Tim Conibear

698 total citations
18 papers, 541 citations indexed

About

Tim Conibear is a scholar working on Molecular Biology, Molecular Medicine and Infectious Diseases. According to data from OpenAlex, Tim Conibear has authored 18 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Molecular Medicine and 4 papers in Infectious Diseases. Recurrent topics in Tim Conibear's work include Bacterial biofilms and quorum sensing (9 papers), Antibiotic Resistance in Bacteria (5 papers) and Ocular Infections and Treatments (3 papers). Tim Conibear is often cited by papers focused on Bacterial biofilms and quorum sensing (9 papers), Antibiotic Resistance in Bacteria (5 papers) and Ocular Infections and Treatments (3 papers). Tim Conibear collaborates with scholars based in Australia, United Kingdom and Denmark. Tim Conibear's co-authors include Mark Willcox, Hua Zhu, Jeremy S. Webb, Samuel Collins, Rani Bandara, Michael Givskov, Staffan Kjelleberg, Stuart A. Rice, Emma B.H. Hume and Fiona Stapleton and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Microbiology.

In The Last Decade

Tim Conibear

18 papers receiving 527 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tim Conibear Australia 10 403 231 97 89 84 18 541
Matthew Feldman United States 5 454 1.1× 199 0.9× 175 1.8× 159 1.8× 136 1.6× 9 670
Jessica Bonnell United States 11 309 0.8× 256 1.1× 60 0.6× 116 1.3× 92 1.1× 13 714
Trevor Beaudoin Canada 13 355 0.9× 155 0.7× 223 2.3× 77 0.9× 48 0.6× 17 544
Rustin R. Lovewell United States 8 309 0.8× 114 0.5× 125 1.3× 108 1.2× 57 0.7× 11 552
Sheri Dellos-Nolan United States 7 291 0.7× 71 0.3× 52 0.5× 54 0.6× 47 0.6× 11 392
Lauren B. King United States 8 120 0.3× 126 0.5× 21 0.2× 84 0.9× 14 0.2× 11 341
Alistair J. Standish Australia 12 168 0.4× 36 0.2× 33 0.3× 54 0.6× 50 0.6× 18 601
Benjamin J. Staudinger United States 9 422 1.0× 121 0.5× 206 2.1× 80 0.9× 154 1.8× 9 664
Victoria L. Campodónico United States 6 132 0.3× 86 0.4× 79 0.8× 46 0.5× 22 0.3× 8 300
Alexander Halfmann Germany 10 184 0.5× 84 0.4× 13 0.1× 18 0.2× 68 0.8× 20 582

Countries citing papers authored by Tim Conibear

Since Specialization
Citations

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

Fields of papers citing papers by Tim Conibear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Conibear

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

All Works

18 of 18 papers shown
1.
Conibear, Tim, et al.. (2020). Using technology-enabled social prescriptions to disrupt healthcare. Journal of the Royal Society of Medicine. 113(2). 59–63. 3 indexed citations
2.
Kadambari, Seilesh, Claire Atkinson, Suzanne Luck, et al.. (2016). Characterising variation in five genetic loci of cytomegalovirus during treatment for congenital infection. Journal of Medical Virology. 89(3). 502–507. 6 indexed citations
3.
Cole, Nerida, et al.. (2014). The role of CXC chemokine receptor 2 in Staphylococcus aureus keratitis. Experimental Eye Research. 127. 184–189. 12 indexed citations
4.
Akay, Ela M., et al.. (2014). Interleukin 28B Gene Polymorphisms and Epstein-Barr Virus-Associated Lymphoproliferative Diseases. Intervirology. 57(2). 112–115. 9 indexed citations
5.
Wyatt, Harry J., Malcolm Macartney, Tim Conibear, et al.. (2014). The utility of genotypic tropism testing in clinical practice. International Journal of STD & AIDS. 26(8). 593–594. 1 indexed citations
6.
Garcı́a-Dı́az, Ana, Adele McCormick, Malcolm Macartney, et al.. (2013). Evaluation of the Roche prototype 454 HIV-1 ultradeep sequencing drug resistance assay in a routine diagnostic laboratory. Journal of Clinical Virology. 58(2). 468–473. 5 indexed citations
7.
Penn, Alexandra S., Tim Conibear, Richard A. Watson, Alex R. Kraaijeveld, & Jeremy S. Webb. (2012). Can Simpson's paradox explain co-operation inPseudomonas aeruginosabiofilms?. FEMS Immunology & Medical Microbiology. 65(2). 226–235. 15 indexed citations
8.
Conibear, Tim, Mark Willcox, Judith Flanagan, & Hua Zhu. (2011). Characterization of protease IV expression in Pseudomonas aeruginosa clinical isolates. Journal of Medical Microbiology. 61(2). 180–190. 13 indexed citations
9.
Conibear, Tim, Samuel Collins, & Jeremy S. Webb. (2009). Role of Mutation in Pseudomonas aeruginosa Biofilm Development. PLoS ONE. 4(7). e6289–e6289. 93 indexed citations
10.
Penn, Alexandra S., et al.. (2008). Mechanisms for the initiation of multicellularity in bacterial biofilms.. Artificial Life. 794. 4 indexed citations
11.
Zhu, Hua, et al.. (2008). Pseudomonas aeruginosa Quorum-Sensing Signal Molecules Induce IL-8 Production by Human Corneal Epithelial Cells. Eye & Contact Lens Science & Clinical Practice. 34(3). 179–181. 16 indexed citations
12.
Willcox, Mark, Huifeng Zhu, Tim Conibear, et al.. (2008). Role of quorum sensing by Pseudomonas aeruginosa in microbial keratitis and cystic fibrosis. Microbiology. 154(8). 2184–2194. 66 indexed citations
13.
Penn, Alexandra S., Simon T. Powers, Tim Conibear, et al.. (2008). Co-operation and Group structure in Bacterial Biofilms. ePrints Soton (University of Southampton). 1 indexed citations
14.
Cole, Nerida, Emma B.H. Hume, Linda Garthwaite, et al.. (2007). The Role of CXC Chemokine Receptor Two in Pseudomonas aeruginosa and Staphylococcus aureus Corneal Infection. Investigative Ophthalmology & Visual Science. 48(13). 2660–2660. 2 indexed citations
15.
Tingpej, Pholawat, Barbara Rose, Hua Zhu, et al.. (2007). Phenotypic Characterization of Clonal and Nonclonal Pseudomonas aeruginosa Strains Isolated from Lungs of Adults with Cystic Fibrosis. Journal of Clinical Microbiology. 45(6). 1697–1704. 89 indexed citations
16.
Zhu, Hua, Tim Conibear, Rani Bandara, et al.. (2006). Type III Secretion System–Associated Toxins, Proteases, Serotypes, and Antibiotic Resistance ofPseudomonas aeruginosaIsolates Associated with Keratitis. Current Eye Research. 31(4). 297–306. 60 indexed citations
17.
Rose, Barbara, Pholawat Tingpej, Hua Zhu, et al.. (2006). Protease IV production in Pseudomonas aeruginosa from the lungs of adults with cystic fibrosis. Journal of Medical Microbiology. 55(12). 1641–1644. 30 indexed citations
18.
Zhu, Hua, Rani Bandara, Tim Conibear, et al.. (2004). Pseudomonas aeruginosawithLasIQuorum-Sensing Deficiency during Corneal Infection. Investigative Ophthalmology & Visual Science. 45(6). 1897–1897. 116 indexed citations

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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