Torsten Will

2.8k total citations
46 papers, 2.1k citations indexed

About

Torsten Will is a scholar working on Plant Science, Insect Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Torsten Will has authored 46 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 24 papers in Insect Science and 15 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Torsten Will's work include Insect-Plant Interactions and Control (20 papers), Plant and animal studies (15 papers) and Plant Virus Research Studies (15 papers). Torsten Will is often cited by papers focused on Insect-Plant Interactions and Control (20 papers), Plant and animal studies (15 papers) and Plant Virus Research Studies (15 papers). Torsten Will collaborates with scholars based in Germany, United Kingdom and Austria. Torsten Will's co-authors include Aart J. E. van Bel, Alexandra C. U. Furch, W. F. Tjallingii, Matthias R. Zimmermann, Andreas Vilcinskas, Jens B. Hafke, Karl‐Heinz Kogel, Aline Koch, Hubert Felle and Axel Mithöfer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Torsten Will

44 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Torsten Will Germany 20 1.6k 1.2k 533 316 126 46 2.1k
Hai‐Jian Huang China 27 861 0.6× 1.3k 1.1× 684 1.3× 192 0.6× 271 2.2× 86 1.9k
Jun‐Bo Luan China 24 1.3k 0.8× 2.1k 1.7× 700 1.3× 415 1.3× 292 2.3× 53 2.7k
Huipeng Pan China 33 1.5k 0.9× 2.2k 1.8× 1.5k 2.8× 208 0.7× 198 1.6× 89 3.1k
Jorunn I. B. Bos United Kingdom 27 3.1k 2.0× 1.2k 1.0× 703 1.3× 234 0.7× 102 0.8× 41 3.5k
Elaine A. Backus United States 32 2.0k 1.3× 2.4k 2.0× 535 1.0× 889 2.8× 399 3.2× 110 3.1k
Miranda M. A. Whitten United Kingdom 23 346 0.2× 1.2k 1.0× 672 1.3× 163 0.5× 224 1.8× 37 1.9k
Jeffrey A. Fabrick United States 31 1.2k 0.8× 2.0k 1.6× 2.1k 4.0× 99 0.3× 121 1.0× 77 2.8k
Sabine Nidelet France 16 275 0.2× 261 0.2× 274 0.5× 206 0.7× 251 2.0× 29 855
W. F. Tjallingii Netherlands 33 3.5k 2.3× 3.8k 3.1× 566 1.1× 1.2k 3.7× 316 2.5× 63 4.5k
Guixia Hao United States 19 803 0.5× 377 0.3× 369 0.7× 136 0.4× 214 1.7× 41 1.3k

Countries citing papers authored by Torsten Will

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Will

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torsten Will

This figure shows the co-authorship network connecting the top 25 collaborators of Torsten Will. A scholar is included among the top collaborators of Torsten Will 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 Torsten Will. Torsten Will 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.
Leybourne, Daniel J., Mark Whitehead, & Torsten Will. (2024). Genetic diversity in vector populations influences the transmission efficiency of an important plant virus. Biology Letters. 20(5). 20240095–20240095. 4 indexed citations
2.
Habekuß, Antje, et al.. (2024). Fine mapping a QTL for BYDV-PAV resistance in maize. Theoretical and Applied Genetics. 137(7). 163–163. 2 indexed citations
3.
Ruge‐Wehling, Brigitte, Torsten Will, Antje Habekuß, et al.. (2024). High-resolution mapping of Ryd4Hb, a major resistance gene to Barley yellow dwarf virus from Hordeum bulbosum. Theoretical and Applied Genetics. 137(3). 60–60. 3 indexed citations
4.
Will, Torsten, et al.. (2023). Formica fusca ants use aphid supplemented foods to alleviate effects during the acute phase of a fungal infection. Biology Letters. 19(11). 20230415–20230415. 4 indexed citations
5.
Will, Torsten, et al.. (2023). The Past, Present and Future of Wheat Dwarf Virus Management- A Review. Preprints.org. 3 indexed citations
6.
Will, Torsten, et al.. (2023). The Past, Present, and Future of Wheat Dwarf Virus Management—A Review. Plants. 12(20). 3633–3633. 5 indexed citations
7.
8.
Will, Torsten, et al.. (2023). From identification to forecasting: the potential of image recognition and artificial intelligence for aphid pest monitoring. Frontiers in Plant Science. 14. 1150748–1150748. 21 indexed citations
9.
Stahl, Andreas, et al.. (2023). Temporal and species‐specific resistance of sugar beet to green peach aphid and black bean aphid: mechanisms and implications for breeding. Pest Management Science. 80(2). 404–413. 5 indexed citations
10.
Ordon, Frank, et al.. (2023). Long-term data in agricultural landscapes indicate that insect decline promotes pests well adapted to environmental changes. Journal of Pest Science. 97(3). 1281–1297. 13 indexed citations
11.
Obermeier, Christian, Annaliese S. Mason, Torsten Meiners, et al.. (2022). Perspectives for integrated insect pest protection in oilseed rape breeding. Theoretical and Applied Genetics. 135(11). 3917–3946. 21 indexed citations
12.
Bell, James R., et al.. (2020). Long-term monitoring of insects in agricultural landscapes. OpenAgrar. 3 indexed citations
13.
Kunert, Grit, Matthias R. Zimmermann, Nina Theis, et al.. (2018). Barley yellow dwarf virus Infection Leads to Higher Chemical Defense Signals and Lower Electrophysiological Reactions in Susceptible Compared to Tolerant Barley Genotypes. Frontiers in Plant Science. 9. 145–145. 18 indexed citations
14.
Zimmermann, Matthias R., Axel Mithöfer, Torsten Will, Hubert Felle, & Alexandra C. U. Furch. (2016). Herbivore-Triggered Electrophysiological Reactions: Candidates for Systemic Signals in Higher Plants and the Challenge of Their Identification. PLANT PHYSIOLOGY. 170(4). 2407–2419. 86 indexed citations
15.
Abdellatef, Eltayb, Torsten Will, Aline Koch, et al.. (2015). Silencing the expression of the salivary sheath protein causes transgenerational feeding suppression in the aphid Sitobion avenae. Plant Biotechnology Journal. 13(6). 849–857. 97 indexed citations
16.
Will, Torsten & Andreas Vilcinskas. (2014). The structural sheath protein of aphids is required for phloem feeding. Insect Biochemistry and Molecular Biology. 57. 34–40. 98 indexed citations
17.
Furch, Alexandra C. U., Aart J. E. van Bel, & Torsten Will. (2014). Aphid salivary proteases are capable of degrading sieve-tube proteins. Journal of Experimental Botany. 66(2). 533–539. 61 indexed citations
18.
Ehlers, Katrin, et al.. (2010). Immunolocalization indicates plasmodesmal trafficking of storage proteins during cambial reactivation in Populus nigra. Annals of Botany. 106(3). 385–394. 11 indexed citations
19.
Will, Torsten, et al.. (2007). Molecular sabotage of plant defense by aphid saliva. Proceedings of the National Academy of Sciences. 104(25). 10536–10541. 399 indexed citations
20.
Rösch, Wolfgang, et al.. (1980). Comparison of composted bark and peat substrates for tomatoes.. 35(50). 2154–2156. 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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