Stephen A. Rolfe

4.8k total citations · 2 hit papers
69 papers, 3.3k citations indexed

About

Stephen A. Rolfe is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Stephen A. Rolfe has authored 69 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 27 papers in Molecular Biology and 13 papers in Ecology. Recurrent topics in Stephen A. Rolfe's work include Photosynthetic Processes and Mechanisms (16 papers), Plant nutrient uptake and metabolism (12 papers) and Plant-Microbe Interactions and Immunity (9 papers). Stephen A. Rolfe is often cited by papers focused on Photosynthetic Processes and Mechanisms (16 papers), Plant nutrient uptake and metabolism (12 papers) and Plant-Microbe Interactions and Immunity (9 papers). Stephen A. Rolfe collaborates with scholars based in United Kingdom, Germany and Poland. Stephen A. Rolfe's co-authors include Julie D. Scholes, Jurriaan Ton, Joseph Griffiths, Steven F. Thornton, Pierre Pétriacq, Helgi Öpik, Robert Malinowski, Duncan D. Cameron, Wei E. Huang and Roland E. Schwarzenbacher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Stephen A. Rolfe

67 papers receiving 3.2k citations

Hit Papers

Crying out for help with root exudates: adaptive mechanis... 2019 2026 2021 2023 2019 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen A. Rolfe United Kingdom 33 2.4k 911 299 212 200 69 3.3k
Yanan Wang China 33 1.9k 0.8× 479 0.5× 181 0.6× 265 1.3× 167 0.8× 154 3.7k
Sandra Citterio Italy 31 1.7k 0.7× 711 0.8× 423 1.4× 104 0.5× 405 2.0× 113 3.4k
Larry J. Halverson United States 28 1.0k 0.4× 752 0.8× 563 1.9× 69 0.3× 198 1.0× 51 2.4k
Lidia S. Watrud United States 27 1.7k 0.7× 1.1k 1.2× 524 1.8× 214 1.0× 251 1.3× 61 2.7k
Mika Tarkka Germany 31 2.6k 1.1× 670 0.7× 558 1.9× 516 2.4× 276 1.4× 85 3.7k
Sergio Sgorbati Italy 28 2.0k 0.8× 1.0k 1.1× 346 1.2× 128 0.6× 271 1.4× 73 3.3k
Rodrigo Costa Portugal 38 1.2k 0.5× 1.1k 1.2× 1.4k 4.8× 284 1.3× 330 1.6× 97 4.0k
B. Schwyn Switzerland 16 4.0k 1.6× 1.7k 1.9× 579 1.9× 536 2.5× 339 1.7× 20 6.2k
Paxton Payton United States 38 3.4k 1.4× 1.7k 1.8× 161 0.5× 69 0.3× 70 0.3× 119 4.3k
Julie D. Scholes United Kingdom 47 4.4k 1.8× 1.2k 1.3× 321 1.1× 286 1.3× 70 0.3× 87 5.4k

Countries citing papers authored by Stephen A. Rolfe

Since Specialization
Citations

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

Fields of papers citing papers by Stephen A. Rolfe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen A. Rolfe. 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 Stephen A. Rolfe. The network helps show where Stephen A. Rolfe may publish in the future.

Co-authorship network of co-authors of Stephen A. Rolfe

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen A. Rolfe. A scholar is included among the top collaborators of Stephen A. Rolfe 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 Stephen A. Rolfe. Stephen A. Rolfe 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.
Barnes, James A., et al.. (2025). The influence of surface materials on microbial biofilm formation in aviation fuel systems. Biofouling. 41(3). 265–282.
2.
Waals, Marcelle J. van der, Steven F. Thornton, Stephen A. Rolfe, et al.. (2024). Potential of stable isotope analysis to deduce anaerobic biodegradation of ethyl tert-butyl ether (ETBE) and tert-butyl alcohol (TBA) in groundwater: a review. Environmental Science and Pollution Research. 31(11). 16150–16163. 1 indexed citations
3.
Banwart, Steven A., et al.. (2021). The Role of Extracellular DNA in Microbial Attachment to Oxidized Silicon Surfaces in the Presence of Ca2+ and Na+. Langmuir. 37(32). 9838–9850. 11 indexed citations
4.
Rolfe, Stephen A., et al.. (2021). Distribution of ETBE-degrading microorganisms and functional capability in groundwater, and implications for characterising aquifer ETBE biodegradation potential. Environmental Science and Pollution Research. 29(1). 1223–1238. 7 indexed citations
5.
Rolfe, Stephen A., et al.. (2020). The relationship between properties of plant-based biochars and sorption of Cd(II), Pb(II) and Zn(II) in soil model systems. Heliyon. 6(11). e05388–e05388. 47 indexed citations
7.
Cotton, T. E. Anne, Pierre Pétriacq, Duncan D. Cameron, et al.. (2019). Metabolic regulation of the maize rhizobiome by benzoxazinoids. The ISME Journal. 13(7). 1647–1658. 230 indexed citations breakdown →
8.
Lundgren, Marjorie R., Alice L. Baillie, Jessica Dunn, et al.. (2019). Mesophyll porosity is modulated by the presence of functional stomata. Nature Communications. 10(1). 2825–2825. 70 indexed citations
9.
Rolfe, Stephen A., et al.. (2019). Electrical impedance tomography as a tool for phenotyping plant roots. Plant Methods. 15(1). 49–49. 41 indexed citations
10.
Truman, William, et al.. (2018). Clubroot Disease Stimulates Early Steps of Phloem Differentiation and Recruits SWEET Sucrose Transporters within Developing Galls. The Plant Cell. 30(12). 3058–3073. 73 indexed citations
12.
Lehmeier, C., R Pajor, Marjorie R. Lundgren, et al.. (2017). Cell density and airspace patterning in the leaf can be manipulated to increase leaf photosynthetic capacity. The Plant Journal. 92(6). 981–994. 74 indexed citations
13.
Rolfe, Stephen A., Stephen E. Strelkov, Matthew G. Links, et al.. (2016). The compact genome of the plant pathogen Plasmodiophora brassicae is adapted to intracellular interactions with host Brassica spp. BMC Genomics. 17(1). 272–272. 94 indexed citations
14.
Pajor, R, Andrew J. Fleming, Colin P. Osborne, et al.. (2013). Seeing space: visualization and quantification of plant leaf structure using X-ray micro-computed tomography. Journal of Experimental Botany. 64(2). 385–390. 35 indexed citations
15.
Pouran, Hamid M., et al.. (2009). Multi-factorial analysis of surface interactions in single species environmental bacteria and model surfaces. GeCAS. 73. 1 indexed citations
16.
Geoghegan, Mark, Catherine A. Biggs, Kevin E. Eboigbodin, et al.. (2008). The polymer physics and chemistry of microbial cell attachment and adhesion. Faraday Discussions. 139. 85–85. 53 indexed citations
17.
Öpik, Helgi & Stephen A. Rolfe. (2005). The Physiology of Flowering Plants. Cambridge University Press eBooks. 101 indexed citations
18.
Rolfe, Stephen A., et al.. (1995). The effect of Albugo candida on the photosynthetic and carbohydrate metabolism of Arabidopsis thaliana.. Aspects of applied biology. 149–153. 2 indexed citations
19.
Rolfe, Stephen A. & Julie D. Scholes. (1995). Quantitative imaging of chlorophyll fluorescence. New Phytologist. 131(1). 69–79. 56 indexed citations
20.
Stickler, D.J., et al.. (1989). Activity of antiseptics againstEscherichia coli growing as biofilms on silicone surfaces. European Journal of Clinical Microbiology & Infectious Diseases. 8(11). 974–978. 30 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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