Dan Ewing

719 total citations
9 papers, 412 citations indexed

About

Dan Ewing is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Virology. According to data from OpenAlex, Dan Ewing has authored 9 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Public Health, Environmental and Occupational Health and 4 papers in Virology. Recurrent topics in Dan Ewing's work include Mosquito-borne diseases and control (7 papers), Viral Infections and Outbreaks Research (5 papers) and HIV Research and Treatment (3 papers). Dan Ewing is often cited by papers focused on Mosquito-borne diseases and control (7 papers), Viral Infections and Outbreaks Research (5 papers) and HIV Research and Treatment (3 papers). Dan Ewing collaborates with scholars based in United States and Australia. Dan Ewing's co-authors include Kanakatte Raviprakash, Kevin R. Porter, Gerald S. Murphy, John Y. Dong, Richard Stout, Monika Simmons, Jan Woraratanadharm, David H. Holman, Lan Chen and Danher Wang and has published in prestigious journals such as Journal of Virology, Virology and Vaccine.

In The Last Decade

Dan Ewing

9 papers receiving 398 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Ewing United States 7 290 277 49 48 46 9 412
Gopalsamy Sarangan India 5 317 1.1× 295 1.1× 50 1.0× 28 0.6× 70 1.5× 11 408
Daniel P. Strange United States 8 197 0.7× 200 0.7× 46 0.9× 64 1.3× 84 1.8× 8 344
Chen-Yi Chiang Taiwan 11 195 0.7× 210 0.8× 74 1.5× 72 1.5× 80 1.7× 24 364
Siraporn Sawasdivorn Thailand 4 541 1.9× 486 1.8× 39 0.8× 88 1.8× 82 1.8× 7 689
Smita Jaiswal United States 9 258 0.9× 262 0.9× 39 0.8× 118 2.5× 65 1.4× 10 455
Heather Friberg United States 15 499 1.7× 464 1.7× 77 1.6× 126 2.6× 73 1.6× 43 699
Shu-Yuan Xiao United States 7 208 0.7× 201 0.7× 81 1.7× 35 0.7× 100 2.2× 8 417
Alvydas Pranas Laiškonis Lithuania 8 208 0.7× 179 0.6× 19 0.4× 54 1.1× 111 2.4× 13 384
Eglys Aguirre Cuba 8 286 1.0× 254 0.9× 28 0.6× 52 1.1× 30 0.7× 8 350
Priscilla R. Costa Brazil 11 152 0.5× 265 1.0× 56 1.1× 126 2.6× 78 1.7× 21 470

Countries citing papers authored by Dan Ewing

Since Specialization
Citations

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

Fields of papers citing papers by Dan Ewing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Ewing

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Ewing. A scholar is included among the top collaborators of Dan Ewing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Ewing. Dan Ewing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Wu, Shuenn-Jue, Dan Ewing, Huawei Chen, et al.. (2022). Enhanced Immunogenicity of Inactivated Dengue Vaccines by Novel Polysaccharide-Based Adjuvants in Mice. Microorganisms. 10(5). 1034–1034. 4 indexed citations
2.
Williams, Maya, Dan Ewing, Peifang Sun, et al.. (2019). Enhanced immunogenicity and protective efficacy of a tetravalent dengue DNA vaccine using electroporation and intradermal delivery. Vaccine. 37(32). 4444–4453. 22 indexed citations
3.
Morrison, Brian J., Nicholas J. Martin, Tauseef Ur Rehman, et al.. (2018). Influence of sample collection tube method, anticoagulant-containing plasma versus serum, on influenza virus hemagglutination inhibition titer and microneutralization titer serological assays. BMC Health Services Research. 18(1). 651–651. 6 indexed citations
4.
Raviprakash, Kanakatte, Danher Wang, Dan Ewing, et al.. (2008). A Tetravalent Dengue Vaccine Based on a Complex Adenovirus Vector Provides Significant Protection in Rhesus Monkeys against All Four Serotypes of Dengue Virus. Journal of Virology. 82(14). 6927–6934. 94 indexed citations
5.
Chen, Lan, Dan Ewing, Jonathan O. Rayner, et al.. (2007). A Heterologous DNA Prime-Venezuelan Equine Encephalitis Virus Replicon Particle Boost Dengue Vaccine Regimen Affords Complete Protection from Virus Challenge in Cynomolgus Macaques. Journal of Virology. 81(21). 11634–11639. 57 indexed citations
6.
Raviprakash, Kanakatte, Doris Apt, Craig Skinner, et al.. (2006). A chimeric tetravalent dengue DNA vaccine elicits neutralizing antibody to all four virus serotypes in rhesus macaques. Virology. 353(1). 166–173. 54 indexed citations
7.
Ewing, Dan, Alessio Pigazzi, Yuchen Wang, & Garth H. Ballantyne. (2004). Robots in the Operating Room The History. Surgical Innovation. 11(2). 63–71. 30 indexed citations
9.
Raviprakash, Kanakatte, Ernesto T. A. Marques, Dan Ewing, et al.. (2001). Synergistic Neutralizing Antibody Response to a Dengue Virus Type 2 DNA Vaccine by Incorporation of Lysosome-Associated Membrane Protein Sequences and Use of Plasmid Expressing GM-CSF. Virology. 290(1). 74–82. 71 indexed citations

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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