Kate Beard

30 total papers · 474 total citations
16 papers, 214 citations indexed

About

Kate Beard is a scholar working on Infectious Diseases, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Kate Beard has authored 16 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 9 papers in Epidemiology and 2 papers in Clinical Biochemistry. Recurrent topics in Kate Beard's work include Respiratory viral infections research (8 papers), SARS-CoV-2 detection and testing (6 papers) and Pneumonia and Respiratory Infections (5 papers). Kate Beard is often cited by papers focused on Respiratory viral infections research (8 papers), SARS-CoV-2 detection and testing (6 papers) and Pneumonia and Respiratory Infections (5 papers). Kate Beard collaborates with scholars based in United Kingdom and United States. Kate Beard's co-authors include Nathan J. Brendish, Tristan Clark, Rebecca A. Gladstone, Johanna M. Jefferies, Stephen D. Bentley, Anna S. Tocheva, Stuart C. Clarke, Saul N. Faust, Stephen Poole and Ahalya Malachira and has published in prestigious journals such as The Lancet Infectious Diseases, Vaccine and BMJ Open.

In The Last Decade

Kate Beard

15 papers receiving 213 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kate Beard 170 57 51 18 14 16 214
Günther Hsue 99 0.6× 77 1.4× 49 1.0× 27 1.5× 20 1.4× 13 211
Tasha Poissant 214 1.3× 56 1.0× 32 0.6× 28 1.6× 7 0.5× 19 317
Guillaume Mellon 93 0.5× 90 1.6× 26 0.5× 16 0.9× 7 0.5× 23 201
Anneke C. Dijkmans 116 0.7× 67 1.2× 23 0.5× 16 0.9× 35 2.5× 14 311
Kathy Everhart 143 0.8× 71 1.2× 41 0.8× 6 0.3× 12 0.9× 13 186
Wilma Basualdo 83 0.5× 84 1.5× 17 0.3× 23 1.3× 20 1.4× 23 185
Adam Brothers 99 0.6× 61 1.1× 26 0.5× 13 0.7× 7 0.5× 13 171
Munehisa Fukusumi 101 0.6× 50 0.9× 67 1.3× 60 3.3× 14 1.0× 27 220
James W. Myers 116 0.7× 84 1.5× 19 0.4× 20 1.1× 12 0.9× 25 258
Viviana de Egea 178 1.0× 96 1.7× 21 0.4× 34 1.9× 6 0.4× 13 224

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-authorship network of co-authors of Kate Beard

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Beard. A scholar is included among the top collaborators of Kate Beard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kate Beard. Kate Beard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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