P. R. H. Robson

4.5k total citations
124 papers, 2.7k citations indexed

About

P. R. H. Robson is a scholar working on Agronomy and Crop Science, Plant Science and Biomedical Engineering. According to data from OpenAlex, P. R. H. Robson has authored 124 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Agronomy and Crop Science, 58 papers in Plant Science and 37 papers in Biomedical Engineering. Recurrent topics in P. R. H. Robson's work include Bioenergy crop production and management (55 papers), Biofuel production and bioconversion (36 papers) and Botany and Plant Ecology Studies (20 papers). P. R. H. Robson is often cited by papers focused on Bioenergy crop production and management (55 papers), Biofuel production and bioconversion (36 papers) and Botany and Plant Ecology Studies (20 papers). P. R. H. Robson collaborates with scholars based in United Kingdom, United States and Germany. P. R. H. Robson's co-authors include Iain Donnison, Astley Hastings, H. SMITH, Garry C. Whitelam, J. C. Brown, Harry Smith, Gordon Allison, John F. Valentine, Richard Webster and Evangelia Stavridou and has published in prestigious journals such as Nature Biotechnology, PLANT PHYSIOLOGY and Bioresource Technology.

In The Last Decade

P. R. H. Robson

111 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. R. H. Robson United Kingdom 27 1.4k 957 850 810 181 124 2.7k
Luisa M. Trindade Netherlands 33 1.9k 1.3× 611 0.6× 1.0k 1.2× 957 1.2× 119 0.7× 115 3.3k
Simone Graeff‐Hönninger Germany 28 894 0.6× 688 0.7× 500 0.6× 478 0.6× 230 1.3× 97 2.5k
Gordon Allison United Kingdom 21 778 0.5× 627 0.7× 1.1k 1.3× 738 0.9× 107 0.6× 69 2.5k
Marisol T. Berti United States 24 1.1k 0.8× 703 0.7× 469 0.6× 401 0.5× 122 0.7× 94 2.1k
Joseph H. Bouton United States 33 1.8k 1.2× 1.3k 1.4× 1.2k 1.4× 857 1.1× 83 0.5× 97 3.6k
Wellington Muchero United States 38 2.6k 1.8× 444 0.5× 1.6k 1.9× 1.1k 1.3× 229 1.3× 114 4.4k
Leonardo D. Gómez United Kingdom 34 2.2k 1.6× 393 0.4× 1.7k 2.0× 1.8k 2.2× 93 0.5× 124 4.5k
Frank G. Dohleman United States 22 1.4k 1.0× 1.9k 2.0× 322 0.4× 1.7k 2.1× 154 0.9× 29 3.2k
Donald L. Wyse United States 37 2.4k 1.7× 1.3k 1.4× 539 0.6× 200 0.2× 306 1.7× 153 3.7k
Stephen P. Moose United States 29 2.9k 2.0× 755 0.8× 1.4k 1.7× 541 0.7× 80 0.4× 56 3.6k

Countries citing papers authored by P. R. H. Robson

Since Specialization
Citations

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

Fields of papers citing papers by P. R. H. Robson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. R. H. Robson. 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 P. R. H. Robson. The network helps show where P. R. H. Robson may publish in the future.

Co-authorship network of co-authors of P. R. H. Robson

This figure shows the co-authorship network connecting the top 25 collaborators of P. R. H. Robson. A scholar is included among the top collaborators of P. R. H. Robson 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 P. R. H. Robson. P. R. H. Robson 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.
Robson, P. R. H., et al.. (2025). Effect of tillage method on early root growth of Miscanthus. Annals of Applied Biology. 187(2). 192–204. 1 indexed citations
2.
3.
Hodgson, Edward, Jon McCalmont, Rebecca Rowe, et al.. (2024). Upscaling miscanthus production in the United Kingdom: The benefits, challenges, and trade‐offs. GCB Bioenergy. 16(8). 6 indexed citations
4.
Ashman, Chris, et al.. (2023). Improving field establishment and yield in seed propagated Miscanthus through manipulating plug size, sowing date and seedling age. Frontiers in Plant Science. 14. 1095838–1095838. 4 indexed citations
5.
Guzzo, Rosa M., Badam Enkhmandakh, Pujan Joshi, et al.. (2022). Single-cell transcriptomics defines Dot1L interacting partners and downstream target genes in the mouse molar dental pulp. The International Journal of Developmental Biology. 66(7-8-9). 391–400.
6.
Scordia, Danilo, Giovanni Scalici, J. C. Brown, et al.. (2020). Wild Miscanthus Germplasm in a Drought-Affected Area: Physiology and Agronomy Appraisals. Agronomy. 10(5). 679–679. 16 indexed citations
7.
Donnison, Iain, et al.. (2020). Morphological and Physiological Traits that Explain Yield Response to Drought Stress in Miscanthus. Agronomy. 10(8). 1194–1194. 28 indexed citations
8.
Hejcman, Michal, V. Pavlů, R. P. Collins, et al.. (2014). Nutritive value of leaf fodder from the main woody species in Iceland.. 566–568. 2 indexed citations
9.
Isselstein, J., Manfred Kayser, A. Hopkins, et al.. (2014). Functions of grassland and their potential in delivering ecosystem services.. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 199–214. 13 indexed citations
10.
Suter, D., Daniel Hofer, A. Lüscher, et al.. (2014). Screening reveals opportunities for high sugar cultivars of Lolium perenne L.. 874–876. 1 indexed citations
11.
Teixeira, Ricardo F. M., Vânia Proença, David Crespo, et al.. (2014). Sown biodiverse pastures as a win-win approach to reverse the degradation of Mediterranean ecosystems.. 258–260. 6 indexed citations
12.
Koukoura, Ζ., R. P. Collins, M. D. Fraser, et al.. (2014). Second generation bioethanol production from Phalaris aquatica L. energy crop.. 462–464. 5 indexed citations
13.
Hopkins, A., R. P. Collins, M. D. Fraser, et al.. (2014). Prediction of energy content of grass silages depending on grass and ensiling conditions.. 613–615.
14.
McEvoy, Meaghan, N. McHugh, M. O’Donovan, et al.. (2014). Pasture profit index: updated economic values and inclusion of persistency.. 843–845. 1 indexed citations
15.
Hautier, Louis, Marc Dufrêne, Didier Stilmant, et al.. (2014). BIOECOSYS: towards the development of a decision support tool to evaluate grassland ecosystem services.. 376–378.
16.
O’Kiely, P., Peter Stacey, R. Hackett, et al.. (2014). Conserving high moisture spring field bean (Vicia faba L.) grains.. 583–586. 1 indexed citations
17.
Morel, Isabelle, Pierre-Alain Dufey, R. P. Collins, et al.. (2014). Influence of ryegrass alone or blended with clover and chicory on feed intake and growth performance of steers.. 731–733. 2 indexed citations
18.
López‐Sánchez, Aida, Alfonso San Miguel, Sonia Roig Gómez, et al.. (2014). Resilience of Mediterranean ecosystems: tree and management effects on variability of herbaceous pastures in a dry year.. 382–384. 2 indexed citations
19.
Isselstein, J., Manfred Kayser, N. Wrage, et al.. (2014). Drought effects on herbage production of permanent grasslands in northern Germany.. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 106–108. 3 indexed citations
20.
Robson, P. R. H., Elaine Jensen, G. D. Giddings, et al.. (2010). A flexible quantitative methodology for the analysis of gene-flow between conventionally bred maize populations using microsatellite markers. Theoretical and Applied Genetics. 122(4). 819–829.

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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