JAY M. BERGERON
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Health Information Management top 10%
- Electronic Health Records Systems
- Artificial Intelligence in Healthcare
Papers in
-
- Antimicrobial Peptides and Activities 1
- Microbial infections and disease research 1
-
- Antibiotics Pharmacokinetics and Efficacy 2
- Co-authors
- James A. Retsema (6 shared papers)Joan W. Petitpas (1 shared paper)Wei Yuan (1 shared paper)Melissa T. Cronan (1 shared paper)Fadia B. Dib-Hajj (1 shared paper)Joanna Clancy (1 shared paper)Ajith V. Kamath (1 shared paper)William B. Milisen (2 shared papers)
- Journals
- The Journal of Antibiotics (2 papers)Journal of Antimicrobial Chemotherapy (2 papers)BioTechniques (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Molecular Microbiology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
JAY M. BERGERON
10 papers receiving 701 citations
Peers
Comparison fields: 5 of 59
- Molecular Medicine 122
- Health Information Management 27
- Pharmacology 56
- Health Informatics 5
- Public Health, Environmental and Occupational Health 71
Countries citing papers authored by JAY M. BERGERON
This map shows the geographic impact of JAY M. 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 M. 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 M. BERGERON more than expected).
Fields of papers citing papers by JAY M. BERGERON
This network shows the impact of papers produced by JAY M. 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 M. BERGERON. The network helps show where JAY M. BERGERON may publish in the future.
Co-authors
The 25 scholars most cited alongside JAY M. BERGERON, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 332 | |
| 2 | 2016 | 226 | |
| 3 | 1996 | 123 | |
| 4 | 1993 | 51 | |
| 5 | 1993 | 19 | |
| 6 | 1998 | 8 | |
| 7 | 1999 | 5 | |
| 8 | 2020 | 2 | |
| 9 | 2002 | 1 | |
| 10 | 2017 | 1 |
About JAY M. BERGERON
JAY M. BERGERON is a scholar working on Microbiology, Pharmacology, Molecular Medicine, Information Systems and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 768 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (2 papers), Antimicrobial Peptides and Activities (1 paper), RNA and protein synthesis mechanisms (1 paper), Receptor Mechanisms and Signaling (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper), Antibiotic Resistance in Bacteria (1 paper), Microbial infections and disease research (1 paper) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Molecular Medicine (122 citations), Health Information Management (27 citations), Pharmacology (56 citations), Health Informatics (5 citations) and Public Health, Environmental and Occupational Health (71 citations). JAY M. BERGERON has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James A. Retsema, Joan W. Petitpas, Wei Yuan, Melissa T. Cronan, Fadia B. Dib-Hajj, Joanna Clancy, Ajith V. Kamath, William B. Milisen, DENNIS GIRARD and Mark J. Ammirati. Their work appears in journals such as The Journal of Antibiotics, Journal of Antimicrobial Chemotherapy, BioTechniques, Antimicrobial Agents and Chemotherapy and Molecular Microbiology.
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.