Ben J. Ward

1.3k total citations
10 papers, 360 citations indexed

About

Ben J. Ward is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Ben J. Ward has authored 10 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Ben J. Ward's work include Genetic diversity and population structure (3 papers), Plant Pathogens and Resistance (3 papers) and Plant Disease Resistance and Genetics (3 papers). Ben J. Ward is often cited by papers focused on Genetic diversity and population structure (3 papers), Plant Pathogens and Resistance (3 papers) and Plant Disease Resistance and Genetics (3 papers). Ben J. Ward collaborates with scholars based in United Kingdom, Canada and Denmark. Ben J. Ward's co-authors include Cock van Oosterhout, Jonathan D. G. Jones, Paul Bentzen, Ian Bradbury, Jackie Lighten, Johanna Nader, Thomas C. Mathers, Martin Swain, Justin A. Pachebat and Paul Hunter and has published in prestigious journals such as Nature Communications, Bioinformatics and New Phytologist.

In The Last Decade

Ben J. Ward

10 papers receiving 359 citations

Peers

Ben J. Ward

PS

PARAS

MB

CB

ID

Clémence Genthon France

JM Fregeneda-Grandes Spain

Jillian M. Myers United States

Masao Murata Japan

Jessica L. Waite United States

Roberto Márquez United States

Haifeng Tian China

Jullie M. Sarmiento-Ramírez Spain

Marie-Claude Leclerc France

Tiffany A. Kosch Australia

Clémence Genthon France

Ben J. Ward

121 ×0.8

PS

78 ×0.9

PARAS

107 ×1.5

MB

21 ×0.4

CB

14 ×0.2

ID

Citations per year, relative to Ben J. Ward Ben J. Ward (= 1×) peers Clémence Genthon

Countries citing papers authored by Ben J. Ward

Since Specialization

Citations

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

Fields of papers citing papers by Ben J. Ward

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben J. Ward

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

All Works

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10 of 10 papers shown

1.

Hill, Rowena, Daniel Major‐Smith, Gail Canning, et al.. (2025). Evolutionary genomics reveals variation in structure and genetic content implicated in virulence and lifestyle in the genus Gaeumannomyces. BMC Genomics. 26(1). 239–239. 3 indexed citations

2.

Rees, Hannah, Rachel Rusholme‐Pilcher, Paul Bailey, et al.. (2022). Circadian regulation of the transcriptome in a complex polyploid crop. PLoS Biology. 20(10). e3001802–e3001802. 16 indexed citations

3.

Greener, Joe G., et al.. (2020). BioStructures.jl: read, write and manipulate macromolecular structures in Julia. Bioinformatics. 36(14). 4206–4207. 8 indexed citations

4.

Nader, Johanna, Thomas C. Mathers, Ben J. Ward, et al.. (2019). Evolutionary genomics of anthroponosis in Cryptosporidium. Nature Microbiology. 4(5). 826–836. 81 indexed citations

5.

Jouet, Agathe, Diane G. O. Saunders, Mark McMullan, et al.. (2018). Albugo candida race diversity, ploidy and host‐associated microbes revealed using DNA sequence capture on diseased plants in the field. New Phytologist. 221(3). 1529–1543. 30 indexed citations

6.

Thilliez, Gaëtan, Miles R. Armstrong, Katie Baker, et al.. (2018). Pathogen enrichment sequencing (PenSeq) enables population genomic studies in oomycetes. New Phytologist. 221(3). 1634–1648. 43 indexed citations

7.

Lighten, Jackie, Alexander S. T. Papadopulos, Ryan S. Mohammed, et al.. (2017). Evolutionary genetics of immunological supertypes reveals two faces of the Red Queen. Nature Communications. 8(1). 1294–1294. 51 indexed citations

8.

Lighten, Jackie, Danny Incarnato, Ben J. Ward, et al.. (2016). Adaptive phenotypic response to climate enabled by epigenetics in a K-strategy species, the fish Leucoraja ocellata (Rajidae). Royal Society Open Science. 3(10). 160299–160299. 37 indexed citations

9.

McMullan, Mark, Anastasia Gardiner, Kate Bailey, et al.. (2015). Evidence for suppression of immunity as a driver for genomic introgressions and host range expansion in races of Albugo candida, a generalist parasite. eLife. 4. 59 indexed citations

10.

Ward, Ben J. & Cock van Oosterhout. (2015). hybridcheck: software for the rapid detection, visualization and dating of recombinant regions in genome sequence data. Molecular Ecology Resources. 16(2). 534–539. 32 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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