Christopher Teale

50 papers receiving 2.9k citations

Peers

Christopher Teale
Comparison fields: 5 of 99
  • Molecular Medicine 1.3k
  • Endocrinology 534
  • Applied Microbiology and Biotechnology 127
  • Pollution 679
  • Clinical Biochemistry 357
Replace Miguel Á. Moreno with:
Miguel Á. Moreno Spain
Alessia Franco Italy
Yvonne Agersø Denmark
Sam Abraham Australia
Antonio Battisti Italy
Annemarie Käsbohrer Germany
Gregory H. Tyson United States
Shabbir Simjee United States
Lina Cavaco Denmark
Jens A. Hammerl Germany
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Citations per year

Countries citing papers authored by Christopher Teale

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Teale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christopher Teale, 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 Christopher Teale Line = papers co-authored together Christopher Teale links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011332
2 2016307
3 2017230
4 2013190
5 2019152
6 2008146
7 2004113
8 2019112
9 2016112
10 2007108
11 200696
12 201291
13 201088
14 201285
15 201483
16 200871
17 201961
18 200258
19 201653
20 201348

About Christopher Teale

Christopher Teale is a scholar working on Molecular Medicine, Food Science, Infectious Diseases, Pollution and Microbiology, having authored 52 papers that have together received 3.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (29 papers), Salmonella and Campylobacter epidemiology (14 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers), Microbial infections and disease research (6 papers), Bacteriophages and microbial interactions (6 papers), Bacterial biofilms and quorum sensing (4 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). The work is most often cited by research in Molecular Medicine (1.3k citations), Endocrinology (534 citations), Applied Microbiology and Biotechnology (127 citations), Pollution (679 citations) and Clinical Biochemistry (357 citations). Christopher Teale has collaborated with scholars based in United Kingdom, Denmark and France. Frequent co-authors include Neil Woodford, Luke Randall, Beatriz Guerra, Angela Kearns, Robert Skov, Mark A. Holmes, Anders Rhod Larsen, Bruno Pichon, David W. Wareham and Muna F. Anjum. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Veterinary Record, Frontiers in Microbiology, Journal of Applied Microbiology and Microbial Drug Resistance.

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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