Stuart Beard

640 citations
20 papers · 464 · h-index 12

Impact in

    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 and COVID-19 Research
  • Epidemiology top 10%
    • Virology and Viral Diseases
    • Respiratory viral infections research

Papers in

Stuart Beard

19 papers receiving 420 citations

Peers

Stuart Beard
Comparison fields: 5 of 50
  • Infectious Diseases 220
  • Epidemiology 257
  • Health 53
  • Cardiology and Cardiovascular Medicine 125
  • Virology 21
Replace Edith Gerike with:
Edith Gerike Germany
Takuji Kumagai Japan
Yasufumi Hidaka Japan
Edith C. Sannella United States
Włodzimierz Gut Poland
Luis Barreto Canada
Elena N. Lopareva United States
Joanne Hiebert Canada
Mohinder S. Sidhu United States
Disha Bhavsar United States
Stuart Beard relative to Edith Gerike Germany Edith Gerike's profile →
Citations per field
00.5×5×10×15×22.3×
Edith Gerike · 1×
Citations per year

Countries citing papers authored by Stuart Beard

Since Specialization
Citations

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

Fields of papers citing papers by Stuart Beard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 199981
2 200581
3 202166
4 200139
5 202226
6 200725
7 202423
8 202321
9 200021
10 200320
11 202316
12 201314
13 200311
14 202210
15
Student and employer reflections of an international science and technology work placement
20013
16 20243
17 20202
18 20241
19 20191
20 20030

About Stuart Beard

Stuart Beard is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology, Health and Agronomy and Crop Science, having authored 20 papers that have together received 464 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (10 papers), Viral Infections and Immunology Research (8 papers), Respiratory viral infections research (6 papers), Virology and Viral Diseases (6 papers), Parvovirus B19 Infection Studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Vaccine Coverage and Hesitancy (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (220 citations), Epidemiology (257 citations), Health (53 citations), Cardiology and Cardiovascular Medicine (125 citations) and Virology (21 citations). Stuart Beard has collaborated with scholars based in United Kingdom, United States and Nepal. Frequent co-authors include David Brown, Li Jin, Mary Elizabeth Ramsay, Emma J. Savage, Joanne M. White, Bernard John Cohen, Kevin Brown, Dhanraj Samuel, Kęstutis Sasnauskas and Alma Gedvilaitė. Their work appears in journals such as Eurosurveillance, Journal of Medical Virology, The Journal of Infectious Diseases, mBio and The Pediatric Infectious Disease Journal.

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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