R. W. Snaydon

101 total papers · 5.0k total citations
88 papers, 3.8k citations indexed

About

R. W. Snaydon is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, R. W. Snaydon has authored 88 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Plant Science, 37 papers in Agronomy and Crop Science and 24 papers in Soil Science. Recurrent topics in R. W. Snaydon's work include Agronomic Practices and Intercropping Systems (27 papers), Soil Carbon and Nitrogen Dynamics (20 papers) and Botany and Plant Ecology Studies (16 papers). R. W. Snaydon is often cited by papers focused on Agronomic Practices and Intercropping Systems (27 papers), Soil Carbon and Nitrogen Dynamics (20 papers) and Botany and Plant Ecology Studies (16 papers). R. W. Snaydon collaborates with scholars based in United Kingdom, Canada and Italy. R. W. Snaydon's co-authors include M.S. Davies, M. J. Wright, A. D. Bradshaw, Emilio H. Satorre, Allan Walker, R. K. M. Hay, J. R. Caradus, C. Stopes, M. J. Chadwick and D. Jowett and has published in prestigious journals such as Nature, New Phytologist and Evolution.

In The Last Decade

R. W. Snaydon

86 papers receiving 3.1k citations

Hit Papers

Plant Adaptation to Miner... 1978 2026 1994 2010 1978 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
R. W. Snaydon 2.5k 1.3k 1.0k 875 591 88 3.8k
Michal Hejcman 1.6k 0.6× 650 0.5× 1.0k 1.0× 547 0.6× 784 1.3× 171 3.7k
Kerstin Huss‐Danell 3.1k 1.2× 946 0.7× 1.2k 1.2× 863 1.0× 1.3k 2.1× 109 4.8k
John Connolly 1.3k 0.5× 1.1k 0.9× 1.8k 1.8× 1.1k 1.2× 642 1.1× 85 4.2k
Adam S. Davis 3.7k 1.5× 1.8k 1.4× 847 0.8× 950 1.1× 1.0k 1.8× 149 5.6k
N. G. Seligman 936 0.4× 823 0.6× 659 0.6× 558 0.6× 498 0.8× 78 2.7k
Jonathan Storkey 2.3k 0.9× 814 0.6× 1.6k 1.5× 1.4k 1.6× 591 1.0× 105 4.8k
Roger Cousens 4.3k 1.7× 2.1k 1.6× 1.4k 1.3× 1.2k 1.4× 533 0.9× 129 6.3k
Claudio M. Ghersa 4.4k 1.8× 925 0.7× 1.3k 1.3× 2.1k 2.4× 626 1.1× 150 6.5k
Jaime Kigel 2.2k 0.9× 466 0.4× 1.7k 1.6× 1.0k 1.1× 332 0.6× 115 4.1k
Paolo Bàrberi 2.8k 1.1× 1.4k 1.1× 365 0.4× 593 0.7× 899 1.5× 108 4.1k

Countries citing papers authored by R. W. Snaydon

Since Specialization
Citations

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

Fields of papers citing papers by R. W. Snaydon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. W. Snaydon. 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 R. W. Snaydon. The network helps show where R. W. Snaydon may publish in the future.

Co-authorship network of co-authors of R. W. Snaydon

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

All Works

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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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