Tucker Maxson

963 citations
13 papers · 719 · 1 hit paper · h-index 11

Impact in

    • Microbial Natural Products and Biosynthesis
    • Antimicrobial Peptides and Activities

Papers in

Tucker Maxson

13 papers receiving 717 citations

Tucker Maxson's Hit Papers

A new genome-mining tool redefines the lasso peptide biosynthetic landscape 2017 · 365 citations
3650+3+6Years since publication100200300

Peers

Tucker Maxson
Comparison fields: 5 of 78
  • Pharmacology 322
  • Microbiology 83
  • Molecular Medicine 46
  • Biotechnology 75
  • Clinical Biochemistry 54
Replace Cristina Brunati with:
Cristina Brunati Italy
Catherine Leimkuhler United States
Christopher R. Vickery United States
Xuefu You China
Luciano Gastaldo Italy
Eileen Lenoy United States
Walter M. Bray United States
Heriberto Rivera United States
Deming Xu Canada
Letizia Brandi Italy
Tucker Maxson relative to Cristina Brunati Italy Cristina Brunati's profile →
Citations per field
00.5×1.5×2.4×
Cristina Brunati · 1×
Citations per year

Countries citing papers authored by Tucker Maxson

Since Specialization
Citations

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

Fields of papers citing papers by Tucker Maxson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
A new genome-mining tool redefines the lasso peptide biosynthetic landscape
Hit paper breakdown →
2017365
2 201586
3 201051
4 201542
5 201640
6 201727
7 198926
8 201022
9 201520
10 201515
11 201814
12 202210
13 20241

About Tucker Maxson

Tucker Maxson is a scholar working on Molecular Biology, Infectious Diseases, Ecology, Molecular Medicine and Clinical Biochemistry, having authored 13 papers that have together received 719 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (4 papers), Antibiotic Resistance in Bacteria (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Bacillus and Francisella bacterial research (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Biochemical and Structural Characterization (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Pharmacology (322 citations), Microbiology (83 citations), Molecular Medicine (46 citations), Biotechnology (75 citations) and Clinical Biochemistry (54 citations). Tucker Maxson has collaborated with scholars based in United States. Frequent co-authors include Douglas A. Mitchell, Jonathan I. Tietz, Uzma I. Zakai, Parth Patel, Christopher J. Schwalen, Patricia M. Blair, Yitzhak Tor, Yun Xie, Timothy D. Minogue and Richard J. Colonno. Their work appears in journals such as Journal of the American Chemical Society, PLoS ONE, Clinical Infectious Diseases, BMC Microbiology and Tetrahedron.

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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