Christopher da Costa

480 citations
17 papers · 265 indexed · h-index 11
Topics
Tuberculosis Research and Epidemiology (5 papers)SARS-CoV-2 and COVID-19 Research (3 papers)Pneumocystis jirovecii pneumonia detection and treatment (3 papers)

In The Last Decade

Christopher da Costa

17 papers receiving 262 citations

Peers

Christopher da Costa
Comparison fields: 5 of 75
  • Infectious Diseases 151
  • Epidemiology 133
  • Immunology 49
  • Health 45
  • Molecular Biology 21
Replace Wey Wen Lim with:
Wey Wen Lim Hong Kong
Yonatan Oster Israel
Gordean Bjornson Canada
Patricia Stinchfield United States
Watsamon Jantarabenjakul Thailand
Khardiata Diallo Mbaye Senegal
Chi Eun Oh South Korea
Lisa Jose South Africa
Darlene Baxendale Canada
Raju Shah India
Christopher da Costa relative to Wey Wen Lim Hong Kong Wey Wen Lim's profile →
Citations per field
00.5×10×16×
Wey Wen Lim · 1×
Citations per year

Countries citing papers authored by Christopher da Costa

Since Specialization
Citations

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

Fields of papers citing papers by Christopher da Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher da Costa. 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 Christopher da Costa. The network helps show where Christopher da Costa may publish in the future.

Co-authorship network of co-authors of Christopher da Costa

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 10
2 5
3 7
4 33
5 6
6 17
7 43
8 15
9 17
10 7
11 1
12 20
13 11
14 5
15 23
16 16
17 29

About Christopher da Costa

Christopher da Costa is a scholar working on Infectious Diseases, Health and Clinical Biochemistry, having authored 17 papers that have together received 265 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). The work is most often cited by research in Infectious Diseases (151 citations), Health (45 citations) and Epidemiology (133 citations). Christopher da Costa has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Barry Walker, Aurelio Bonavia, Saroj Khanolkar-Young, Alison M. Elliott, Keith McAdam, K. Wasunna, Arthur Morris, A.H. Quoraishi, Benjamin A. Lipsky and Michele Wible. Their work appears in journals such as Clinical & Experimental Immunology, The Pediatric Infectious Disease Journal and Journal of Medical Microbiology.

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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