Jeff Becker

1k citations
9 papers · 887 · h-index 8

Impact in

    • Antifungal resistance and susceptibility
    • Fungal and yeast genetics research
    • Bioinformatics and Genomic Networks
    • Genomics and Phylogenetic Studies

Papers in

    • Antifungal resistance and susceptibility 5
    • Fungal and yeast genetics research 4
    • Receptor Mechanisms and Signaling 3
    • Protein Structure and Dynamics 2
    • Biochemical and Molecular Research 1

Jeff Becker

9 papers receiving 862 citations

Peers

Jeff Becker
Comparison fields: 5 of 32
  • Infectious Diseases 265
  • Molecular Biology 606
  • Pharmacology 69
  • Computational Theory and Mathematics 49
  • Cell Biology 19
Replace James E. Curotto with:
James E. Curotto United States
Sladjana Prišić United States
Matthew Peterson United States
Ingo Bauer Austria
Quanzhen Lv China
Christina Spry Australia
Iwona Gabriel Poland
Caroline Mota Fernandes United States
Anastasia Levitin United States
Juliane Macheleidt Germany
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Citations per field
00.5×2×3×4.1×
James E. Curotto · 1×
Citations per year

Countries citing papers authored by Jeff Becker

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeff Becker, 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 Becker Line = papers co-authored together Jeff Becker links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2003438
2 2007208
3 200872
4 200770
5 200540
6 200728
7 200919
8 20148
9 20064

About Jeff Becker

Jeff Becker is a scholar working on Infectious Diseases, Molecular Biology, Pharmacology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 887 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (5 papers), Fungal and yeast genetics research (4 papers), Receptor Mechanisms and Signaling (3 papers), Protein Structure and Dynamics (2 papers), Biochemical and Molecular Research (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Infectious Diseases (265 citations), Molecular Biology (606 citations), Pharmacology (69 citations), Computational Theory and Mathematics (49 citations) and Cell Biology (19 citations). Jeff Becker has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Sarah Kauffman, Bo Jiang, Sébastien Lemieux, Susan Sillaots, Terry Roemer, Reginald K. Storms, Troy Ketela, Steeve Véronneau, Howard Bussey and Charles M. Boone. Their work appears in journals such as Biophysical Journal, Infection and Immunity, PLoS Pathogens, Biopolymers and 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.

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