Robert E. Haupt

5k citations
13 papers · 3.8k · 4 hit papers · h-index 11

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
  • Immunology top 10%
    • Immunotherapy and Immune Responses

Papers in

Robert E. Haupt

13 papers receiving 3.6k citations

Robert E. Haupt's Hit Papers

SARS-CoV-2 spike glycoprotein vaccine candidate NVX-CoV2373 immunogenicity in baboons and protection in mice 2021 · 391 citations
3910+2+4Years since publication250500750

Peers

Robert E. Haupt
Comparison fields: 5 of 105
  • Infectious Diseases 2.7k
  • Immunology 203
  • Computational Theory and Mathematics 151
  • Biomedical Engineering 244
  • Molecular Biology 409
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Citations per field
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Citations per year

Countries citing papers authored by Robert E. Haupt

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. Haupt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. Haupt. 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 Robert E. Haupt. The network helps show where Robert E. Haupt may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Phase 1–2 Trial of a SARS-CoV-2 Recombinant Spike Protein Nanoparticle Vaccine
Hit paper breakdown →
2020955
2
Studies in humanized mice and convalescent humans yield a SARS-CoV-2 antibody cocktail
Hit paper breakdown →
2020937
3 2020551
4
SARS-CoV-2 spike glycoprotein vaccine candidate NVX-CoV2373 immunogenicity in baboons and protection in mice
Hit paper breakdown →
2021391
5
A human-airway-on-a-chip for the rapid identification of candidate antiviral therapeutics and prophylactics
Hit paper breakdown →
2021341
6 2021237
7 2020194
8 202299
9 202118
10 202215
11 202312
12 20236
13 20224

About Robert E. Haupt

Robert E. Haupt is a scholar working on Infectious Diseases, Epidemiology, Biomedical Engineering, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 13 papers that have together received 3.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), Influenza Virus Research Studies (2 papers) and 3D Printing in Biomedical Research (1 paper). The work is most often cited by research in Infectious Diseases (2.7k citations), Immunology (203 citations), Computational Theory and Mathematics (151 citations), Biomedical Engineering (244 citations) and Molecular Biology (409 citations). Robert E. Haupt has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Matthew B. Frieman, Christopher M. Coleman, James Logue, Susan Reich Weiss, Yize Li, Stuart M. Weston, Krystal L. Matthews, Florian Krammer, Erin M. Harberts and Robert K. Ernst. Their work appears in journals such as Nature Communications, Science, Scientific Reports, Science Translational Medicine and Vaccine.

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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