Jay Bergeron

939 total citations
9 papers, 509 citations indexed

About

Jay Bergeron is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Microbiology. According to data from OpenAlex, Jay Bergeron has authored 9 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Microbiology. Recurrent topics in Jay Bergeron's work include Antimicrobial Resistance in Staphylococcus (3 papers), Streptococcal Infections and Treatments (2 papers) and Microbial infections and disease research (2 papers). Jay Bergeron is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (3 papers), Streptococcal Infections and Treatments (2 papers) and Microbial infections and disease research (2 papers). Jay Bergeron collaborates with scholars based in United States. Jay Bergeron's co-authors include James A. Retsema, Joanna Clancy, Wei Yuan, J.W. Petitpas, Ajith V. Kamath, Fadia B. Dib-Hajj, D Girard, William B. Milisen, Mark Ammirati and L James and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Molecular Microbiology and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Jay Bergeron

9 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay Bergeron United States 6 227 220 178 152 106 9 509
Claudia Zampaloni Switzerland 13 172 0.8× 113 0.5× 168 0.9× 119 0.8× 103 1.0× 22 463
J.W. Petitpas United States 8 292 1.3× 350 1.6× 164 0.9× 211 1.4× 82 0.8× 8 668
T. Fosse France 15 93 0.4× 155 0.7× 200 1.1× 82 0.5× 63 0.6× 32 564
Sara Kaufman Argentina 13 195 0.9× 180 0.8× 128 0.7× 86 0.6× 46 0.4× 39 483
Jacques Vouillamoz Switzerland 14 373 1.6× 290 1.3× 97 0.5× 130 0.9× 109 1.0× 24 577
Dag Harald Skutlaberg Norway 12 142 0.6× 105 0.5× 193 1.1× 73 0.5× 38 0.4× 22 428
Constantin Hays France 13 99 0.4× 169 0.8× 119 0.7× 158 1.0× 33 0.3× 16 457
Bonifacio Dewasse United States 14 235 1.0× 367 1.7× 264 1.5× 38 0.3× 273 2.6× 21 678
Pia Littauer Denmark 11 158 0.7× 141 0.6× 192 1.1× 77 0.5× 29 0.3× 15 429
M A Edelstein United States 18 177 0.8× 354 1.6× 302 1.7× 53 0.3× 215 2.0× 36 1.0k

Countries citing papers authored by Jay Bergeron

Since Specialization
Citations

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

Fields of papers citing papers by Jay Bergeron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Bergeron

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

All Works

9 of 9 papers shown
1.
Bergeron, Jay, et al.. (2020). Simulating patient matching to clinical trials using a property rights blockchain. 6(1). 44–52. 1 indexed citations
2.
Butler, Paul, Winston Evering, Noël Dybdal, et al.. (2017). PredicTox: A Systems Pharmacology Project to Examine Cardiotoxicity Associated with Tyrosine Kinase Inhibitors. Journal of Pharmacological and Toxicological Methods. 88. 211–211. 1 indexed citations
3.
Shrikhande, Alka, et al.. (2002). Fully Automated Radioligand Binding Filtration Assay for Membrane-Bound Receptors. BioTechniques. 33(4). 932–937. 1 indexed citations
4.
Silvia, Annette M., John P. Dirlam, Rodney C. Schnur, et al.. (1999). In Vitro Microbiological Characterization of Novel Cyclic Homopentapeptides, CP-101,680 and CP-163,234, for Animal Health Use.. The Journal of Antibiotics. 52(11). 1007–1016. 5 indexed citations
5.
Seibel, Scott B., Barbara J. Kamicker, Scott J. Hecker, et al.. (1998). In Vitro Microbiological Characterization of Novel Macrolide CP-163,505 for Animal Health Specific Use.. The Journal of Antibiotics. 51(2). 136–144. 7 indexed citations
6.
Clancy, Joanna, J.W. Petitpas, Fadia B. Dib-Hajj, et al.. (1996). Molecular cloning and functional analysis of a novel macrolide‐resistance determinant, mefA, from Streptococcus pyogenes. Molecular Microbiology. 22(5). 867–879. 312 indexed citations
7.
Bergeron, Jay, Mark Ammirati, Dennis E. Danley, et al.. (1996). Glycylcyclines bind to the high-affinity tetracycline ribosomal binding site and evade Tet(M)- and Tet(O)-mediated ribosomal protection. Antimicrobial Agents and Chemotherapy. 40(9). 2226–2228. 112 indexed citations
8.
Girard, D, Jay Bergeron, William B. Milisen, & James A. Retsema. (1993). Comparison of azithromycin, roxithromycin, and cephalexin penetration kinetics in early and mature abscesses. Journal of Antimicrobial Chemotherapy. 31(suppl E). 17–28. 18 indexed citations
9.
Retsema, James A., Jay Bergeron, D Girard, William B. Milisen, & Agnès Girard. (1993). Preferential concentration of azithromycin in an infected mouse thigh model. Journal of Antimicrobial Chemotherapy. 31(suppl E). 5–16. 52 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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2026