Jeff Fuller
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
- Enterobacteriaceae and Cronobacter Research
Papers in
-
- Antifungal resistance and susceptibility 5
- Antimicrobial Resistance in Staphylococcus 1
-
- Fungal Infections and Studies 4
- Co-authors
- Gisele Peirano (1 shared paper)Joseph E. Rubin (1 shared paper)Johann Pitout (1 shared paper)Robert Rennie (3 shared papers)George Zahariadis (1 shared paper)Sallene Wong (1 shared paper)Kanti Pabbaraju (1 shared paper)Anita Wong (1 shared paper)
- Journals
- Journal of Clinical Microbiology (4 papers)Diagnostic Microbiology and Infectious Disease (1 paper)Microbial Drug Resistance (1 paper)Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques (1 paper)Transplantation (1 paper)
- Partner nations
- CanadaUnited StatesBangladesh
In The Last Decade
Jeff Fuller
13 papers receiving 271 citations
Peers
Comparison fields: 5 of 52
- Molecular Medicine 107
- Endocrinology 67
- Applied Microbiology and Biotechnology 20
- Infectious Diseases 118
- Clinical Biochemistry 39
Countries citing papers authored by Jeff Fuller
This map shows the geographic impact of Jeff Fuller'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 Jeff Fuller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Fuller more than expected).
Fields of papers citing papers by Jeff Fuller
This network shows the impact of papers produced by Jeff Fuller. 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 Jeff Fuller. The network helps show where Jeff Fuller may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Fuller, 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 | 2014 | 53 | |
| 2 | 2010 | 43 | |
| 3 | 2017 | 43 | |
| 4 | 2011 | 34 | |
| 5 | 2012 | 29 | |
| 6 | 2009 | 22 | |
| 7 | 2009 | 15 | |
| 8 | 2014 | 14 | |
| 9 | 2021 | 9 | |
| 10 | 2015 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2017 | 3 | |
| 13 | 2025 | 1 |
About Jeff Fuller
Jeff Fuller is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Molecular Medicine and Surgery, having authored 13 papers that have together received 273 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (5 papers), Fungal Infections and Studies (4 papers), Antibiotic Resistance in Bacteria (4 papers), Bacterial Identification and Susceptibility Testing (2 papers), Enterobacteriaceae and Cronobacter Research (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper) and Bacillus and Francisella bacterial research (1 paper). The work is most often cited by research in Molecular Medicine (107 citations), Endocrinology (67 citations), Applied Microbiology and Biotechnology (20 citations), Infectious Diseases (118 citations) and Clinical Biochemistry (39 citations). Jeff Fuller has collaborated with scholars based in Canada, United States and Bangladesh. Frequent co-authors include Gisele Peirano, Joseph E. Rubin, Johann Pitout, Robert Rennie, George Zahariadis, Sallene Wong, Kanti Pabbaraju, Anita Wong, Diane Roscoe and Michael R. Mulvey. Their work appears in journals such as Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, Microbial Drug Resistance, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques and Transplantation.
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.