Richard Smith-Unna

1.6k total citations · 1 hit paper
11 papers, 904 citations indexed

About

Richard Smith-Unna is a scholar working on Molecular Biology, Plant Science and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Richard Smith-Unna has authored 11 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Plant Science and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Richard Smith-Unna's work include Photosynthetic Processes and Mechanisms (5 papers), Algal biology and biofuel production (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Richard Smith-Unna is often cited by papers focused on Photosynthetic Processes and Mechanisms (5 papers), Algal biology and biofuel production (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Richard Smith-Unna collaborates with scholars based in United Kingdom, France and United States. Richard Smith-Unna's co-authors include Julian M. Hibberd, Steven Kelly, Chris Boursnell, Rob Patro, Sylvain Aubry, Britta M. C. Kümpers, Sarah Covshoff, Helen K. Woodfield, Christopher R. John and Stanislav Kopřiva and has published in prestigious journals such as Nucleic Acids Research, PLANT PHYSIOLOGY and The Plant Journal.

In The Last Decade

Richard Smith-Unna

11 papers receiving 902 citations

Hit Papers

TransRate: reference-free quality assessment of de novo t... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers

Richard Smith-Unna
Xiang Jia Min United States
Shannon Clarke New Zealand
Anita S. Klein United States
Marc Crepeau United States
Richard Smith-Unna
Citations per year, relative to Richard Smith-Unna Richard Smith-Unna (= 1×) peers Mats Töpel

Countries citing papers authored by Richard Smith-Unna

Since Specialization
Citations

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

Fields of papers citing papers by Richard Smith-Unna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard Smith-Unna. 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 Richard Smith-Unna. The network helps show where Richard Smith-Unna may publish in the future.

Co-authorship network of co-authors of Richard Smith-Unna

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

All Works

11 of 11 papers shown
1.
Smith-Unna, Richard, et al.. (2022). pygetpapers: a Python library for automated retrievalof scientific literature. The Journal of Open Source Software. 7(75). 4451–4451. 2 indexed citations
2.
Aubry, Sylvain, et al.. (2016). A Specific Transcriptome Signature for Guard Cells from the C4 Plant Gynandropsis gynandra. PLANT PHYSIOLOGY. 170(3). 1345–1357. 23 indexed citations
3.
Kümpers, Britta M. C., Steven Burgess, Ivan Reyna‐Llorens, et al.. (2016). Shared characteristics underpinning C 4 leaf maturation derived from analysis of multiple C 3 and C 4 species of Flaveria. Journal of Experimental Botany. 68(2). 177–189. 16 indexed citations
4.
Smith-Unna, Richard, Chris Boursnell, Rob Patro, Julian M. Hibberd, & Steven Kelly. (2016). TransRate: reference-free quality assessment of de novo transcriptome assemblies. Genome Research. 26(8). 1134–1144. 547 indexed citations breakdown →
5.
Covshoff, Sarah, Marek Szecówka, Thomas E. Hughes, et al.. (2015). C4 Photosynthesis in the Rice Paddy: Insights from the Noxious Weed Echinochloa glabrescens. PLANT PHYSIOLOGY. 170(1). 57–73. 27 indexed citations
6.
Aubry, Sylvain, Steven Kelly, Britta M. C. Kümpers, Richard Smith-Unna, & Julian M. Hibberd. (2014). Deep Evolutionary Comparison of Gene Expression Identifies Parallel Recruitment of Trans-Factors in Two Independent Origins of C4 Photosynthesis. PLoS Genetics. 10(6). e1004365–e1004365. 126 indexed citations
7.
Amiard, Simon, Elisabeth Allain, Kyuha Choi, et al.. (2014). Telomere stability and development of ctc1 mutants are rescued by inhibition of EJ recombination pathways in a telomerase-dependent manner. Nucleic Acids Research. 42(19). 11979–11991. 2 indexed citations
8.
John, Christopher R., Richard Smith-Unna, Helen K. Woodfield, Sarah Covshoff, & Julian M. Hibberd. (2014). Evolutionary Convergence of Cell-Specific Gene Expression in Independent Lineages of C4 Grasses    . PLANT PHYSIOLOGY. 165(1). 62–75. 82 indexed citations
9.
Murray‐Rust, Peter, Richard Smith-Unna, & Ross Mounce. (2014). AMI-diagram: Mining Facts from Images. D-Lib Magazine. 20(11/12). 1 indexed citations
10.
Aubry, Sylvain, Richard Smith-Unna, Chris Boursnell, Stanislav Kopřiva, & Julian M. Hibberd. (2014). Transcript residency on ribosomes reveals a key role for the Arabidopsis thaliana bundle sheath in sulfur and glucosinolate metabolism. The Plant Journal. 78(4). 659–673. 73 indexed citations
11.
Smith-Unna, Richard & Peter Murray‐Rust. (2014). The ContentMine Scraping Stack: Literature-scale Content Mining with Community-maintained Collections of Declarative Scrapers. D-Lib Magazine. 20(11/12). 5 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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