Thure P. Hauser

2.3k total citations
67 papers, 1.8k citations indexed

About

Thure P. Hauser is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Thure P. Hauser has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Plant Science, 31 papers in Molecular Biology and 17 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Thure P. Hauser's work include Genetically Modified Organisms Research (18 papers), Plant and animal studies (11 papers) and CRISPR and Genetic Engineering (10 papers). Thure P. Hauser is often cited by papers focused on Genetically Modified Organisms Research (18 papers), Plant and animal studies (11 papers) and CRISPR and Genetic Engineering (10 papers). Thure P. Hauser collaborates with scholars based in Denmark, Germany and United States. Thure P. Hauser's co-authors include Rikke Bagger Jørgensen, Volker Loeschcke, Hanne Østergård, Carl Erik Olsen, Søren Bak, Ruth G. Shaw, Christian Damgaard, Vera Kuzina, Nicolai V. Meyling and Niels Agerbirk and has published in prestigious journals such as PLANT PHYSIOLOGY, Scientific Reports and New Phytologist.

In The Last Decade

Thure P. Hauser

66 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thure P. Hauser Denmark 26 1.2k 962 390 362 230 67 1.8k
Henri Darmency France 25 1.9k 1.6× 938 1.0× 346 0.9× 281 0.8× 106 0.5× 105 2.1k
Curt L. Brubaker Australia 26 2.7k 2.3× 842 0.9× 363 0.9× 244 0.7× 58 0.3× 46 3.1k
Laura J. Kelly United Kingdom 24 1.2k 1.1× 1.3k 1.4× 748 1.9× 444 1.2× 69 0.3× 30 2.2k
Charles‐Eric Durel France 29 2.4k 2.1× 739 0.8× 640 1.6× 418 1.2× 76 0.3× 78 2.8k
Albert G. Abbott United States 34 3.2k 2.8× 2.1k 2.2× 374 1.0× 434 1.2× 54 0.2× 91 3.8k
José Baldin Pinheiro Brazil 23 1.2k 1.0× 270 0.3× 279 0.7× 318 0.9× 63 0.3× 139 1.6k
Heather C. Rowe United States 19 1.5k 1.3× 1.2k 1.2× 193 0.5× 516 1.4× 34 0.1× 26 2.1k
Johan Van Huylenbroeck Belgium 23 1.7k 1.5× 1.3k 1.3× 411 1.1× 182 0.5× 50 0.2× 141 2.2k
A. N. E. Birch United Kingdom 20 1.0k 0.9× 609 0.6× 287 0.7× 107 0.3× 64 0.3× 41 1.5k
Barbara Vornam Germany 13 552 0.5× 546 0.6× 105 0.3× 217 0.6× 98 0.4× 35 1.1k

Countries citing papers authored by Thure P. Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Thure P. Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thure P. Hauser. 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 Thure P. Hauser. The network helps show where Thure P. Hauser may publish in the future.

Co-authorship network of co-authors of Thure P. Hauser

This figure shows the co-authorship network connecting the top 25 collaborators of Thure P. Hauser. A scholar is included among the top collaborators of Thure P. Hauser 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 Thure P. Hauser. Thure P. Hauser 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.
García, Juan M., Paolina Garbeva, Nicole M. van Dam, et al.. (2024). Beneficial soil fungi enhance tomato crop productivity and resistance to the leaf-mining pest Tuta absoluta in agronomic conditions. Agronomy for Sustainable Development. 44(6). 6 indexed citations
2.
Rezek, Jan, et al.. (2024). Does fungal infection increase the palatability of oilseed rape to insects?. Pest Management Science. 80(5). 2480–2494. 2 indexed citations
3.
Burow, Meike, et al.. (2023). Defense priming in cabbage (Brassica oleracea) by insect-pathogenic fungi. Arthropod-Plant Interactions. 17(3). 275–287. 7 indexed citations
4.
Lange, Conny Bruun Asmussen, et al.. (2022). Hybridization and complex evolution of Barbarea vulgaris and related species (Brassicaceae). Molecular Phylogenetics and Evolution. 169. 107425–107425. 4 indexed citations
5.
Hauser, Thure P., et al.. (2021). Effects of a saponin-based insect resistance and a systemic pathogen resistance on field performance of the wild crucifer Barbarea vulgaris. Arthropod-Plant Interactions. 15(5). 683–698. 2 indexed citations
6.
7.
Meyling, Nicolai V., et al.. (2020). Induction and Priming of Plant Defense by Root-Associated Insect-Pathogenic Fungi. Journal of Chemical Ecology. 47(1). 112–122. 24 indexed citations
8.
Liu, Qing, Bekzod Khakimov, Pablo D. Cárdenas, et al.. (2019). The cytochrome P450 CYP72A552 is key to production of hederagenin‐based saponins that mediate plant defense against herbivores. New Phytologist. 222(3). 1599–1609. 47 indexed citations
9.
10.
Agerbirk, Niels, et al.. (2014). Different Geographical Distributions of Two Chemotypes of Barbarea vulgaris that Differ in Resistance to Insects and a Pathogen. Journal of Chemical Ecology. 40(5). 491–501. 30 indexed citations
11.
Kuzina, Vera, et al.. (2014). Consequences of combined herbivore feeding and pathogen infection for fitness of Barbarea vulgaris plants. Oecologia. 175(2). 589–600. 32 indexed citations
12.
Kinyamario, J. I., et al.. (2009). Dispersal distance of rice (Oryza Sativa L.) pollen at the Tana River delta in the coast province, Kenya. AFRICAN JOURNAL OF BIOTECHNOLOGY. 8(10). 2265–2270. 8 indexed citations
13.
Thiele, J., Torben Hansen, Hans R. Siegismund, & Thure P. Hauser. (2009). Genetic variation of inbreeding depression among floral and fitness traits in Silene nutans. Heredity. 104(1). 52–60. 20 indexed citations
14.
Hauser, Thure P. & Sang In Shim. (2007). Survival and flowering of hybrids between cultivated and wild carrots (Daucus carota) in Danish grasslands. PubMed. 6(4). 237–247. 14 indexed citations
15.
Hauser, Thure P., et al.. (2004). Extreme Variation in Flowering Time between Populations of Silene Nutans. Hereditas. 132(2). 95–101. 18 indexed citations
16.
Hauser, Thure P., et al.. (2004). Precocious Germination of Brassica Rapa X B. Napus Seeds within Pods. Hereditas. 130(1). 89–93. 7 indexed citations
17.
Hauser, Thure P., Christian Damgaard, & Rikke Bagger Jørgensen. (2003). Frequency‐dependent fitness of hybrids between oilseed rape (Brassica napus) and weedy B. rapa (Brassicaceae). American Journal of Botany. 90(4). 571–578. 50 indexed citations
18.
Hauser, Thure P., et al.. (2002). Male fitness of oilseed rape (Brassica napus), weedy B. rapa and their F1 hybrids when pollinating B. rapa seeds. Heredity. 89(3). 212–218. 51 indexed citations
19.
Hauser, Thure P., Rikke Bagger Jørgensen, & Hanne Østergård. (1998). Fitness of backcross and F2 hybrids between weedy Brassica rapa and oilseed rape (B. napus). Heredity. 81(4). 436–443. 101 indexed citations
20.
Hauser, Thure P., Rikke Bagger Jørgensen, & Hanne Østergård. (1998). Fitness of backcross and F2 hybrids between weedy Brassica rapa and oilseed rape(B. napus). Heredity. 81(4). 436–443. 10 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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