Jay Wells

4.8k citations
46 papers · 2.4k indexed · 1 hit paper · h-index 27

Impact in

    • Viral Infections and Outbreaks Research
    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 and COVID-19 Research
    • Disaster Response and Management

Papers in

Jay Wells

44 papers receiving 2.3k citations

Hit Papers

Protection against filovirus diseases by a novel broad-spectrum nucleoside analogue BCX4430 2014 · 461 citations
4612014202620182022100200300400

Peers

Jay Wells
Comparison fields: 5 of 118
  • Infectious Diseases 1.5k
  • Emergency Medical Services 243
  • Virology 133
  • Epidemiology 580
  • Modeling and Simulation 57
Replace Slobodan Paessler with:
Slobodan Paessler United States
Baba M Japan
R. Siegert Germany
Grégory Jouvion France
Thomas Larsen United States
Rachele Cagliani Italy
Jan A. M. Langermans Netherlands
Heather D. Hickman United States
Amy Kistler United States
Michael J. Carr Ireland
Jay Wells relative to Slobodan Paessler United States Slobodan Paessler's profile →
Citations per field
00.5×1.5×
Slobodan Paessler · 1×
Citations per year

Countries citing papers authored by Jay Wells

Since Specialization
Citations

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

Fields of papers citing papers by Jay Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Protection against filovirus diseases by a novel broad-spectrum nucleoside analogue BCX4430
Hit paper breakdown →
2014461
2 2013188
3 2010154
4 1965149
5 1977131
6 200992
7 201291
8 200575
9 201771
10 201169
11 195758
12 201058
13 200456
14 202050
15 201545
16 197444
17 201544
18 201344
19 201443
20 201540

About Jay Wells

Jay Wells is a scholar working on Infectious Diseases, Emergency Medical Services, Anesthesiology and Pain Medicine, Epidemiology and Neurology, having authored 46 papers that have together received 2.4k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (27 papers), Viral Infections and Vectors (19 papers), Disaster Response and Management (10 papers), Viral gastroenteritis research and epidemiology (10 papers), Hepatitis B Virus Studies (8 papers), Cardiomyopathy and Myosin Studies (5 papers), Muscle activation and electromyography studies (5 papers) and Muscle Physiology and Disorders (4 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Emergency Medical Services (243 citations), Virology (133 citations), Epidemiology (580 citations) and Modeling and Simulation (57 citations). Jay Wells has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Sina Bavari, Travis K. Warren, Robert J. French, Nicole L. Garza, Rekha G. Panchal, Sean A. Van Tongeren, Lisa S. Welch, Kelly L. Warfield, Lián Dŏng and Patrick L. Iversen. Their work appears in journals such as Antiviral Research, Viruses, PLoS ONE, Journal of Virology and Experimental Neurology.

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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