223
6 201516
7
ISOLATION AND QUARANTINE: CONTAINMENT STRATEGIES FOR SARS 2003
200416
8 20208
9 20128
10 20217
11 20126
12 20125
13 20124
14 20233
15 20232
16 20111

About Ram Koppaka

Ram Koppaka is a scholar working on Health, General Health Professions, Epidemiology, Economics and Econometrics and Infectious Diseases, having authored 16 papers that have together received 457 indexed citations. Recurring topics across this work include Public Health Policies and Education (6 papers), Healthcare Policy and Management (4 papers), Influenza Virus Research Studies (4 papers), Primary Care and Health Outcomes (4 papers), Vaccine Coverage and Hesitancy (4 papers), Food Security and Health in Diverse Populations (3 papers), COVID-19 epidemiological studies (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Health (183 citations), Modeling and Simulation (51 citations), Infectious Diseases (99 citations), General Health Professions (97 citations) and Epidemiology (120 citations). Ram Koppaka has collaborated with scholars based in United States and Japan. Frequent co-authors include Neil W. Schluger, Carolyn M. Greene, Yuping Tsai, Anup Srivastav, Megan C. Lindley, Carla L. Black, James A. Singleton, Jennifer L. Kriss, Laurie D. Elam–Evans and David Yankey. Their work appears in journals such as American Journal of Preventive Medicine, Journal of Public Health Management and Practice, American Journal of Public Health, JAMA and Annals of the American Thoracic Society.

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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