Kate Beard

481 citations
16 papers · 215 · h-index 7

Impact in

  • Microbiology top 10%
    • Bacterial Infections and Vaccines
    • Pneumonia and Respiratory Infections
    • Respiratory viral infections research
    • Influenza Virus Research Studies
    • Pneumocystis jirovecii pneumonia detection and treatment

Papers in

    • SARS-CoV-2 detection and testing 6
    • Clostridium difficile and Clostridium perfringens research 3
    • COVID-19 Clinical Research Studies 3
    • Viral gastroenteritis research and epidemiology 3
    • Respiratory viral infections research 8
    • Pneumonia and Respiratory Infections 5
    • Influenza Virus Research Studies 3

Kate Beard

15 papers receiving 214 citations

Peers

Kate Beard
Comparison fields: 5 of 47
  • Microbiology 51
  • Epidemiology 171
  • Applied Microbiology and Biotechnology 8
  • Infectious Diseases 57
  • Clinical Biochemistry 9
Replace Jennifer Milucky with:
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Kate Beard relative to Jennifer Milucky United States Jennifer Milucky's profile →
Citations per field
00.5×1.5×2.1×
Jennifer Milucky · 1×
Citations per year

Countries citing papers authored by Kate Beard

Since Specialization
Citations

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

Fields of papers citing papers by Kate Beard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2015101
2 202034
3 201820
4 20239
5 20228
6 20198
7 20218
8 20196
9 20196
10 20225
11 20253
12 20232
13 20182
14 20231
15 20241
16 20181

About Kate Beard

Kate Beard is a scholar working on Infectious Diseases, Epidemiology, Clinical Biochemistry, Emergency Medicine and Surgery, having authored 16 papers that have together received 215 indexed citations. Recurring topics across this work include Respiratory viral infections research (8 papers), SARS-CoV-2 detection and testing (6 papers), Pneumonia and Respiratory Infections (5 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Influenza Virus Research Studies (3 papers), COVID-19 Clinical Research Studies (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Microbiology (51 citations), Epidemiology (171 citations), Applied Microbiology and Biotechnology (8 citations), Infectious Diseases (57 citations) and Clinical Biochemistry (9 citations). Kate Beard has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Tristan Clark, Nathan J. Brendish, Stuart C. Clarke, Johanna M. Jefferies, Stephen D. Bentley, Anna S. Tocheva, Saul N. Faust, Rebecca A. Gladstone, Ahalya Malachira and Stephen Poole. Their work appears in journals such as Journal of Infection, Open Forum Infectious Diseases, Infectious Diseases and Therapy, BMJ Open and Infection Control and Hospital Epidemiology.

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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