Mark Looseley

622 total citations
19 papers, 401 citations indexed

About

Mark Looseley is a scholar working on Plant Science, Cell Biology and Genetics. According to data from OpenAlex, Mark Looseley has authored 19 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 4 papers in Cell Biology and 4 papers in Genetics. Recurrent topics in Mark Looseley's work include Wheat and Barley Genetics and Pathology (12 papers), Plant Disease Resistance and Genetics (6 papers) and Plant Pathogens and Fungal Diseases (4 papers). Mark Looseley is often cited by papers focused on Wheat and Barley Genetics and Pathology (12 papers), Plant Disease Resistance and Genetics (6 papers) and Plant Pathogens and Fungal Diseases (4 papers). Mark Looseley collaborates with scholars based in United Kingdom, Germany and Spain. Mark Looseley's co-authors include Stephen Wright, Blake C. Meyers, A. C. Newton, Brandon S. Gaut, John Paul Foxe, Deborah Charlesworth, Akira Kawabe, Anna O. Avrova, Alan Renwick and Robbie Waugh and has published in prestigious journals such as Genetics, Molecular Ecology and Molecular Biology and Evolution.

In The Last Decade

Mark Looseley

19 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Looseley United Kingdom 11 238 161 134 60 47 19 401
Baptiste Mayjonade France 9 296 1.2× 210 1.3× 85 0.6× 40 0.7× 38 0.8× 16 437
Kevin A. Bird United States 11 490 2.1× 310 1.9× 145 1.1× 67 1.1× 75 1.6× 23 636
Carine Huard‐Chauveau France 9 456 1.9× 120 0.7× 112 0.8× 47 0.8× 61 1.3× 10 550
Maxime Bastien Canada 7 507 2.1× 123 0.8× 222 1.7× 42 0.7× 30 0.6× 7 641
Felicity Keiper Australia 12 427 1.8× 239 1.5× 85 0.6× 73 1.2× 96 2.0× 20 538
Ji‐Hyung Shin Canada 3 276 1.2× 99 0.6× 257 1.9× 30 0.5× 21 0.4× 8 448
Runsheng Ren China 12 424 1.8× 165 1.0× 168 1.3× 24 0.4× 83 1.8× 22 522
Baogen Wang China 15 561 2.4× 138 0.9× 212 1.6× 24 0.4× 28 0.6× 39 657
Zhongfu Lu China 15 578 2.4× 135 0.8× 211 1.6× 24 0.4× 28 0.6× 37 668
M.E. Ferreira Brazil 8 463 1.9× 100 0.6× 266 2.0× 51 0.8× 37 0.8× 10 541

Countries citing papers authored by Mark Looseley

Since Specialization
Citations

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

Fields of papers citing papers by Mark Looseley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Looseley

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

All Works

19 of 19 papers shown
1.
Johnston, Ian A., Matthew Kent, Pierre Boudinot, et al.. (2024). Advancing fish breeding in aquaculture through genome functional annotation. Aquaculture. 583. 740589–740589. 11 indexed citations
2.
Houston, Kelly, Jelle Lahnstein, Mark Looseley, et al.. (2023). Natural variation in HvAT10 underlies grain cell wall-esterified phenolic acid content in cultivated barley. Frontiers in Plant Science. 14. 1095862–1095862. 2 indexed citations
3.
Tsairidou, Smaragda, Clémence Fraslin, Gregor Gorjanc, et al.. (2023). Evaluation of low-density SNP panels and imputation for cost-effective genomic selection in four aquaculture species. Frontiers in Genetics. 14. 1194266–1194266. 18 indexed citations
4.
Russell, Joanne, Dominique Vequaud, Mark Looseley, et al.. (2022). Genome-Wide Association Study for Resistance to Rhynchosporium in a Diverse Collection of Spring Barley Germplasm. Agronomy. 12(4). 782–782. 5 indexed citations
5.
Looseley, Mark, Luke Ramsay, Hazel Bull, et al.. (2020). Association mapping of malting quality traits in UK spring and winter barley cultivar collections. Theoretical and Applied Genetics. 133(9). 2567–2582. 19 indexed citations
6.
Looseley, Mark, Bianca Büttner, Kathryn M. Wright, et al.. (2020). Characterisation of barley landraces from Syria and Jordan for resistance to rhynchosporium and identification of diagnostic markers for Rrs1Rh4. Theoretical and Applied Genetics. 133(4). 1243–1264. 6 indexed citations
7.
Looseley, Mark, Bianca Büttner, Kathryn M. Wright, et al.. (2018). Resistance to Rhynchosporium commune in a collection of European spring barley germplasm. Theoretical and Applied Genetics. 131(12). 2513–2528. 14 indexed citations
8.
Coulter, Max, Bianca Büttner, Micha Bayer, et al.. (2018). Characterisation of barley resistance to rhynchosporium on chromosome 6HS. Theoretical and Applied Genetics. 132(4). 1089–1107. 12 indexed citations
9.
Looseley, Mark, Micha Bayer, Hazel Bull, et al.. (2017). Association Mapping of Diastatic Power in UK Winter and Spring Barley by Exome Sequencing of Phenotypically Contrasting Variety Sets. Frontiers in Plant Science. 8. 1566–1566. 6 indexed citations
10.
11.
Avrova, Anna O., Oscar N. Ruiz, Martin Münsterkötter, et al.. (2014). From Rhynchosporium commune genome sequence to barley resistance. Rothamsted Repository (Rothamsted Repository). 177–178. 1 indexed citations
12.
Looseley, Mark & A. C. Newton. (2014). Assessing the Consequences of Microbial Infection in Field Trials: Seen, Unseen, Beneficial, Parasitic and Pathogenic. Agronomy. 4(2). 302–321. 5 indexed citations
13.
Fitt, Bruce D.L., Simon D. Atkins, B. A. Fraaije, et al.. (2012). Role of inoculum sources in Rhynchosporium population dynamics and epidemics on barley.. Rothamsted Repository (Rothamsted Repository). 2 indexed citations
14.
Looseley, Mark, A. C. Newton, S. D. Atkins, et al.. (2012). Genetic control of infection and symptom expression by Rhynchosporium commune in barley.. 133–138. 1 indexed citations
15.
Walters, Dale R., Anna O. Avrova, I. J. Bingham, et al.. (2012). Control of foliar diseases in barley: towards an integrated approach. European Journal of Plant Pathology. 133(1). 33–73. 61 indexed citations
16.
Pelser, Pieter B., Richard J. Abbott, Hans Peter Comes, et al.. (2011). The genetic ghost of an invasion past: colonization and extinction revealed by historical hybridization inSenecio. Molecular Ecology. 21(2). 369–387. 35 indexed citations
17.
Looseley, Mark, A. C. Newton, S. D. Atkins, et al.. (2011). Genetic basis of control of Rhynchosporium secalis infection and symptom expression in barley. Euphytica. 184(1). 47–56. 18 indexed citations
18.
Wright, Stephen, John Paul Foxe, Akira Kawabe, et al.. (2006). Testing for Effects of Recombination Rate on Nucleotide Diversity in Natural Populations of Arabidopsis lyrata. Genetics. 174(3). 1421–1430. 58 indexed citations
19.
Wright, Stephen, et al.. (2004). Effects of Gene Expression on Molecular Evolution in Arabidopsis thaliana and Arabidopsis lyrata. Molecular Biology and Evolution. 21(9). 1719–1726. 117 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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