Mark Pryjma

428 total citations
8 papers, 339 citations indexed

About

Mark Pryjma is a scholar working on Infectious Diseases, Food Science and Endocrinology. According to data from OpenAlex, Mark Pryjma has authored 8 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Food Science and 3 papers in Endocrinology. Recurrent topics in Mark Pryjma's work include Salmonella and Campylobacter epidemiology (5 papers), Viral gastroenteritis research and epidemiology (2 papers) and Tuberculosis Research and Epidemiology (2 papers). Mark Pryjma is often cited by papers focused on Salmonella and Campylobacter epidemiology (5 papers), Viral gastroenteritis research and epidemiology (2 papers) and Tuberculosis Research and Epidemiology (2 papers). Mark Pryjma collaborates with scholars based in Canada, United States and United Kingdom. Mark Pryjma's co-authors include Erin C. Gaynor, Sarah L. Svensson, Charles J. Thompson, Ján Burian, Emilisa Frirdich, Jianjun Li, Andrew D. S. Cameron, Michel Gilbert, Mizue Naito and Joshua A. Fields and has published in prestigious journals such as PLoS ONE, Journal of Bacteriology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Mark Pryjma

8 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Pryjma Canada	7	163	141	100	90	81	8	339
María Lorenzo United States	7	193 1.2×	122 0.9×	134 1.3×	21 0.2×	83 1.0×	7	425
Peter Schwerk Germany	8	201 1.2×	94 0.7×	119 1.2×	20 0.2×	58 0.7×	11	357
Zuchao Ma United States	11	111 0.7×	231 1.6×	108 1.1×	109 1.2×	48 0.6×	29	460
Helen Tabor Canada	12	237 1.5×	149 1.1×	74 0.7×	74 0.8×	205 2.5×	17	477
Lorelee Tschetter Canada	9	141 0.9×	196 1.4×	112 1.1×	230 2.6×	105 1.3×	15	501
Jean-Luc Guesdon France	8	73 0.4×	113 0.8×	136 1.4×	75 0.8×	26 0.3×	10	314
Diana Laverde Germany	12	43 0.3×	163 1.2×	159 1.6×	79 0.9×	44 0.5×	19	374
Joseph J. Wanford United Kingdom	11	64 0.4×	63 0.4×	90 0.9×	110 1.2×	33 0.4×	19	329
Pierre-Emmanuel Douarre France	11	76 0.5×	67 0.5×	111 1.1×	109 1.2×	35 0.4×	17	301
Pardeep Kumar United States	7	70 0.4×	171 1.2×	98 1.0×	55 0.6×	188 2.3×	11	336

Countries citing papers authored by Mark Pryjma

Since Specialization

Citations

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

Fields of papers citing papers by Mark Pryjma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Pryjma

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

All Works

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8 of 8 papers shown

Jackson, John K., et al.. (2024). Combinations of Cannabinoids with Silver Salts or Silver Nanoparticles for Synergistic Antibiotic Effects against Methicillin-Resistant Staphylococcus aureus. Antibiotics. 13(6). 473–473. 3 indexed citations

Frirdich, Emilisa, Jacob Biboy, Mark Pryjma, et al.. (2019). The Campylobacter jejuni helical to coccoid transition involves changes to peptidoglycan and the ability to elicit an immune response. Molecular Microbiology. 112(1). 280–301. 26 indexed citations

Pryjma, Mark, Ján Burian, & Charles J. Thompson. (2018). Rifabutin Acts in Synergy and Is Bactericidal with Frontline Mycobacterium abscessus Antibiotics Clarithromycin and Tigecycline, Suggesting a Potent Treatment Combination. Antimicrobial Agents and Chemotherapy. 62(8). 37 indexed citations

Pryjma, Mark, et al.. (2017). Antagonism between Front-Line Antibiotics Clarithromycin and Amikacin in the Treatment of Mycobacterium abscessus Infections Is Mediated by the whiB7 Gene. Antimicrobial Agents and Chemotherapy. 61(11). 48 indexed citations

Svensson, Sarah L., Mark Pryjma, & Erin C. Gaynor. (2014). Flagella-Mediated Adhesion and Extracellular DNA Release Contribute to Biofilm Formation and Stress Tolerance of Campylobacter jejuni. PLoS ONE. 9(8). e106063–e106063. 95 indexed citations

Pryjma, Mark, et al.. (2012). FdhTU-Modulated Formate Dehydrogenase Expression and Electron Donor Availability Enhance Recovery ofCampylobacter jejunifollowing Host Cell Infection. Journal of Bacteriology. 194(15). 3803–3813. 22 indexed citations

Ellermeier, Jeremy R., et al.. (2012). Characterization of Campylobacter jejuni RacRS Reveals Roles in the Heat Shock Response, Motility, and Maintenance of Cell Length Homogeneity. Journal of Bacteriology. 194(9). 2342–2354. 20 indexed citations

Naito, Mizue, Emilisa Frirdich, Joshua A. Fields, et al.. (2010). Effects of SequentialCampylobacter jejuni81-176 Lipooligosaccharide Core Truncations on Biofilm Formation, Stress Survival, and Pathogenesis. Journal of Bacteriology. 192(8). 2182–2192. 88 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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