Brad Hutton

3.6k citations
7 papers · 2.1k · 2 hit papers · h-index 7

Impact in

Papers in

    • COVID-19 Clinical Research Studies 2
    • SARS-CoV-2 and COVID-19 Research 2
    • Antifungal resistance and susceptibility 1
    • Virology and Viral Diseases 1

Brad Hutton

7 papers receiving 2.1k citations

Brad Hutton's Hit Papers

Multisystem Inflammatory Syndrome in Children in New York State 2020 · 889 citations
8890+2+4Years since publication250500750

Peers

Brad Hutton
Comparison fields: 5 of 118
  • Infectious Diseases 1.2k
  • Obstetrics and Gynecology 165
  • Applied Microbiology and Biotechnology 43
  • Neurology 287
  • Surgery 632
Replace Howard A. Zucker with:
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Brad Hutton relative to Howard A. Zucker United States Howard A. Zucker's profile →
Citations per field
00.5×1.5×
Howard A. Zucker · 1×
Citations per year

Countries citing papers authored by Brad Hutton

Since Specialization
Citations

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

Fields of papers citing papers by Brad Hutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Multisystem Inflammatory Syndrome in Children in New York State
Hit paper breakdown →
2020889
2
Association of Treatment With Hydroxychloroquine or Azithromycin With In-Hospital Mortality in Patients With COVID-19 in New York State
Hit paper breakdown →
2020784
3 2018215
4 2020157
5 202062
6 201627
7
Infant apnoea: a home monitoring programme.
19886

About Brad Hutton

Brad Hutton is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Surgery and Endocrine and Autonomic Systems, having authored 7 papers that have together received 2.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Neonatal Respiratory Health Research (1 paper), Injury Epidemiology and Prevention (1 paper), Antifungal resistance and susceptibility (1 paper), Virology and Viral Diseases (1 paper), Mosquito-borne diseases and control (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Infectious Diseases (1.2k citations), Obstetrics and Gynecology (165 citations), Applied Microbiology and Biotechnology (43 citations), Neurology (287 citations) and Surgery (632 citations). Brad Hutton has collaborated with scholars based in United States and Canada. Frequent co-authors include Howard A. Zucker, Debra Blog, Tomoko Udo, Eli S. Rosenberg, Jessica Kumar, Elizabeth Dufort, Alison Muse, James M. Tesoriero, David R. Holtgräve and Meredith A. Barranco. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Microbiology, Annals of Epidemiology, JAMA and Emerging 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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