Peter Langridge

33.8k total citations · 2 hit papers
282 papers, 17.9k citations indexed

About

Peter Langridge is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Peter Langridge has authored 282 papers receiving a total of 17.9k indexed citations (citations by other indexed papers that have themselves been cited), including 240 papers in Plant Science, 100 papers in Molecular Biology and 61 papers in Genetics. Recurrent topics in Peter Langridge's work include Wheat and Barley Genetics and Pathology (112 papers), Genetic Mapping and Diversity in Plants and Animals (55 papers) and Genetics and Plant Breeding (53 papers). Peter Langridge is often cited by papers focused on Wheat and Barley Genetics and Pathology (112 papers), Genetic Mapping and Diversity in Plants and Animals (55 papers) and Genetics and Plant Breeding (53 papers). Peter Langridge collaborates with scholars based in Australia, Germany and United States. Peter Langridge's co-authors include Mark Tester, Matthew Reynolds, Haydn Kuchel, Paul A. Henschke, Thorsten Schnurbusch, Delphine Fleury, S. P. Jefferies, Rajeev K. Varshney, Ute Baumann and K. J. Chalmers and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Peter Langridge

278 papers receiving 17.0k citations

Hit Papers

Breeding Technologies to Increase Crop Production in a Ch... 2010 2026 2015 2020 2010 2017 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Langridge Australia 75 15.3k 5.2k 3.7k 1.8k 1.2k 282 17.9k
Robbie Waugh United Kingdom 76 15.8k 1.0× 4.7k 0.9× 5.9k 1.6× 1.1k 0.6× 1.5k 1.3× 282 18.2k
G. S. Khush Philippines 63 18.5k 1.2× 5.1k 1.0× 7.3k 2.0× 1.3k 0.7× 351 0.3× 264 20.9k
Mark E. Sorrells United States 86 23.2k 1.5× 3.9k 0.7× 13.0k 3.5× 2.3k 1.3× 990 0.8× 289 26.7k
Henry T. Nguyen United States 79 15.5k 1.0× 3.7k 0.7× 2.9k 0.8× 2.0k 1.1× 328 0.3× 365 17.4k
Luigi Cattivelli Italy 54 8.2k 0.5× 2.8k 0.5× 1.5k 0.4× 1.4k 0.8× 671 0.6× 219 9.8k
Rodomiro Ortíz Sweden 49 8.7k 0.6× 2.0k 0.4× 2.0k 0.5× 1.0k 0.6× 1.0k 0.9× 415 10.8k
Masahiro Yano Japan 99 31.4k 2.0× 8.5k 1.6× 13.7k 3.7× 1.3k 0.7× 488 0.4× 288 33.7k
Susan R. McCouch United States 91 28.8k 1.9× 6.4k 1.2× 17.4k 4.7× 1.0k 0.6× 720 0.6× 238 32.4k
Keith J. Edwards United Kingdom 53 11.5k 0.7× 5.6k 1.1× 4.1k 1.1× 726 0.4× 724 0.6× 133 14.7k
Andreas Graner Germany 60 12.4k 0.8× 4.4k 0.8× 5.0k 1.3× 904 0.5× 424 0.4× 176 14.9k

Countries citing papers authored by Peter Langridge

Since Specialization
Citations

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

Fields of papers citing papers by Peter Langridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Langridge

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Langridge. A scholar is included among the top collaborators of Peter Langridge 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 Peter Langridge. Peter Langridge 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.
Waqas, Muhammad, Susan R. McCouch, Davide Francioli, et al.. (2025). Blueprints for sustainable plant production through the utilization of crop wild relatives and their microbiomes. Nature Communications. 16(1). 6364–6364. 5 indexed citations
2.
Chen, Weiwei, et al.. (2024). Humboldt review: The role of Ancestral MicroRNAs in grass inflorescence development. Journal of Plant Physiology. 304. 154417–154417. 1 indexed citations
3.
Colmer, Timothy D., Julian Taylor, Yongle Li, et al.. (2021). Novel Salinity Tolerance Loci in Chickpea Identified in Glasshouse and Field Environments. Frontiers in Plant Science. 12. 667910–667910. 27 indexed citations
4.
Jatayev, Satyvaldy, N. K. Gupta, Sunita Gupta, et al.. (2021). Expression of Specific Alleles of Zinc-Finger Transcription Factors, HvSAP8 and HvSAP16, and Corresponding SNP Markers, Are Associated with Drought Tolerance in Barley Populations. International Journal of Molecular Sciences. 22(22). 12156–12156. 11 indexed citations
5.
Fleury, Delphine, Ute Baumann, Daniel Mullan, et al.. (2021). Development of an Australian Bread Wheat Nested Association Mapping Population, a New Genetic Diversity Resource for Breeding under Dry and Hot Climates. International Journal of Molecular Sciences. 22(9). 4348–4348. 10 indexed citations
6.
Okamoto, Mamoru, Trevor Garnett, Paul Eckermann, et al.. (2020). Strengths and Weaknesses of National Variety Trial Data for Multi-Environment Analysis: A Case Study on Grain Yield and Protein Content. Agronomy. 10(5). 753–753. 11 indexed citations
7.
9.
Edwards, James, Vijay Gahlaut, Melissa Garcia, et al.. (2019). QTL analysis and fine mapping of a QTL for yield-related traits in wheat grown in dry and hot environments. Theoretical and Applied Genetics. 133(1). 239–257. 47 indexed citations
11.
Bonneau, Julien, et al.. (2017). Quantifying Wheat Sensitivities to Environmental Constraints to Dissect Genotype × Environment Interactions in the Field. PLANT PHYSIOLOGY. 174(3). 1669–1682. 37 indexed citations
12.
Taylor, Julian, Beata Sznajder, Fahimeh Shahinnia, et al.. (2016). Genetic Basis for Variation in Wheat Grain Yield in Response to Varying Nitrogen Application. PLoS ONE. 11(7). e0159374–e0159374. 26 indexed citations
13.
Taylor, Julian, et al.. (2016). The Genetic Control of Grain Protein Content under Variable Nitrogen Supply in an Australian Wheat Mapping Population. PLoS ONE. 11(7). e0159371–e0159371. 21 indexed citations
14.
Sutton, Tim, Ute Baumann, Julie E. Hayes, et al.. (2007). Boron-Toxicity Tolerance in Barley Arising from Efflux Transporter Amplification. Science. 318(5855). 1446–1449. 320 indexed citations
15.
Friedrich, Anne, et al.. (2004). High-resolution mapping of theSandZloci ofPhalaris coerulescens. Genome. 47(5). 918–930. 23 indexed citations
16.
Marshall, D. R., Peter Langridge, & R. Appels. (2001). Wheat Breeding in the new century - Preface. Australian Journal of Agricultural Research. 52(12). I–iv. 11 indexed citations
17.
Barr, A. R., et al.. (2001). Marker assisted selection – where to now?. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1 indexed citations
18.
Jiranek, Vladimir, Peter Langridge, & Paul A. Henschke. (1995). Amino Acid and Ammonium Utilization by Saccharomyces cerevisiae Wine Yeasts From a Chemically Defined Medium. American Journal of Enology and Viticulture. 46(1). 75–83. 154 indexed citations
19.
Jiranek, Vladimir, Peter Langridge, & Paul A. Henschke. (1995). Validation of Bismuth-Containing Indicator Media for Predicting H2S-Producing Potential of Saccharomyces cerevisiae Wine Yeasts Under Enological Conditions. American Journal of Enology and Viticulture. 46(2). 269–273. 46 indexed citations
20.
Singh, Nagendra Kumar, K. W. Shepherd, Peter Langridge, et al.. (1988). Identification of legumin-like proteins in wheat. Plant Molecular Biology. 11(5). 633–639. 20 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026