Roland Beffa

3.8k total citations
76 papers, 2.6k citations indexed

About

Roland Beffa is a scholar working on Plant Science, Molecular Biology and Pollution. According to data from OpenAlex, Roland Beffa has authored 76 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Plant Science, 32 papers in Molecular Biology and 23 papers in Pollution. Recurrent topics in Roland Beffa's work include Weed Control and Herbicide Applications (52 papers), Plant tissue culture and regeneration (24 papers) and Pesticide and Herbicide Environmental Studies (23 papers). Roland Beffa is often cited by papers focused on Weed Control and Herbicide Applications (52 papers), Plant tissue culture and regeneration (24 papers) and Pesticide and Herbicide Environmental Studies (23 papers). Roland Beffa collaborates with scholars based in Germany, United States and Switzerland. Roland Beffa's co-authors include Frederick Meins, Rose‐Marie Hofer, Monique Thomas, Todd A. Gaines, Philip Westra, Paul‐Emile Pilet, Lothar Lorentz, Franck E. Dayan, Stephen B. Powles and Christopher Preston and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Roland Beffa

74 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roland Beffa Germany 28 2.3k 1.1k 656 223 160 76 2.6k
Tomas Bryngelsson Sweden 29 1.6k 0.7× 615 0.6× 84 0.1× 290 1.3× 154 1.0× 91 2.2k
Ghislaine Recorbet France 20 1.2k 0.5× 472 0.4× 129 0.2× 108 0.5× 268 1.7× 42 1.7k
James O. Berry United States 25 1.1k 0.5× 1.3k 1.2× 142 0.2× 176 0.8× 42 0.3× 53 1.9k
Marina Dermastia Slovenia 26 1.5k 0.7× 563 0.5× 110 0.2× 154 0.7× 130 0.8× 80 1.8k
Lynda M. Ciuffetti United States 30 2.7k 1.2× 879 0.8× 111 0.2× 230 1.0× 992 6.2× 53 3.2k
Muntazir Mushtaq India 18 1.1k 0.5× 474 0.4× 99 0.2× 68 0.3× 100 0.6× 46 1.5k
Sjoerd Van der Ent Netherlands 13 3.6k 1.6× 837 0.8× 71 0.1× 262 1.2× 437 2.7× 17 3.9k
Youn‐Sig Kwak South Korea 20 1.5k 0.7× 597 0.6× 46 0.1× 144 0.6× 382 2.4× 152 1.9k
Fangming Xiao United States 29 2.5k 1.1× 1.1k 1.1× 90 0.1× 41 0.2× 103 0.6× 69 2.8k
R. Heitefuß Germany 25 1.9k 0.8× 666 0.6× 59 0.1× 251 1.1× 723 4.5× 122 2.2k

Countries citing papers authored by Roland Beffa

Since Specialization
Citations

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

Fields of papers citing papers by Roland Beffa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Beffa

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Beffa. A scholar is included among the top collaborators of Roland Beffa 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 Roland Beffa. Roland Beffa 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.
Rigon, Carlos Alberto Gonsiorkiewicz, Anita Küpper, Alejandro Perez‐Jones, et al.. (2025). Function of cytochrome P450 CYP72A1182 in metabolic herbicide resistance evolution in Amaranthus palmeri populations. Journal of Experimental Botany. 76(10). 2891–2907. 2 indexed citations
2.
Beffa, Roland, et al.. (2025). Global trends and research insights on herbicide resistance: a bibliometric analysis. Phytoparasitica. 53(4).
3.
Beffa, Roland, et al.. (2024). An intronless tau class glutathione transferase detoxifies several herbicides in flufenacet-resistant ryegrass. PLANT PHYSIOLOGY. 196(2). 1254–1267. 4 indexed citations
4.
Lowe, C. C., Nawaporn Onkokesung, Roland Beffa, et al.. (2024). RNA and protein biomarkers for detecting enhanced metabolic resistance to herbicides mesosulfuron‐methyl and fenoxaprop‐ethyl in black‐grass (Alopecurus myosuroides). Pest Management Science. 80(6). 2539–2551. 4 indexed citations
5.
Rémy, Nicolas, et al.. (2024). Weed resistance prediction: a random forest analysis based on field histories. Frontiers in Agronomy. 6. 1 indexed citations
6.
Beffa, Roland, Jörg Freigang, Gudrun Lange, et al.. (2023). Designing New Protoporphyrinogen Oxidase-Inhibitors Carrying Potential Side Chain Isosteres to Enhance Crop Safety and Spectrum of Activity. Journal of Agricultural and Food Chemistry. 71(47). 18270–18284. 10 indexed citations
7.
Duke, Stephen O., Roland Beffa, Patrick J. Tranel, et al.. (2023). Discovery, mode of action, resistance mechanisms, and plan of action for sustainable use of Group 14 herbicides. Weed Science. 71(3). 173–188. 23 indexed citations
8.
Beffa, Roland, Jörg Freigang, Gudrun Lange, et al.. (2023). Design, synthesis and screening of herbicidal activity for new phenyl pyrazole‐based protoporphyrinogen oxidase‐inhibitors (PPO) overcoming resistance issues. Pest Management Science. 79(6). 2264–2280. 25 indexed citations
10.
Cai, Lichun, David Comont, Dana R. MacGregor, et al.. (2022). The blackgrass genome reveals patterns of non‐parallel evolution of polygenic herbicide resistance. New Phytologist. 237(5). 1891–1907. 22 indexed citations
11.
Murphy, Brent, Roland Beffa, & Patrick J. Tranel. (2021). Genetic architecture underlying HPPD ‐inhibitor resistance in a Nebraska Amaranthus tuberculatus population. Pest Management Science. 77(11). 4884–4891. 11 indexed citations
12.
Comont, David, C. C. Lowe, Richard Hull, et al.. (2020). Evolution of generalist resistance to herbicide mixtures reveals a trade-off in resistance management. Nature Communications. 11(1). 3086–3086. 87 indexed citations
14.
Takano, Hudson Kagueyama, Roland Beffa, Christopher Preston, Philip Westra, & Franck E. Dayan. (2020). Glufosinate enhances the activity of protoporphyrinogen oxidase inhibitors. Weed Science. 68(4). 324–332. 39 indexed citations
15.
Meyer, Chris J., et al.. (2020). Uptake, translocation, and metabolism of glyphosate, glufosinate, and dicamba mixtures in Echinochloa crus‐galli and Amaranthus palmeri. Pest Management Science. 76(9). 3078–3087. 21 indexed citations
16.
Zöllner, Peter, et al.. (2019). Glutathione transferase plays a major role in flufenacet resistance of ryegrass (Lolium spp.) field populations. Pest Management Science. 75(11). 3084–3092. 42 indexed citations
17.
Takano, Hudson Kagueyama, Roland Beffa, Christopher Preston, Philip Westra, & Franck E. Dayan. (2019). Reactive oxygen species trigger the fast action of glufosinate. Planta. 249(6). 1837–1849. 88 indexed citations
18.
Comont, David, et al.. (2019). Alterations in Life-History Associated With Non-target-site Herbicide Resistance in Alopecurus myosuroides. Frontiers in Plant Science. 10. 837–837. 15 indexed citations
19.
Cook, S. K., et al.. (2014). Current status of herbicide-resistant weeds in the UK. Rothamsted Repository (Rothamsted Repository). 20 indexed citations
20.
Fillinger, Sabine, et al.. (2010). Fenhexamid resistance in Botrytis pseudocinerea:Target modifications and fungicide detoxification. HAL (Le Centre pour la Communication Scientifique Directe). 1 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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