Caroline Knott

496 citations
5 papers · 320 · h-index 5

Impact in

    • Tuberculosis Research and Epidemiology
  • Epidemiology top 10%
    • Mycobacterium research and diagnosis
    • Burkholderia infections and melioidosis

Papers in

    • Hepatitis B Virus Studies 2
    • Mycobacterium research and diagnosis 2
    • Liver Disease Diagnosis and Treatment 1
    • Tuberculosis Research and Epidemiology 2
    • HIV/AIDS drug development and treatment 1
    • Clostridium difficile and Clostridium perfringens research 1

Caroline Knott

5 papers receiving 286 citations

Peers

Caroline Knott
Comparison fields: 5 of 51
  • Infectious Diseases 232
  • Epidemiology 259
  • Virology 21
  • Microbiology 3
  • Hepatology 24
Replace Nancimae Miller with:
Nancimae Miller United States
Marion Delord France
Giacomo Zanelli Italy
Margaret Fitzgibbon Ireland
L. Ammari Tunisia
Pedro Légua Peru
Catherine A. Cosgrove United Kingdom
Jean-Louis Poirot France
A M Deluol France
Erin Kelley United States
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Citations per field
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Citations per year

Countries citing papers authored by Caroline Knott

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Knott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Caroline Knott, 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 Caroline Knott Line = papers co-authored together Caroline Knott links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Caroline Knott

Caroline Knott is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Molecular Biology and Molecular Medicine, having authored 5 papers that have together received 320 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers), Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers), HIV/AIDS drug development and treatment (1 paper), Molecular Biology Techniques and Applications (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Infectious Diseases (232 citations), Epidemiology (259 citations), Virology (21 citations), Microbiology (3 citations) and Hepatology (24 citations). Caroline Knott has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include D F Moore, Vivian Jonas, Keiichi Kamisango, J. M. Wolfe, Christopher L. King, David A. B. Dance, Pieter van West, Hazel M. Aucken, Tyrone L. Pitt and Larry Mimms. Their work appears in journals such as Journal of Clinical Microbiology, Veterinary Record and Transfusion.

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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