Tracy Prysliak

981 total citations
31 papers, 674 citations indexed

About

Tracy Prysliak is a scholar working on Microbiology, Immunology and Ecology. According to data from OpenAlex, Tracy Prysliak has authored 31 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Microbiology, 20 papers in Immunology and 9 papers in Ecology. Recurrent topics in Tracy Prysliak's work include Microbial infections and disease research (25 papers), Aquaculture disease management and microbiota (17 papers) and Bacteriophages and microbial interactions (9 papers). Tracy Prysliak is often cited by papers focused on Microbial infections and disease research (25 papers), Aquaculture disease management and microbiota (17 papers) and Bacteriophages and microbial interactions (9 papers). Tracy Prysliak collaborates with scholars based in Canada, France and Kenya. Tracy Prysliak's co-authors include José Perez‐Casal, Jacques van der Merwe, Musa Mulongo, Muhammad Suleman, Andrew Potter, Oudessa Kerro Dego, Scott Napper, Erin Scruten, Hugh G.G. Townsend and Volker Gerdts and has published in prestigious journals such as SHILAP Revista de lepidopterología, Infection and Immunity and Vaccine.

In The Last Decade

Tracy Prysliak

31 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracy Prysliak Canada 17 564 365 174 144 109 31 674
Paola Pilo Switzerland 19 657 1.2× 389 1.1× 294 1.7× 222 1.5× 108 1.0× 24 821
Hezron Wesonga Kenya 14 472 0.8× 202 0.6× 186 1.1× 198 1.4× 55 0.5× 41 551
Lucía Manso-Silván France 21 781 1.4× 381 1.0× 359 2.1× 275 1.9× 44 0.4× 39 892
Dušan Benčina Slovenia 21 770 1.4× 456 1.2× 111 0.6× 279 1.9× 33 0.3× 46 927
L. Stipkovits Hungary 12 477 0.8× 258 0.7× 132 0.8× 164 1.1× 44 0.4× 40 544
Daniele Dessì Italy 17 530 0.9× 235 0.6× 47 0.3× 195 1.4× 127 1.2× 26 780
Laurent‐Xavier Nouvel France 17 495 0.9× 280 0.8× 261 1.5× 129 0.9× 18 0.2× 30 670
Akira SAWATA Japan 20 744 1.3× 201 0.6× 160 0.9× 263 1.8× 68 0.6× 40 865
E. A. ter Laak Czechia 15 345 0.6× 131 0.4× 90 0.5× 173 1.2× 74 0.7× 29 567
Angela Maria Rocchigiani Italy 14 254 0.5× 130 0.4× 52 0.3× 91 0.6× 192 1.8× 27 512

Countries citing papers authored by Tracy Prysliak

Since Specialization
Citations

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

Fields of papers citing papers by Tracy Prysliak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tracy Prysliak

This figure shows the co-authorship network connecting the top 25 collaborators of Tracy Prysliak. A scholar is included among the top collaborators of Tracy Prysliak 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 Tracy Prysliak. Tracy Prysliak 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.
2.
Guo, Aizhen, Yingyu Chen, Inna Lysnyansky, et al.. (2022). A core genome multilocus sequence typing (cgMLST) analysis of Mycoplasma bovis isolates. Veterinary Microbiology. 273. 109532–109532. 7 indexed citations
3.
Malmuthuge, Nilusha, et al.. (2021). Effect of maternal separation and transportation stress on the bovine upper respiratory tract microbiome and the immune response to resident opportunistic pathogens. SHILAP Revista de lepidopterología. 3(1). 62–62. 9 indexed citations
4.
Prysliak, Tracy, et al.. (2021). Complete Genome Sequences of Four Canadian Mycoplasma bovis Strains Isolated from Bison and Cattle. Microbiology Resource Announcements. 10(17). 4 indexed citations
5.
Prysliak, Tracy, et al.. (2021). Phylogeny of Mycoplasma bovis isolates from cattle and bison based on multi locus sequence typing and multiple-locus variable-number tandem repeats. Veterinary Microbiology. 258. 109124–109124. 2 indexed citations
6.
Odongo, David, Arshad Mather, José Perez‐Casal, et al.. (2020). Baseline analysis of Mycoplasma mycoides subsp. mycoides antigens as targets for a DIVA assay for use with a subunit vaccine for contagious bovine pleuropneumonia. BMC Veterinary Research. 16(1). 236–236. 5 indexed citations
8.
Suleman, Muhammad, et al.. (2017). Effect of Mycoplasma bovis on bovine neutrophils. Veterinary Immunology and Immunopathology. 188. 27–33. 42 indexed citations
9.
Perez‐Casal, José, et al.. (2017). Status of the development of a vaccine against Mycoplasma bovis. Vaccine. 35(22). 2902–2907. 42 indexed citations
10.
Perez‐Casal, José, Tracy Prysliak, Hugh G.G. Townsend, et al.. (2016). Recombinant Mycoplasma mycoides proteins elicit protective immune responses against contagious bovine pleuropneumonia. Veterinary Immunology and Immunopathology. 171. 103–114. 18 indexed citations
11.
Perez‐Casal, José, Tracy Prysliak, Yejun Wang, et al.. (2015). Analysis of immune responses to recombinant proteins from strains of Mycoplasma mycoides subsp. mycoides, the causative agent of contagious bovine pleuropneumonia. Veterinary Immunology and Immunopathology. 168(1-2). 103–110. 10 indexed citations
13.
Prysliak, Tracy, Jacques van der Merwe, & José Perez‐Casal. (2012). Vaccination with recombinant Mycoplasma bovis GAPDH results in a strong humoral immune response but does not protect feedlot cattle from an experimental challenge with M. bovis. Microbial Pathogenesis. 55. 1–8. 34 indexed citations
14.
Dego, Oudessa Kerro, Tracy Prysliak, José Perez‐Casal, & Andrew Potter. (2011). Role of GapC in the pathogenesis of Staphylococcus aureus. Veterinary Microbiology. 156(3-4). 443–447. 17 indexed citations
15.
Prysliak, Tracy, et al.. (2011). Respiratory disease caused by Mycoplasma bovis is enhanced by exposure to bovine herpes virus 1 (BHV-1) but not to bovine viral diarrhea virus (BVDV) type 2.. PubMed. 52(11). 1195–202. 40 indexed citations
16.
Merwe, Jacques van der, Tracy Prysliak, Volker Gerdts, & José Perez‐Casal. (2011). Protein chimeras containing the Mycoplasma bovis GAPDH protein and bovine host-defence peptides retain the properties of the individual components. Microbial Pathogenesis. 50(6). 269–277. 17 indexed citations
17.
Perez‐Casal, José & Tracy Prysliak. (2007). Detection of antibodies against the Mycoplasma bovis glyceraldehyde-3-phosphate dehydrogenase protein in beef cattle. Microbial Pathogenesis. 43(5-6). 189–197. 42 indexed citations
18.
Dego, Oudessa Kerro, Tracy Prysliak, Andrew Potter, & José Perez‐Casal. (2006). DNA–protein immunization against the GapB and GapC proteins of a mastitis isolate of Staphylococcus aureus. Veterinary Immunology and Immunopathology. 113(1-2). 125–138. 25 indexed citations
19.
Amoako, Kingsley K., Tracy Prysliak, Andrew Potter, et al.. (2004). Attenuation of an Avian Pathogenic Escherichia coli Strain Due to a Mutation in the rpsL Gene. Avian Diseases. 48(1). 19–25. 11 indexed citations
20.
Perez‐Casal, José, Tracy Prysliak, & Andrew Potter. (2003). A GapC chimera retains the properties of the Streptococcus uberis wild-type GapC protein. Protein Expression and Purification. 33(2). 288–296. 17 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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