Robert Loughman

1.3k total citations
46 papers, 975 citations indexed

About

Robert Loughman is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Robert Loughman has authored 46 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 12 papers in Cell Biology and 8 papers in Molecular Biology. Recurrent topics in Robert Loughman's work include Wheat and Barley Genetics and Pathology (37 papers), Plant Disease Resistance and Genetics (25 papers) and Genetics and Plant Breeding (15 papers). Robert Loughman is often cited by papers focused on Wheat and Barley Genetics and Pathology (37 papers), Plant Disease Resistance and Genetics (25 papers) and Genetics and Plant Breeding (15 papers). Robert Loughman collaborates with scholars based in Australia, United States and Canada. Robert Loughman's co-authors include Jane Speijers, Sanjiv Gupta, Janusz Majewski, M. Shankar, Michael G. Francki, Reg Lance, M. G. K. Jones, C. Wellings, Felicity Keiper and R. Wilson and has published in prestigious journals such as Theoretical and Applied Genetics, Crop Science and Phytopathology.

In The Last Decade

Robert Loughman

43 papers receiving 922 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Loughman Australia 19 938 185 173 163 116 46 975
A. Yahyaoui Syria 14 972 1.0× 102 0.6× 216 1.2× 156 1.0× 138 1.2× 47 1.0k
Z. A. Pretorius South Africa 20 1.2k 1.2× 158 0.9× 398 2.3× 222 1.4× 129 1.1× 58 1.2k
Kerstin Flath Germany 18 1.1k 1.2× 164 0.9× 283 1.6× 194 1.2× 139 1.2× 51 1.2k
Chenggen Chu United States 20 1.1k 1.2× 98 0.5× 156 0.9× 332 2.0× 116 1.0× 52 1.2k
J.M. Prescott Mexico 7 893 1.0× 147 0.8× 116 0.7× 78 0.5× 163 1.4× 12 932
Cristina Alicia Cordo Argentina 17 572 0.6× 184 1.0× 68 0.4× 65 0.4× 62 0.5× 50 612
T. W. Hollins United Kingdom 19 844 0.9× 370 2.0× 114 0.7× 56 0.3× 54 0.5× 29 882
J. Manisterski Israel 18 883 0.9× 90 0.5× 412 2.4× 131 0.8× 43 0.4× 39 932
S. B. King India 13 504 0.5× 177 1.0× 92 0.5× 81 0.5× 92 0.8× 41 551
Suraj Gurung United States 18 849 0.9× 289 1.6× 105 0.6× 159 1.0× 27 0.2× 30 868

Countries citing papers authored by Robert Loughman

Since Specialization
Citations

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

Fields of papers citing papers by Robert Loughman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Loughman

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

All Works

20 of 20 papers shown
1.
Wang, Yonggang, Yanhao Xu, Sanjiv Gupta, et al.. (2020). Fine mapping QSc.VR4, an effective and stable scald resistance locus in barley (Hordeum vulgare L.), to a 0.38-Mb region enriched with LRR-RLK and GLP genes. Theoretical and Applied Genetics. 133(7). 2307–2321. 3 indexed citations
2.
3.
Gupta, Sanjiv, et al.. (2018). A locus on barley chromosome 5H affects adult plant resistance to powdery mildew. Molecular Breeding. 38(8). 103–103. 12 indexed citations
4.
Shankar, M., Julian Taylor, K. J. Chalmers, et al.. (2017). Loci on chromosomes 1A and 2A affect resistance to tan (yellow) spot in wheat populations not segregating for tsn1. Theoretical and Applied Genetics. 130(12). 2637–2654. 15 indexed citations
5.
Francki, Michael G., M. Shankar, Esther Walker, et al.. (2011). New Quantitative Trait Loci in Wheat for Flag Leaf Resistance to Stagonospora nodorum Blotch. Phytopathology. 101(11). 1278–1284. 24 indexed citations
6.
Gupta, Sanjiv, et al.. (2011). Characterisation and diversity of Pyrenophora teres f. maculata isolates in Western Australia. Australasian Plant Pathology. 41(1). 31–40. 8 indexed citations
7.
Gupta, Sanjiv, Xiaoqi Zhang, M. G. K. Jones, et al.. (2010). PCR markers for selection of adult plant leaf rust resistance in barley (Hordeum vulgare L.). Molecular Breeding. 28(4). 657–666. 19 indexed citations
8.
Çakır, M., Jideng Ma, Etienne Paux, et al.. (2008). Marker development, high-throughput and logistics of MAS applications in a large wheat breeding program. Murdoch Research Repository (Murdoch University). 1 indexed citations
9.
Shankar, M., Esther Walker, H. Golzar, et al.. (2008). Quantitative Trait Loci for Seedling and Adult Plant Resistance to Stagonospora nodorum in Wheat. Phytopathology. 98(8). 886–893. 40 indexed citations
10.
Oliver, Richard P., et al.. (2008). Quantitative disease resistance assessment by real‐time PCR using the Stagonospora nodorum ‐wheat pathosystem as a model. Plant Pathology. 57(3). 527–532. 26 indexed citations
11.
Loughman, Robert, et al.. (2008). Wyalkatchem reselections differentiate the adult plant resistance gene Yr29 in an Australian wheat background. The Sydney eScholarship Repository (The University of Sydney). 1 indexed citations
12.
Bariana, Harbans, Neil R. A. Parry, I. Barclay, et al.. (2006). Identification and characterization of stripe rust resistance gene Yr34 in common wheat. Theoretical and Applied Genetics. 112(6). 1143–1148. 57 indexed citations
13.
Wielinga, Caroline, Chengdao Li, M. Çakır, et al.. (2004). Gene distribution and SSR markers linked with net type net blotch resistance in barley. Murdoch Research Repository (Murdoch University). 8 indexed citations
14.
George, Eckhard, et al.. (2004). First record of the teleomorph stage of Drechslera teres f. maculata in Australia. Australasian Plant Pathology. 33(3). 455–455. 7 indexed citations
15.
Çakır, M., S. Gupta, G. J. Platz, et al.. (2003). Mapping and validation of the genes for resistance to Pyrenophora teres f. teres in barley (Hordeum vulgare L.). Australian Journal of Agricultural Research. 54(12). 1369–1377. 68 indexed citations
16.
Wellings, C., et al.. (2003). First detection of wheat stripe rust in Western Australia: evidence for a foreign incursion. Australasian Plant Pathology. 32(2). 321–321. 73 indexed citations
17.
Loughman, Robert, et al.. (2002). Evaluation of fungicides in control of spot-type net blotch on barley. Crop Protection. 21(1). 63–69. 30 indexed citations
18.
Gupta, Sanjiv, Robert Loughman, G. J. Platz, Reg Lance, & M. G. K. Jones. (2001). Journey of net blotch: from pathotype diversity to useful resistance in barley. Murdoch Research Repository (Murdoch University). 37–37. 4 indexed citations
19.
Loughman, Robert, et al.. (2001). Ability of retained stubble to carry-over leaf diseases of wheat in rotation crops. Australian Journal of Experimental Agriculture. 41(5). 649–653. 17 indexed citations
20.
Loughman, Robert, et al.. (2000). Resistance to septoria nodorum blotch in the Aegilops tauschii accession RL5271 is controlled by a single gene. Euphytica. 113(3). 227–231. 23 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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