Carol Churcher

48.2k citations
23 papers · 2.2k indexed · 1 hit paper · h-index 15
Topics
Bacteriophages and microbial interactions (6 papers)Salmonella and Campylobacter epidemiology (4 papers)Vibrio bacteria research studies (4 papers)

In The Last Decade

Carol Churcher

22 papers receiving 2.1k citations

Hit Papers

High-throughput clone library analysis of the mucosa-asso...20112026201620212011100200300400500

Peers

Carol Churcher
Comparison fields: 5 of 107
  • Molecular Biology 945
  • Infectious Diseases 793
  • Epidemiology 495
  • Genetics 400
  • Ecology 394
Replace Marianne De Paepe with:
Marianne De Paepe France
Robert P. Fagan United Kingdom
Smita Gopinath United States
Marc Monot France
H C Krivan United States
A. Marijke Keestra United States
Mariana N. Xavier Brazil
Liljana Petrovska United Kingdom
Lasha Gogokhia United States
Cyril J. Smyth Ireland
Carol Churcher relative to Marianne De Paepe France Marianne De Paepe's profile →
Citations per field
00.5×1.5×2.4×
Marianne De Paepe · 1×
Citations per year

Countries citing papers authored by Carol Churcher

Since Specialization
Citations

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

Fields of papers citing papers by Carol Churcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Churcher

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Churcher. A scholar is included among the top collaborators of Carol Churcher 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 Carol Churcher. Carol Churcher 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 13
2 5
3 9
4
High-throughput clone library analysis of the mucosa-associated microbiota reveals dysbiosis and differences between inflamed and non-inflamed regions of the intestine in inflammatory bowel diseasebreakdown →
561
5 91
6 84
7 77
8 419
9 58
10 20
11 12
12 217
13 66
14 144
15 0
16 3
17 72
18 33
19 4
20 73

About Carol Churcher

Carol Churcher is a scholar working on Endocrinology, Infectious Diseases and Microbiology, having authored 23 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (6 papers), Salmonella and Campylobacter epidemiology (4 papers) and Vibrio bacteria research studies (4 papers). The work is most often cited by research in Infectious Diseases (793 citations), Endocrinology (207 citations) and Gastroenterology (116 citations). Carol Churcher has collaborated with scholars based in United Kingdom, United States and Vietnam. Frequent co-authors include Julian Parkhill, Gordon Dougan, Liljana Petrovska, Alan W. Walker, Michael A. Quail, Barry Hudspith, Jeremy Sanderson, Neil B. Rayment, Gareth Parkes and Jonathan Brostoff. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Annals of Surgery.

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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