Daniel Ewing

589 citations
13 papers · 389 · h-index 9

Impact in

    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research
    • HIV/AIDS Research and Interventions
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • Viral Infections and Outbreaks Research 5
    • Viral Infections and Vectors 3
    • SARS-CoV-2 and COVID-19 Research 2
    • Influenza Virus Research Studies 3

Daniel Ewing

13 papers receiving 373 citations

Peers

Daniel Ewing
Comparison fields: 5 of 50
  • Infectious Diseases 284
  • Virology 47
  • Public Health, Environmental and Occupational Health 271
  • Endocrinology 15
  • Parasitology 14
Replace Cheng-Lin Deng with:
Cheng-Lin Deng China
Teri Ann S. Wong United States
Timothy Burgess United States
Rafael De La Barrera United States
Helen Oh Singapore
Laurent Chambonneau France
Esther M. Ellis United States
Anna M. Y. Yamamura Brazil
M Leal Brazil
Zainah Saat Malaysia
Daniel Ewing relative to Cheng-Lin Deng China Cheng-Lin Deng's profile →
Citations per field
00.5×1.7×
Cheng-Lin Deng · 1×
Citations per year

Countries citing papers authored by Daniel Ewing

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ewing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200090
2 200086
3 201158
4 200546
5 201930
6 199723
7 202022
8 201516
9 20218
10 20225
11 20202
12 20142
13 20241

About Daniel Ewing

Daniel Ewing is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology and Virology, having authored 13 papers that have together received 389 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (6 papers), Viral Infections and Outbreaks Research (5 papers), Influenza Virus Research Studies (3 papers), Viral Infections and Vectors (3 papers), HIV Research and Treatment (2 papers), Malaria Research and Control (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Infectious Diseases (284 citations), Virology (47 citations), Public Health, Environmental and Occupational Health (271 citations), Endocrinology (15 citations) and Parasitology (14 citations). Daniel Ewing has collaborated with scholars based in United States, Sweden and Peru. Frequent co-authors include Kevin R. Porter, Kanakatte Raviprakash, Irving A. Phillips, Gerald S. Murphy, Alfonso S. Gozalo, Douglas M. Watts, Walter R. Weiss, Tadeusz J. Kochel, Shuenn-Jue Wu and Kevin L. Russell. Their work appears in journals such as Vaccine, Microbiology, Pathogens, Vaccines and The Journal of Infectious Diseases.

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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