Jeff Froula

4.9k total citations · 1 hit paper
11 papers, 2.1k citations indexed

About

Jeff Froula is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Jeff Froula has authored 11 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Ecology. Recurrent topics in Jeff Froula's work include Genomics and Phylogenetic Studies (5 papers), CRISPR and Genetic Engineering (3 papers) and Chromosomal and Genetic Variations (3 papers). Jeff Froula is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), CRISPR and Genetic Engineering (3 papers) and Chromosomal and Genetic Variations (3 papers). Jeff Froula collaborates with scholars based in United States, New Zealand and Sweden. Jeff Froula's co-authors include Dongwan Kang, Zhong Wang, Rob Egan, Edward M. Rubin, Rex R. Malmstrom, Janine Kamke, Priya Soni, Yang Li, Graeme T. Attwood and Weibing Shi and has published in prestigious journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy and PLoS Genetics.

In The Last Decade

Jeff Froula

11 papers receiving 2.0k citations

Hit Papers

MetaBAT, an efficient too... 2015 2026 2018 2022 2015 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jeff Froula 1.2k 936 296 223 196 11 2.1k
Lindsey Solden 900 0.7× 1000 1.1× 263 0.9× 142 0.6× 154 0.8× 21 1.9k
Johannes Alneberg 1.5k 1.2× 1.4k 1.4× 415 1.4× 293 1.3× 74 0.4× 18 2.4k
Marc Auffret 787 0.6× 584 0.6× 182 0.6× 178 0.8× 640 3.3× 29 2.1k
Michael Kubal 1.7k 1.3× 1.4k 1.5× 246 0.8× 331 1.5× 59 0.3× 4 2.8k
Pierre Peyret 1.9k 1.5× 961 1.0× 457 1.5× 309 1.4× 132 0.7× 91 3.9k
M. D'Souza 1.6k 1.3× 1.4k 1.5× 246 0.8× 332 1.5× 59 0.3× 6 2.8k
Edward Kirton 1.9k 1.5× 1.5k 1.6× 372 1.3× 437 2.0× 67 0.3× 7 3.2k
Olga Chertkov 941 0.8× 587 0.6× 129 0.4× 181 0.8× 69 0.4× 41 1.9k
Aurélie Lajus 1.1k 0.9× 539 0.6× 252 0.9× 196 0.9× 43 0.2× 26 2.2k
Éric Peyretaillade 720 0.6× 306 0.3× 112 0.4× 139 0.6× 113 0.6× 31 1.3k

Countries citing papers authored by Jeff Froula

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Froula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Froula

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Froula. A scholar is included among the top collaborators of Jeff Froula 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 Jeff Froula. Jeff Froula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Peng, Ze, Nandita Nath, Zhiying Zhao, et al.. (2017). Preparing Mate-Paired Illumina Libraries Using Cre Recombinase. Methods in molecular biology. 1642. 247–261. 2 indexed citations
2.
Peng, Ze, Jeff Froula, & Jan‐Fang Cheng. (2017). Preparing Fosmid Mate-Paired Libraries Using Cre-LoxP Recombination. Methods in molecular biology. 1642. 263–284. 1 indexed citations
3.
Kamke, Janine, Priya Soni, Yang Li, et al.. (2017). Gene and transcript abundances of bacterial type III secretion systems from the rumen microbiome are correlated with methane yield in sheep. BMC Research Notes. 10(1). 367–367. 9 indexed citations
4.
Bendall, Matthew L., Sarah Stevens, Stephanie Malfatti, et al.. (2016). Genome-wide selective sweeps and gene-specific sweeps in natural bacterial populations. The ISME Journal. 10(7). 1589–1601. 160 indexed citations
5.
Blow, Matthew J., Tyson A. Clark, Chris Daum, et al.. (2016). The Epigenomic Landscape of Prokaryotes. PLoS Genetics. 12(2). e1005854–e1005854. 256 indexed citations
6.
Kamke, Janine, Sandra Kittelmann, Priya Soni, et al.. (2016). Rumen metagenome and metatranscriptome analyses of low methane yield sheep reveals a Sharpea-enriched microbiome characterised by lactic acid formation and utilisation. Microbiome. 4(1). 56–56. 224 indexed citations
7.
Kang, Dongwan, Jeff Froula, Rob Egan, & Zhong Wang. (2015). MetaBAT, an efficient tool for accurately reconstructing single genomes from complex microbial communities. PeerJ. 3. e1165–e1165. 1274 indexed citations breakdown →
8.
Piao, Hailan, Jeff Froula, Changbin Du, et al.. (2014). Identification of novel biomass‐degrading enzymes from genomic dark matter: Populating genomic sequence space with functional annotation. Biotechnology and Bioengineering. 111(8). 1550–1565. 20 indexed citations
9.
Peng, Ze, Zhiying Zhao, Nandita Nath, et al.. (2012). Generation of Long Insert Pairs Using a Cre-LoxP Inverse PCR Approach. PLoS ONE. 7(1). e29437–e29437. 24 indexed citations
10.
Nau, Roland, et al.. (1995). Quinolone antibiotics in therapy of experimental pneumococcal meningitis in rabbits. Antimicrobial Agents and Chemotherapy. 39(3). 593–597. 70 indexed citations
11.
Froula, Jeff, et al.. (1993). Clarithromycin lacks bactericidal activity in cerebrospinal fluid in experimental pneumococcal meningitis. Journal of Antimicrobial Chemotherapy. 32(4). 627–632. 18 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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