Justin J. Donato

2.6k total citations · 1 hit paper
16 papers, 2.1k citations indexed

About

Justin J. Donato is a scholar working on Molecular Biology, Pollution and Molecular Medicine. According to data from OpenAlex, Justin J. Donato has authored 16 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Pollution and 5 papers in Molecular Medicine. Recurrent topics in Justin J. Donato's work include Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Antibiotic Resistance in Bacteria (5 papers) and Fungal and yeast genetics research (5 papers). Justin J. Donato is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Antibiotic Resistance in Bacteria (5 papers) and Fungal and yeast genetics research (5 papers). Justin J. Donato collaborates with scholars based in United States, Puerto Rico and Canada. Justin J. Donato's co-authors include Jo Handelsman, Heather K. Allen, Karen A. Cloud-Hansen, Julian Davies, Bik K. Tye, Patricia S. McManus, Michael J. Fitch, Brandon J. Converse, Luke A. Moe and T. R. Marsh and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Applied and Environmental Microbiology.

In The Last Decade

Justin J. Donato

16 papers receiving 2.0k citations

Hit Papers

Call of the wild: antibiotic resistance genes in natural ... 2010 2026 2015 2020 2010 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Justin J. Donato United States 9 1.2k 883 672 370 145 16 2.1k
Karen A. Cloud-Hansen United States 9 1.1k 1.0× 865 1.0× 566 0.8× 381 1.0× 175 1.2× 10 2.1k
Wenguang Xiong China 21 1.0k 0.8× 624 0.7× 560 0.8× 423 1.1× 154 1.1× 60 1.8k
Wilson W. L. Sung Canada 11 897 0.8× 849 1.0× 752 1.1× 425 1.1× 116 0.8× 15 2.2k
Erik Gullberg Sweden 6 1.0k 0.9× 869 1.0× 410 0.6× 235 0.6× 121 0.8× 8 1.8k
Thibault Stalder United States 17 823 0.7× 748 0.8× 473 0.7× 342 0.9× 101 0.7× 22 1.5k
Christian Munck Denmark 17 657 0.6× 825 0.9× 776 1.2× 375 1.0× 109 0.8× 24 1.9k
Elizabeth M. Selleck United States 12 830 0.7× 716 0.8× 755 1.1× 328 0.9× 147 1.0× 13 2.2k
Mariya Morar United States 11 961 0.8× 978 1.1× 1.0k 1.5× 466 1.3× 151 1.0× 16 2.6k
Gabriel G. Perron United States 20 541 0.5× 516 0.6× 781 1.2× 360 1.0× 166 1.1× 40 2.4k
Yongxue Sun China 20 955 0.8× 569 0.6× 350 0.5× 413 1.1× 137 0.9× 39 1.6k

Countries citing papers authored by Justin J. Donato

Since Specialization
Citations

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

Fields of papers citing papers by Justin J. Donato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin J. Donato. 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 Justin J. Donato. The network helps show where Justin J. Donato may publish in the future.

Co-authorship network of co-authors of Justin J. Donato

This figure shows the co-authorship network connecting the top 25 collaborators of Justin J. Donato. A scholar is included among the top collaborators of Justin J. Donato based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Justin J. Donato. Justin J. Donato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
2.
Donato, Justin J. & T. R. Marsh. (2023). Specifications Grading Is an Effective Approach to Teaching Biochemistry. Journal of Microbiology and Biology Education. 24(2). 14 indexed citations
3.
McGivern, Bridget B., et al.. (2021). Novel class 1 integron harboring antibiotic resistance genes in wastewater-derived bacteria as revealed by functional metagenomics. Plasmid. 114. 102563–102563. 4 indexed citations
4.
Zhao, Shaohua, et al.. (2020). Identification of a Novel Plasmid-Borne Gentamicin Resistance Gene in Nontyphoidal Salmonella Isolated from Retail Turkey. Antimicrobial Agents and Chemotherapy. 64(11). 6 indexed citations
5.
White, Robert J., et al.. (2015). ucFabV Requires Functional Reductase Activity to Confer Reduced Triclosan Susceptibility in <b><i>Escherichia coli</i></b>. Microbial Physiology. 25(6). 394–402. 1 indexed citations
6.
Shade, Ashley, Amy K. Klimowicz, Russell N. Spear, et al.. (2013). Streptomycin Application Has No Detectable Effect on Bacterial Community Structure in Apple Orchard Soil. Applied and Environmental Microbiology. 79(21). 6617–6625. 37 indexed citations
8.
Williamson, Lynn L., Karen A. Cloud-Hansen, Heather K. Allen, et al.. (2011). Summer Workshop in Metagenomics: One Week Plus Eight Students Equals Gigabases of Cloned DNA. Journal of Microbiology and Biology Education. 12(2). 120–126. 4 indexed citations
9.
Allen, Heather K., et al.. (2010). Call of the wild: antibiotic resistance genes in natural environments. Nature Reviews Microbiology. 8(4). 251–259. 1729 indexed citations breakdown →
10.
Donato, Justin J., et al.. (2010). Metagenomic Analysis of Apple Orchard Soil Reveals Antibiotic Resistance Genes Encoding Predicted Bifunctional Proteins. Applied and Environmental Microbiology. 76(13). 4396–4401. 114 indexed citations
11.
Keich, Uri, Hong Gao, Anand Bhaskar, et al.. (2008). Computational detection of significant variation in binding affinity across two sets of sequences with application to the analysis of replication origins in yeast. BMC Bioinformatics. 9(1). 372–372. 6 indexed citations
12.
Donato, Justin J., et al.. (2006). Genome-Wide Hierarchy of Replication Origin Usage in Saccharomyces cerevisiae. PLoS Genetics. 2(9). e141–e141. 29 indexed citations
13.
Donato, Justin J., et al.. (2005). Dual Roles for Mcm10 in DNA Replication Initiation and Silencing at the Mating-type Loci. Molecular Biology Reports. 32(4). 197–204. 15 indexed citations
14.
Donato, Justin J., et al.. (2004). Mcm1 Promotes Replication Initiation by Binding Specific Elements at Replication Origins. Molecular and Cellular Biology. 24(14). 6514–6524. 27 indexed citations
15.
Fitch, Michael J., et al.. (2003). Mcm1 Binds Replication Origins. Journal of Biological Chemistry. 278(8). 6093–6100. 29 indexed citations
16.
Fitch, Michael J., Justin J. Donato, & Bik K. Tye. (2003). Mcm7, a Subunit of the Presumptive MCM Helicase, Modulates Its Own Expression in Conjunction with Mcm1. Journal of Biological Chemistry. 278(28). 25408–25416. 40 indexed citations

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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