Will Rowe

1.2k total citations
15 papers, 544 citations indexed

About

Will Rowe is a scholar working on Molecular Biology, Ecology and Molecular Medicine. According to data from OpenAlex, Will Rowe has authored 15 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Ecology and 4 papers in Molecular Medicine. Recurrent topics in Will Rowe's work include Salmonella and Campylobacter epidemiology (4 papers), Bacteriophages and microbial interactions (4 papers) and Antibiotic Resistance in Bacteria (4 papers). Will Rowe is often cited by papers focused on Salmonella and Campylobacter epidemiology (4 papers), Bacteriophages and microbial interactions (4 papers) and Antibiotic Resistance in Bacteria (4 papers). Will Rowe collaborates with scholars based in United Kingdom, United States and Switzerland. Will Rowe's co-authors include Martyn Winn, David W. Verner–Jeffreys, Jim J. Ryan, Duncan J. Maskell, Craig Baker‐Austin, GR Pearce, Christianne Micallef, Jay C. D. Hinton, Anna Paola Carrieri and Edward O. Pyzer‐Knapp and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Will Rowe

15 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Will Rowe United Kingdom	14	233	156	144	116	112	15	544
Baobao Liu China	12	191 0.8×	79 0.5×	51 0.4×	70 0.6×	34 0.3×	37	491
Christopher Dean United States	7	283 1.2×	114 0.7×	108 0.8×	74 0.6×	91 0.8×	12	532
Meagan Hamblin United States	7	317 1.4×	129 0.8×	42 0.3×	71 0.6×	40 0.4×	11	583
Yuqi Yang China	15	105 0.5×	113 0.7×	55 0.4×	89 0.8×	42 0.4×	45	706
Huiguang Yi China	13	226 1.0×	141 0.9×	43 0.3×	25 0.2×	61 0.5×	18	465
Hongbin Chen China	11	112 0.5×	313 2.0×	90 0.6×	30 0.3×	25 0.2×	23	491
Karel Břinda United States	9	206 0.9×	177 1.1×	121 0.8×	29 0.3×	117 1.0×	19	469
Kim Judge United Kingdom	8	365 1.6×	261 1.7×	56 0.4×	311 2.7×	101 0.9×	12	929
Hervé Le Nagard France	14	507 2.2×	363 2.3×	111 0.8×	101 0.9×	131 1.2×	15	1.2k
Hebing Liu China	13	115 0.5×	189 1.2×	87 0.6×	53 0.5×	25 0.2×	27	467

Countries citing papers authored by Will Rowe

Since Specialization

Citations

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

Fields of papers citing papers by Will Rowe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Will Rowe

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

All Works

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15 of 15 papers shown

Carrieri, Anna Paola, Niina Haiminen, Laura‐Jayne Gardiner, et al.. (2021). Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences. Scientific Reports. 11(1). 4565–4565. 64 indexed citations

Rowe, Will, et al.. (2021). Genome-Wide Identification and Expression Analysis of SOS Response Genes in Salmonella enterica Serovar Typhimurium. Cells. 10(4). 943–943. 13 indexed citations

Canals, Rocı́o, Disa L. Hammarlöf, Carsten Kröger, et al.. (2019). Adding function to the genome of African Salmonella Typhimurium ST313 strain D23580. PLoS Biology. 17(1). e3000059–e3000059. 54 indexed citations

Rowe, Will, Anna Paola Carrieri, Cristina Alcon‐Giner, et al.. (2019). Streaming histogram sketching for rapid microbiome analytics. Microbiome. 7(1). 40–40. 15 indexed citations

Pulford, Caisey V., Nicolas Wenner, Ella V. Rodwell, et al.. (2019). The diversity, evolution and ecology of Salmonella in venomous snakes. PLoS neglected tropical diseases. 13(6). e0007169–e0007169. 16 indexed citations

Rowe, Will. (2019). When the levee breaks: a practical guide to sketching algorithms for processing the flood of genomic data. Genome biology. 20(1). 199–199. 20 indexed citations

Carrieri, Anna Paola, Will Rowe, Martyn Winn, & Edward O. Pyzer‐Knapp. (2019). A Fast Machine Learning Workflow for Rapid Phenotype Prediction from Whole Shotgun Metagenomes. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 9434–9439. 8 indexed citations

Rowe, Will & Martyn Winn. (2018). Indexed variation graphs for efficient and accurate resistome profiling. Bioinformatics. 34(21). 3601–3608. 43 indexed citations

Rowe, Will, Craig Baker‐Austin, David W. Verner–Jeffreys, et al.. (2017). Overexpression of antibiotic resistance genes in hospital effluents over time. Journal of Antimicrobial Chemotherapy. 72(6). 1617–1623. 93 indexed citations

10.

Verner–Jeffreys, David W., David Ryder, Roderick M. Card, et al.. (2017). Detection of the florfenicol resistance gene floR in Chryseobacterium isolates from rainbow trout. Exception to the general rule?. FEMS Microbiology Ecology. 93(4). 19 indexed citations

11.

Ashton, Philip, Siân V. Owen, Lukeki Kaindama, et al.. (2017). Public health surveillance in the UK revolutionises our understanding of the invasive Salmonella Typhimurium epidemic in Africa. Genome Medicine. 9(1). 92–92. 53 indexed citations

12.

Leggett, Richard M., Will Rowe, Ricardo H. Ramírez-González, et al.. (2015). Host Subtraction, Filtering and Assembly Validations for Novel Viral Discovery Using Next Generation Sequencing Data. PLoS ONE. 10(6). e0129059–e0129059. 23 indexed citations

13.

Rowe, Will, Kate S. Baker, David W. Verner–Jeffreys, et al.. (2015). Search Engine for Antimicrobial Resistance: A Cloud Compatible Pipeline and Web Interface for Rapidly Detecting Antimicrobial Resistance Genes Directly from Sequence Data. PLoS ONE. 10(7). e0133492–e0133492. 43 indexed citations

14.

Rowe, Will, David W. Verner–Jeffreys, Craig Baker‐Austin, et al.. (2015). Comparative metagenomics reveals a diverse range of antimicrobial resistance genes in effluents entering a river catchment. Water Science & Technology. 73(7). 1541–1549. 43 indexed citations

15.

Al‐Balool, Haya H., David Weber, Yilei Liu, et al.. (2011). Post-transcriptional exon shuffling events in humans can be evolutionarily conserved and abundant. Genome Research. 21(11). 1788–1799. 37 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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