Chelsea Caya

1.1k citations
26 papers · 606 indexed · h-index 12
Topics
Respiratory viral infections research (9 papers)SARS-CoV-2 and COVID-19 Research (7 papers)Pneumonia and Respiratory Infections (4 papers)

In The Last Decade

Chelsea Caya

23 papers receiving 595 citations

Peers

Chelsea Caya
Comparison fields: 5 of 70
  • Epidemiology 322
  • Infectious Diseases 274
  • Clinical Biochemistry 94
  • Biomedical Engineering 71
  • Public Health, Environmental and Occupational Health 64
Replace Nathan J. Brendish with:
Nathan J. Brendish United Kingdom
Scott Matushek United States
Leon Peto United Kingdom
Daniela de Florentiis Italy
Maria Teresa Seville United States
Vera Tešić United States
Sandra Asner Switzerland
Roni Bitterman Israel
Mike Starr Australia
Donia Bouzid France
Chelsea Caya relative to Nathan J. Brendish United Kingdom Nathan J. Brendish's profile →
Citations per field
00.5×2.7×
Nathan J. Brendish · 1×
Citations per year

Countries citing papers authored by Chelsea Caya

Since Specialization
Citations

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

Fields of papers citing papers by Chelsea Caya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chelsea Caya

This figure shows the co-authorship network connecting the top 25 collaborators of Chelsea Caya. A scholar is included among the top collaborators of Chelsea Caya 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 Chelsea Caya. Chelsea Caya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 16
4 1
5 2
6 6
7 1
8 12
9 6
10 0
11 27
12 91
13 0
14
Blood Culture Results Before and After Antimicrobial Administration in Patients With Severe Manifestations of Sepsis
1
15 29
16 3
17 11
18 13
19 16
20 11

About Chelsea Caya

Chelsea Caya is a scholar working on Infectious Diseases, Microbiology and General Social Sciences, having authored 26 papers that have together received 606 indexed citations. Recurring topics across this work include Respiratory viral infections research (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Pneumonia and Respiratory Infections (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (31 citations), Infectious Diseases (274 citations) and Clinical Biochemistry (94 citations). Chelsea Caya has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Jesse Papenburg, Geneviève Gore, Nandini Dendukuri, Joanna Merckx, Caroline Chartrand, Ian Schiller, Cédric P. Yansouni, Matthew P. Cheng, Caroline Quach and Katryn Paquette. Their work appears in journals such as Nature Communications, Annals of Internal Medicine and PLoS ONE.

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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