Nathan Beutler

5.5k citations
7 papers · 152 · h-index 6

Impact in

Papers in

Nathan Beutler

6 papers receiving 150 citations

Peers

Nathan Beutler
Comparison fields: 5 of 36
  • Infectious Diseases 94
  • Public Health, Environmental and Occupational Health 75
  • Animal Science and Zoology 20
  • Virology 7
  • Modeling and Simulation 5
Replace Joilson Xavier with:
Joilson Xavier Brazil
Brady T. Hickerson United States
Liana E. Kafetzopoulou Belgium
Awadalkareem Adam United States
Liis Karo-Astover Estonia
Simon J. Anthony United States
Olamide K. Oloniniyi Japan
Jiuyue Xu China
Katherine E. Burgomaster United States
Spencer L. Sterling United States
Nathan Beutler relative to Joilson Xavier Brazil Joilson Xavier's profile →
Citations per field
00.5×3.5×
Joilson Xavier · 1×
Citations per year

Countries citing papers authored by Nathan Beutler

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Beutler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 201765
2 202144
3 202214
4 202113
5 202311
6 20205
7 20250

About Nathan Beutler

Nathan Beutler is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Cardiology and Cardiovascular Medicine and Animal Science and Zoology, having authored 7 papers that have together received 152 indexed citations. Recurring topics across this work include Malaria Research and Control (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Mosquito-borne diseases and control (3 papers), COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 detection and testing (2 papers), interferon and immune responses (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Infectious Diseases (94 citations), Public Health, Environmental and Occupational Health (75 citations), Animal Science and Zoology (20 citations), Virology (7 citations) and Modeling and Simulation (5 citations). Nathan Beutler has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Thomas F. Rogers, Bryan Briney, Rebecca Nedellec, Michael E. Brown, Khoa Le, Eileen C. Goodwin, Laura M. Walker, Devin Sok, Dennis R. Burton and Alexander Strubel. Their work appears in journals such as Nature Biomedical Engineering, Cell, Science Immunology, ACS Infectious Diseases and Nature Communications.

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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