Peter Timms

14.9k total citations
355 papers, 9.8k citations indexed

About

Peter Timms is a scholar working on Microbiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Peter Timms has authored 355 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 244 papers in Microbiology, 115 papers in Epidemiology and 82 papers in Molecular Biology. Recurrent topics in Peter Timms's work include Reproductive tract infections research (236 papers), Urinary Tract Infections Management (60 papers) and Gut microbiota and health (49 papers). Peter Timms is often cited by papers focused on Reproductive tract infections research (236 papers), Urinary Tract Infections Management (60 papers) and Gut microbiota and health (49 papers). Peter Timms collaborates with scholars based in Australia, United States and United Kingdom. Peter Timms's co-authors include Adam Polkinghorne, Kenneth W. Beagley, Sarah Mathews, Wilhelmina M. Huston, Louise M. Hafner, Bonnie L. Quigley, Jon Hanger, James T. Summersgill, Philip M. Giffard and Sanghamitra Mukhopadhyay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Peter Timms

347 papers receiving 9.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter Timms 4.9k 2.9k 2.0k 1.6k 903 355 9.8k
Richard S. Stephens 6.2k 1.3× 3.6k 1.3× 1.9k 1.0× 1.7k 1.1× 506 0.6× 112 8.2k
Pawel Gajer 5.4k 1.1× 4.2k 1.5× 5.2k 2.6× 1.1k 0.7× 284 0.3× 69 11.2k
Rebecca M. Brotman 6.3k 1.3× 4.6k 1.6× 3.8k 1.9× 990 0.6× 272 0.3× 107 9.9k
David N. Fredricks 4.7k 1.0× 5.0k 1.8× 2.6k 1.3× 901 0.6× 206 0.2× 171 9.7k
Harlan D. Caldwell 8.9k 1.8× 5.3k 1.9× 1.6k 0.8× 3.5k 2.2× 799 0.9× 133 10.8k
Steven S. Witkin 3.9k 0.8× 5.4k 1.9× 2.4k 1.2× 3.9k 2.5× 903 1.0× 501 13.5k
Kenneth W. Beagley 1.9k 0.4× 1.6k 0.5× 1.3k 0.7× 4.3k 2.7× 385 0.4× 237 8.6k
D Taylor‐Robinson 10.4k 2.1× 6.0k 2.1× 796 0.4× 2.1k 1.3× 473 0.5× 373 13.2k
Elizabeth R. Fischer 3.0k 0.6× 2.5k 0.9× 4.2k 2.1× 1.6k 1.0× 189 0.2× 132 11.4k
Mario Vaneechoutte 4.3k 0.9× 4.0k 1.4× 5.6k 2.8× 699 0.4× 474 0.5× 290 14.7k

Countries citing papers authored by Peter Timms

Since Specialization
Citations

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

Fields of papers citing papers by Peter Timms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Timms

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Timms. A scholar is included among the top collaborators of Peter Timms 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 Peter Timms. Peter Timms 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
1.
McLennan, Elspeth A., Julian E. Beaman, Karen Burke da Silva, et al.. (2024). Using bioinformatics to investigate functional diversity: a case study of MHC diversity in koalas. Immunogenetics. 76(5-6). 381–395. 2 indexed citations
2.
Wille, Michelle, Subir Sarker, Renfu Shao, et al.. (2023). Unexpected Pathogen Diversity Detected in Australian Avifauna Highlights Potential Biosecurity Challenges. Viruses. 15(1). 143–143. 4 indexed citations
3.
4.
Cheng, Yuanyuan, Bonnie L. Quigley, Amy McConkey Robbins, et al.. (2022). A targeted approach to investigating immune genes of an iconic Australian marsupial. Molecular Ecology. 31(12). 3286–3303. 11 indexed citations
5.
6.
Chalmers, Gareth, Joan Carrick, Cheryl Jenkins, et al.. (2021). Epidemiology of Chlamydia psittaci infections in pregnant Thoroughbred mares and foals. The Veterinary Journal. 273. 105683–105683. 12 indexed citations
7.
Quigley, Bonnie L., et al.. (2019). Therapeutic effect of a Chlamydia pecorum recombinant major outer membrane protein vaccine on ocular disease in koalas (Phascolarctos cinereus). PLoS ONE. 14(1). e0210245–e0210245. 14 indexed citations
8.
9.
Waugh, Courtney, Jianbao Dong, Bonnie L. Quigley, et al.. (2017). Epidemiology of chlamydial infection and disease in a free-ranging koala (Phascolarctos cinereus) population. PLoS ONE. 12(12). e0190114–e0190114. 50 indexed citations
10.
Cheng, Yuanyuan, Adam Polkinghorne, Amber Gillett, et al.. (2017). Characterisation of MHC class I genes in the koala. Immunogenetics. 70(2). 125–133. 14 indexed citations
11.
Huston, Wilhelmina M., et al.. (2014). Evolution to a chronic disease niche correlates with increased sensitivity to Tryptophan availability for the obligate intracellular bacterium Chlamydia pneumoniae. UTS ePRESS (University of Technology Sydney). 9 indexed citations
12.
Symonds, Ian, Jane M. Finnie, Nikola A. Bowden, et al.. (2013). Progesterone Activates Multiple Innate Immune Pathways in C hlamydia trachomatis ‐Infected Endocervical Cells. American Journal of Reproductive Immunology. 71(2). 165–177. 25 indexed citations
13.
Dando, Samantha J., Ilias Nitsos, Suhas G. Kallapur, et al.. (2012). . UWA Profiles and Research Repository (UWA). 46 indexed citations
14.
Martineau, Adrian R., Shepherd Nhamoyebonde, Tolu Oni, et al.. (2011). Reciprocal seasonal variation in vitamin D status and tuberculosis notifications in Cape Town, South Africa. Proceedings of the National Academy of Sciences. 108(47). 19013–19017. 166 indexed citations
15.
Cunningham, Kelly, Alison J. Carey, Louise M. Hafner, Peter Timms, & Kenneth W. Beagley. (2011). Chlamydia muridarum major-outer membrane protein-specific antibodies inhibit in vitro infection but enhance pathology in vivo. Griffith Research Online (Griffith University, Queensland, Australia). 11 indexed citations
16.
Cunningham, Kelly, Alison J. Carey, Nils Lycke, Peter Timms, & Kenneth W. Beagley. (2009). CTA1-DD is an effective adjuvant for targeting anti-chlamydial immunity to the murine genital mucosa. QUT ePrints (Queensland University of Technology). 27 indexed citations
17.
Timms, Peter, et al.. (2008). Spatial constraints within the chlamydial host cell inclusion predict interrupted development and persistence. SHILAP Revista de lepidopterología. 29 indexed citations
18.
Borel, Nicole, Sanghamitra Mukhopadhyay, Carmen Kaiser, et al.. (2006). Tissue Microarray (TMA) Analysis of Normal And Persistent Chlamydophila Pneumoniae Infections. SHILAP Revista de lepidopterología. 13 indexed citations
19.
Rasmussen, S J & Peter Timms. (1991). Detection ofChlamydia psittaciusing DNA probes and the polymerase chain reaction. FEMS Microbiology Letters. 77(2-3). 169–174. 11 indexed citations
20.
Timms, Peter. (1988). Plasmids of Chlamydia psittaci: Cloning and comparison of isolates by Southern hybridisation. FEMS Microbiology Letters. 51(2-3). 119–123.

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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