Colin Campbell

5.0k citations
44 papers · 2.3k indexed · 2 hit papers · h-index 13
Topics
Tuberculosis Research and Epidemiology (9 papers)Vaccine Coverage and Hesitancy (8 papers)HIV/AIDS Research and Interventions (7 papers)

In The Last Decade

Colin Campbell

39 papers receiving 2.2k citations

Hit Papers

Effectiveness of Covid-19 Vaccines against the B.1.617.2 ...20212026202220242021202350010001.5k

Peers

Colin Campbell
Comparison fields: 5 of 131
  • Infectious Diseases 1.7k
  • Health 602
  • Modeling and Simulation 503
  • Epidemiology 395
  • Molecular Biology 307
Replace Ruth Simmons with:
Ruth Simmons United Kingdom
Meera Chand United Kingdom
Ruian Ke United States
Emma B. Hodcroft Switzerland
Zhiliang Hu China
Miao Xu China
Ethan Romero-Severson United States
Isabel Rodríguez-Barraquer United States
Giorgio Guzzetta Italy
Susan Hahné Netherlands
Colin Campbell relative to Ruth Simmons United Kingdom Ruth Simmons's profile →
Citations per field
00.5×1.5×
Ruth Simmons · 1×
Citations per year

Countries citing papers authored by Colin Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Colin Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colin Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Colin Campbell. A scholar is included among the top collaborators of Colin Campbell 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 Colin Campbell. Colin Campbell 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
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10 15
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14 6
15 29
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About Colin Campbell

Colin Campbell is a scholar working on Microbiology, Infectious Diseases and General Dentistry, having authored 44 papers that have together received 2.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (9 papers), Vaccine Coverage and Hesitancy (8 papers) and HIV/AIDS Research and Interventions (7 papers). The work is most often cited by research in Modeling and Simulation (503 citations), Infectious Diseases (1.7k citations) and Health (602 citations). Colin Campbell has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Jamie Lopez Bernal, Mary Ramsay, Nick Andrews, Gayatri Amirthalingam, Julia Stowe, Elise Tessier, Charlotte Gower, Richard Myers, Kevin Brown and Maria Zambon. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

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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