Göran Birgersson

4.0k total citations
87 papers, 2.8k citations indexed

About

Göran Birgersson is a scholar working on Insect Science, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Göran Birgersson has authored 87 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Insect Science, 44 papers in Ecology and 23 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Göran Birgersson's work include Insect and Pesticide Research (47 papers), Forest Insect Ecology and Management (42 papers) and Insect-Plant Interactions and Control (21 papers). Göran Birgersson is often cited by papers focused on Insect and Pesticide Research (47 papers), Forest Insect Ecology and Management (42 papers) and Insect-Plant Interactions and Control (21 papers). Göran Birgersson collaborates with scholars based in Sweden, United States and Germany. Göran Birgersson's co-authors include Fredrik Schlyter, John A. Byers, Rickard Ignell, Olle Anderbrant, Qing‐He Zhang, Sharon R. Hill, Marie Bengtsson, Peter Witzgall, Anders Leufvén and Peter Anderson and has published in prestigious journals such as Science, Bioresource Technology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Göran Birgersson

87 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Göran Birgersson Sweden 33 1.9k 1.4k 726 626 413 87 2.8k
Hervé Colinet France 34 2.1k 1.1× 1.9k 1.4× 860 1.2× 766 1.2× 1.2k 2.9× 98 3.9k
Casper Nyamukondiwa Botswana 26 1.1k 0.6× 843 0.6× 418 0.6× 544 0.9× 625 1.5× 91 1.9k
Stephen W. McKechnie Australia 35 1.3k 0.7× 1.3k 1.0× 972 1.3× 500 0.8× 1.2k 2.8× 80 4.0k
S. N. Thompson United States 23 1.8k 0.9× 584 0.4× 409 0.6× 812 1.3× 325 0.8× 121 2.6k
Thierry Hance Belgium 36 3.2k 1.7× 733 0.5× 1.3k 1.8× 2.1k 3.4× 773 1.9× 224 4.7k
Lisa Neven United States 32 1.8k 1.0× 728 0.5× 439 0.6× 1.6k 2.6× 495 1.2× 110 3.2k
David K. Weaver United States 32 2.3k 1.2× 414 0.3× 808 1.1× 2.3k 3.6× 451 1.1× 164 3.8k
Konrad Dettner Germany 31 1.7k 0.9× 616 0.5× 1.3k 1.8× 699 1.1× 668 1.6× 174 3.1k
François Verheggen Belgium 42 4.0k 2.1× 638 0.5× 1.6k 2.2× 2.2k 3.5× 967 2.3× 236 5.4k
Gadi V. P. Reddy United States 33 2.8k 1.4× 542 0.4× 983 1.4× 2.0k 3.3× 395 1.0× 235 4.0k

Countries citing papers authored by Göran Birgersson

Since Specialization
Citations

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

Fields of papers citing papers by Göran Birgersson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Göran Birgersson

This figure shows the co-authorship network connecting the top 25 collaborators of Göran Birgersson. A scholar is included among the top collaborators of Göran Birgersson 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 Göran Birgersson. Göran Birgersson 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
2.
Schlyter, Fredrik, et al.. (2023). Predator odor can reduce acorn removal by granivorous rodents in mixed oak forest stands. Forest Ecology and Management. 548. 121411–121411. 4 indexed citations
3.
Birgersson, Göran, et al.. (2023). Odors Attracting the Long-Legged Predator Medetera signaticornis Loew to Ips typographus L. Infested Norway Spruce Trees. Journal of Chemical Ecology. 49(7-8). 451–464. 9 indexed citations
4.
Hill, Sharon R., et al.. (2020). Plasmodium falciparum gametocyte-induced volatiles enhance attraction of Anopheles mosquitoes in the field. Malaria Journal. 19(1). 327–327. 12 indexed citations
5.
Birgersson, Göran, et al.. (2019). Using synthetic semiochemicals to train canines to detect bark beetle–infested trees. Annals of Forest Science. 76(2). 17 indexed citations
7.
Carrasco, Davíd, Olle Anderbrant, Glenn P. Svensson, et al.. (2019). Characterization of olfactory sensory neurons in the red clover seed weevil, Protapion trifolii (Coleoptera: Brentidae) and comparison to the closely related species P. fulvipes. Journal of Insect Physiology. 119. 103948–103948. 4 indexed citations
8.
Molnár, Béla Péter, et al.. (2018). Ecological and Phylogenetic Relationships Shape the Peripheral Olfactory Systems of Highly Specialized Gall Midges (Cecidomiiydae). Frontiers in Physiology. 9. 323–323. 19 indexed citations
9.
Emami, S. Noushin, Bo Gustav Lindberg, Sharon R. Hill, et al.. (2017). A key malaria metabolite modulates vector blood seeking, feeding, and susceptibility to infection. Science. 355(6329). 1076–1080. 73 indexed citations
10.
Conchou, Lucie, Peter Anderson, & Göran Birgersson. (2017). Host Plant Species Differentiation in a Polyphagous Moth: Olfaction is Enough. Journal of Chemical Ecology. 43(8). 794–805. 27 indexed citations
11.
Hill, Sharon R., et al.. (2017). A(maize)ing attraction: gravid Anopheles arabiensis are attracted and oviposit in response to maize pollen odours. Malaria Journal. 16(1). 39–39. 38 indexed citations
12.
Hill, Sharon R., et al.. (2016). Chicken volatiles repel host-seeking malaria mosquitoes. Malaria Journal. 15(1). 354–354. 35 indexed citations
13.
Majeed, Shahid, Sharon R. Hill, Göran Birgersson, & Rickard Ignell. (2016). Detection and perception of generic host volatiles by mosquitoes modulate host preference: context dependence of (R)-1-octen-3-ol. Royal Society Open Science. 3(11). 160467–160467. 36 indexed citations
14.
Binyameen, Muhammad, Peter Anderson, Rickard Ignell, et al.. (2014). Identification of Plant Semiochemicals and Characterization of New Olfactory Sensory Neuron Types in a Polyphagous Pest Moth, Spodoptera littoralis. Chemical Senses. 39(8). 719–733. 17 indexed citations
15.
Binyameen, Muhammad, et al.. (2013). Modulation of Reproductive Behaviors by Non-Host Volatiles in the Polyphagous Egyptian Cotton Leafworm, Spodoptera littoralis. Journal of Chemical Ecology. 39(10). 1273–1283. 19 indexed citations
16.
Proffit, Magali, et al.. (2011). Attraction and Oviposition of Tuta absoluta Females in Response to Tomato Leaf Volatiles. Journal of Chemical Ecology. 37(6). 565–574. 115 indexed citations
17.
Jactel, Hervé, Göran Birgersson, Stefan Andersson, & Fredrik Schlyter. (2011). Non-host volatiles mediate associational resistance to the pine processionary moth. Oecologia. 166(3). 703–711. 123 indexed citations
18.
19.
Schlyter, Fredrik, Mats Svensson, Qinghe Zhang, et al.. (2001). A model for peak and width of signaling windows: Ips duplicatus and Chilo partellus pheromone component proportions--does response have a wider window than production?. Journal of Chemical Ecology. 27(7). 1481–1511. 20 indexed citations
20.
Birgersson, Göran, Gary L. DeBarr, Peter de Groot, et al.. (1995). Pheromones in white pine cone beetle,Conophthorus coniperda (schwarz) (Coleoptera: Scolytidae). Journal of Chemical Ecology. 21(2). 143–167. 50 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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