Jürgen Gadau

5.3k total citations
90 papers, 2.8k citations indexed

About

Jürgen Gadau is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Insect Science. According to data from OpenAlex, Jürgen Gadau has authored 90 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Genetics, 63 papers in Ecology, Evolution, Behavior and Systematics and 56 papers in Insect Science. Recurrent topics in Jürgen Gadau's work include Insect and Arachnid Ecology and Behavior (67 papers), Plant and animal studies (56 papers) and Insect and Pesticide Research (39 papers). Jürgen Gadau is often cited by papers focused on Insect and Arachnid Ecology and Behavior (67 papers), Plant and animal studies (56 papers) and Insect and Pesticide Research (39 papers). Jürgen Gadau collaborates with scholars based in Germany, United States and Netherlands. Jürgen Gadau's co-authors include John H. Werren, B. Hölldobler, Paul Schmid‐Hempel, Oliver Niehuis, Robert E. Page, Lena Wilfert, Jennifer H. Fewell, Jürgen Heınze, Martin Helmkampf and Roy Gross and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jürgen Gadau

88 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jürgen Gadau Germany 32 2.0k 1.8k 1.4k 378 358 90 2.8k
Laura K. Sirot United States 23 1.6k 0.8× 1.8k 1.0× 956 0.7× 357 0.9× 110 0.3× 40 2.9k
Yannick Wurm United Kingdom 22 1.4k 0.7× 1.1k 0.6× 849 0.6× 358 0.9× 285 0.8× 45 2.0k
Christian Braendle France 28 1.1k 0.6× 755 0.4× 1.1k 0.8× 782 2.1× 574 1.6× 58 3.2k
Harrington Wells United States 26 947 0.5× 1.3k 0.7× 823 0.6× 226 0.6× 376 1.1× 107 2.1k
Tanja Schwander Switzerland 32 2.1k 1.1× 1.8k 1.0× 871 0.6× 441 1.2× 379 1.1× 75 3.1k
Amro Zayed Canada 28 2.3k 1.1× 2.5k 1.4× 2.3k 1.7× 137 0.4× 267 0.7× 77 3.0k
Rita Cervo Italy 29 2.3k 1.2× 2.3k 1.3× 1.7k 1.2× 98 0.3× 352 1.0× 122 2.9k
Jérôme Orivel France 32 2.7k 1.3× 2.4k 1.4× 1.5k 1.1× 234 0.6× 488 1.4× 148 3.5k
Philip T. Starks United States 28 1.8k 0.9× 1.8k 1.0× 1.3k 0.9× 106 0.3× 135 0.4× 77 2.4k
Boris Baer Australia 39 3.4k 1.7× 3.4k 1.9× 2.6k 1.8× 239 0.6× 110 0.3× 92 4.3k

Countries citing papers authored by Jürgen Gadau

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Gadau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Gadau

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Gadau. A scholar is included among the top collaborators of Jürgen Gadau 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 Jürgen Gadau. Jürgen Gadau 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.
Kaiser, Marie I., Jürgen Gadau, Sylvia Kaiser, Caroline Müller, & S. Helene Richter. (2024). Individualized social niches in animals: Theoretical clarifications and processes of niche change. BioScience. 74(3). 146–158. 15 indexed citations
2.
Ernst, Uli, et al.. (2024). Evolutionary genomics of socially polymorphic populations of Pogonomyrmex californicus. BMC Biology. 22(1). 109–109. 8 indexed citations
3.
Mazade, Reece, Julie A. Mustard, Lothar Wissler, et al.. (2023). Tyramine and its Amtyr1 receptor modulate attention in honey bees (Apis mellifera). eLife. 12. 6 indexed citations
4.
Gadau, Jürgen, et al.. (2023). Decoding the genetic and chemical basis of sexual attractiveness in parasitic wasps. eLife. 12. 5 indexed citations
5.
6.
Kaiser, Marie I., Ulrich Krohs, Koen J. van Benthem, et al.. (2022). How Individualized Niches Arise: Defining Mechanisms of Niche Construction, Niche Choice, and Niche Conformance. BioScience. 72(6). 538–548. 44 indexed citations
7.
Bohn, Jonas, Reza Halabian, Lukas Schrader, et al.. (2020). Genome assembly and annotation of the California harvester ant Pogonomyrmex californicus. G3 Genes Genomes Genetics. 11(1). 7 indexed citations
8.
Cook, Chelsea N., Thiago Mosqueiro, Cahit Öztürk, et al.. (2020). Individual learning phenotypes drive collective behavior. Proceedings of the National Academy of Sciences. 117(30). 17949–17956. 38 indexed citations
9.
Müller, Caroline, Barbara A. Caspers, Jürgen Gadau, & Sylvia Kaiser. (2020). The Power of Infochemicals in Mediating Individualized Niches. Trends in Ecology & Evolution. 35(11). 981–989. 48 indexed citations
10.
Hölldobler, B., et al.. (2019). Intraspecific variation in colony founding behavior and social organization in the honey ant Myrmecocystus mendax. Insectes Sociaux. 66(2). 283–297. 9 indexed citations
11.
Catania, Francesco, Ulrich Krohs, Diana Ferro, et al.. (2016). The hologenome concept: we need to incorporate function. Theory in Biosciences. 136(3-4). 89–98. 12 indexed citations
12.
Wissler, Lothar, Jürgen Gadau, Daniel F. Simola, Martin Helmkampf, & Erich Bornberg‐Bauer. (2013). Mechanisms and Dynamics of Orphan Gene Emergence in Insect Genomes. Genome Biology and Evolution. 5(2). 439–455. 104 indexed citations
13.
Niehuis, Oliver, et al.. (2010). Genetics of cuticular hydrocarbon differences between males of the parasitoid wasps Nasonia giraulti and Nasonia vitripennis. Heredity. 107(1). 61–70. 29 indexed citations
14.
Gibson, Joshua D., Oliver Niehuis, Brian C. Verrelli, & Jürgen Gadau. (2010). Contrasting patterns of selective constraints in nuclear-encoded genes of the oxidative phosphorylation pathway in holometabolous insects and their possible role in hybrid breakdown in Nasonia. Heredity. 104(3). 310–317. 18 indexed citations
15.
Beukeboom, Leo W., Oliver Niehuis, Bart A. Pannebakker, et al.. (2010). A comparison of recombination frequencies in intraspecific versus interspecific mapping populations of Nasonia. Heredity. 104(3). 302–309. 23 indexed citations
16.
Wolschin, Florian & Jürgen Gadau. (2009). Deciphering Proteomic Signatures of Early Diapause in Nasonia. PLoS ONE. 4(7). e6394–e6394. 42 indexed citations
17.
Gadau, Jürgen, et al.. (2007). Bacterial microbiota associated with ants of the genus Tetraponera. Biological Journal of the Linnean Society. 90(3). 399–412. 72 indexed citations
18.
Anderson, Kirk E., et al.. (2006). DISTRIBUTION AND EVOLUTION OF GENETIC CASTE DETERMINATION IN Pogonomyrmex SEED-HARVESTER ANTS. Ecology. 87(9). 2171–2184. 58 indexed citations
19.
Pietsch, Christof, et al.. (2003). Eleven microsatellite markers in Nasonia, Ashmead 1904 (Hymenoptera; Pteromalidae). Molecular Ecology Notes. 4(1). 43–45. 9 indexed citations
20.
Gadau, Jürgen & R. H. L. Disney. (1996). The ant host (Hymenoptera: Formicidae) and hitherto unknown female of Menozziola obscuripes (Diptera: Phoridae). Sociobiology. 28(2). 177–181. 2 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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