Jason Rippe

748 citations
10 papers · 465 · h-index 6

Impact in

    • Antimicrobial Resistance in Staphylococcus
    • SARS-CoV-2 and COVID-19 Research
    • Otolaryngology and Infectious Diseases
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing

Papers in

Jason Rippe

10 papers receiving 448 citations

Peers

Jason Rippe
Comparison fields: 5 of 59
  • Infectious Diseases 374
  • Modeling and Simulation 48
  • Public Health, Environmental and Occupational Health 232
  • Obstetrics and Gynecology 39
  • Clinical Biochemistry 31
Replace Janessa Pickering with:
Janessa Pickering Australia
Michael Daugherty United States
Janneke D. M. Verberk Netherlands
Alexander Viloria Winnett United States
Tuğba Bedir Demirdağ Türkiye
Bekalu Kassie Ethiopia
Hassan Hawa Saudi Arabia
Carol Kao United States
João Luiz Miraglia Brazil
Jacques Lukenze Tamuzi South Africa
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Citations per field
00.5×2.7×
Janessa Pickering · 1×
Citations per year

Countries citing papers authored by Jason Rippe

Since Specialization
Citations

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

Fields of papers citing papers by Jason Rippe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2020198
2 200987
3 200983
4 200453
5 202120
6 201911
7 20075
8 20204
9 20223
10 20201

About Jason Rippe

Jason Rippe is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Clinical Psychology and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 465 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (6 papers), Antimicrobial Resistance in Staphylococcus (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Otolaryngology and Infectious Diseases (3 papers), SARS-CoV-2 detection and testing (2 papers), COVID-19 Clinical Research Studies (2 papers), Pneumonia and Respiratory Infections (2 papers) and COVID-19 and Mental Health (1 paper). The work is most often cited by research in Infectious Diseases (374 citations), Modeling and Simulation (48 citations), Public Health, Environmental and Occupational Health (232 citations), Obstetrics and Gynecology (39 citations) and Clinical Biochemistry (31 citations). Jason Rippe has collaborated with scholars based in United States. Frequent co-authors include William J. Muller, Taylor Heald‐Sargent, Ami B. Patel, Larry K. Kociolek, Xiaotian Zheng, Stanford T. Shulman, Robert R. Tanz, William Kabat, Michael A. Gerber and R. Seshadri. Their work appears in journals such as Clinical Infectious Diseases, The Pediatric Infectious Disease Journal, Journal of the Pediatric Infectious Diseases Society, PEDIATRICS and JAMA Pediatrics.

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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