Jeff Fuller

557 citations
18 papers · 448 · h-index 11

Impact in

Papers in

Jeff Fuller

17 papers receiving 443 citations

Peers

Jeff Fuller
Comparison fields: 5 of 37
  • Molecular Medicine 149
  • Infectious Diseases 186
  • Applied Microbiology and Biotechnology 7
  • Clinical Biochemistry 14
  • Epidemiology 75
Replace Simeng Duan with:
Simeng Duan China
Rachel D Yelin United States
Thelma E Dangana United States
Vladimir Gostev Russia
Juan Manuel Hernández-Molina Spain
Cibele Massotti Magagnin Brazil
Charlie K. Higgs Australia
Maria Siopi Greece
Nelly Daniela Zurita Spain
Grace Ngan Singapore
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Citations per field
00.5×5×10.3×
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Citations per year

Countries citing papers authored by Jeff Fuller

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jeff Fuller Line = papers co-authored together Jeff Fuller links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201959
2 201454
3 201051
4 201748
5 202347
6 201937
7 201136
8 201235
9 200924
10 200917
11 201417
12 20219
13 20154
14 20174
15 20193
16 20252
17 20251
18 20250

About Jeff Fuller

Jeff Fuller is a scholar working on Infectious Diseases, Molecular Medicine, Epidemiology, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 18 papers that have together received 448 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (7 papers), Antibiotic Resistance in Bacteria (5 papers), Fungal Infections and Studies (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Cervical Cancer and HPV Research (1 paper), Prion Diseases and Protein Misfolding (1 paper), Bacterial Identification and Susceptibility Testing (1 paper) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Molecular Medicine (149 citations), Infectious Diseases (186 citations), Applied Microbiology and Biotechnology (7 citations), Clinical Biochemistry (14 citations) and Epidemiology (75 citations). Jeff Fuller has collaborated with scholars based in Canada and Switzerland. Frequent co-authors include Johann D D Pitout, Gisele Peirano, Joseph Elliot Rubin, Robert P. Rennie, George Zahariadis, Kanti Pabbaraju, Sallene Wong, Anita A. Wong, Gerald A. Evans and Michél Laverdière. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Antimicrobial Chemotherapy, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Diagnostic Microbiology and Infectious Disease and Microbial Drug Resistance.

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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