Gerd GÄde

9.5k total citations
257 papers, 7.3k citations indexed

About

Gerd GÄde is a scholar working on Cellular and Molecular Neuroscience, Genetics and Insect Science. According to data from OpenAlex, Gerd GÄde has authored 257 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Cellular and Molecular Neuroscience, 126 papers in Genetics and 126 papers in Insect Science. Recurrent topics in Gerd GÄde's work include Neurobiology and Insect Physiology Research (185 papers), Insect and Arachnid Ecology and Behavior (122 papers) and Insect Utilization and Effects (83 papers). Gerd GÄde is often cited by papers focused on Neurobiology and Insect Physiology Research (185 papers), Insect and Arachnid Ecology and Behavior (122 papers) and Insect Utilization and Effects (83 papers). Gerd GÄde collaborates with scholars based in South Africa, Germany and United States. Gerd GÄde's co-authors include Lutz Auerswald, Heather G. Marco, Klaus H. Hoffmann, Jeffrey H. Spring, G.J. Goldsworthy, Roland Kellner, Kenneth L. Rinehart, Petr Šimek, Reinhard Predel and Manfred K. Grieshaber and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physiological Reviews.

In The Last Decade

Gerd GÄde

254 papers receiving 7.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gerd GÄde 4.7k 3.1k 3.0k 1.5k 1.4k 257 7.3k
Cornelis J.P. Grimmelikhuijzen 5.3k 1.1× 1.7k 0.6× 1.9k 0.7× 1.2k 0.8× 2.6k 1.9× 148 7.9k
David A. Schooley 4.5k 0.9× 2.7k 0.9× 2.2k 0.7× 1.1k 0.7× 2.3k 1.7× 147 7.5k
Stephen S. Tobe 7.7k 1.6× 5.2k 1.7× 5.0k 1.7× 2.3k 1.5× 2.3k 1.7× 280 10.7k
Xavier Bellés 2.9k 0.6× 2.7k 0.9× 2.8k 1.0× 1.8k 1.2× 2.5k 1.8× 199 6.6k
Lawrence G. Harshman 1.5k 0.3× 2.1k 0.7× 2.2k 0.7× 2.7k 1.8× 1.2k 0.9× 95 7.4k
Arnold De Loof 7.7k 1.6× 4.4k 1.4× 3.8k 1.3× 1.7k 1.2× 3.3k 2.4× 411 11.4k
Jozef Vanden Broeck 4.8k 1.0× 3.4k 1.1× 2.5k 0.8× 1.0k 0.7× 3.2k 2.3× 232 8.0k
Jesper Givskov Sørensen 1.9k 0.4× 2.5k 0.8× 3.2k 1.1× 2.3k 1.5× 2.1k 1.5× 186 9.4k
Ian Orchard 5.3k 1.1× 3.1k 1.0× 2.1k 0.7× 1.1k 0.8× 1.4k 1.1× 216 6.5k
Gary J. Blomquist 2.8k 0.6× 7.1k 2.3× 5.2k 1.8× 3.5k 2.4× 2.1k 1.5× 203 10.5k

Countries citing papers authored by Gerd GÄde

Since Specialization
Citations

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

Fields of papers citing papers by Gerd GÄde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerd GÄde

This figure shows the co-authorship network connecting the top 25 collaborators of Gerd GÄde. A scholar is included among the top collaborators of Gerd GÄde 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 Gerd GÄde. Gerd GÄde 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.
GÄde, Gerd, Simone König, & Heather G. Marco. (2025). Structural Diversity of Adipokinetic Hormones in the Coleopteran Suborder Polyphaga (Excluding Cucujiformia). Archives of Insect Biochemistry and Physiology. 118(3). e70049–e70049.
2.
Marco, Heather G., et al.. (2023). Comparative analysis of adipokinetic hormones and their receptors in Blattodea reveals novel patterns of gene evolution. Insect Molecular Biology. 32(6). 615–633. 7 indexed citations
3.
Marco, Heather G., Simone König, & Gerd GÄde. (2023). Predicted novel hypertrehalosaemic peptides of cockroaches are verified by mass spectrometry. Amino Acids. 55(11). 1641–1654. 3 indexed citations
4.
GÄde, Gerd & Heather G. Marco. (2023). The unique C‐mannosylated hypertrehalosemic hormone of Carausius morosus: Identity, release, and biological activity. Archives of Insect Biochemistry and Physiology. 113(3). e22016–e22016. 1 indexed citations
5.
Jackson, Graham E., Elumalai Pavadai, Gerd GÄde, & Niels H. Andersen. (2019). The adipokinetic hormones and their cognate receptor from the desert locust, Schistocerca gregaria : solution structure of endogenous peptides and models of their binding to the receptor. PeerJ. 7. e7514–e7514. 12 indexed citations
6.
7.
GÄde, Gerd, Matthias Lorenz, & Klaus H. Hoffmann. (2013). Stick insect (Carausius morosus; Phasmatodea: Lonchodidae) brain extract contains multiple fractions with allatostatic activity. European Journal of Entomology. 94(3). 361–368.
8.
GÄde, Gerd & Lutz Auerswald. (2013). Flight substrates in blister beetles (Coleoptera: Meloidae) and their regulation by neuropeptides of the AKH/RPCH family. European Journal of Entomology. 96(3). 331–335.
9.
Predel, Reinhard, Roland Kellner, & Gerd GÄde. (2013). Myotropic neuropeptides from the retrocerebral complex of the stick insect, Carausius morosus (Phasmatodea: Lonchodidae). European Journal of Entomology. 96(3). 275–278. 8 indexed citations
10.
Zubrzycki, Igor Z. & Gerd GÄde. (2013). Conformational study on a representative member of the AKH/RPCH neuropeptide family, Emp-AKH, in the presence of SDS micelle. European Journal of Entomology. 96(3). 337–340. 2 indexed citations
11.
GÄde, Gerd, Petr Šimek, & Heather G. Marco. (2008). The first identified neuropeptide in the insect order Megaloptera: A novel member of the adipokinetic hormone family in the alderfly Sialis lutaria. Peptides. 30(3). 477–482. 14 indexed citations
12.
GÄde, Gerd. (2005). Adipokinetic hormones and the hormonal control of metabolic activity in Hemiptera. 49–54. 5 indexed citations
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15.
Akudugu, John, Gerd GÄde, & L. Böhm. (2001). Cytotoxicity of azadirachtin A in human glioblastoma cell lines. Life Sciences. 68(10). 1153–1160. 36 indexed citations
16.
Auerswald, Lutz, Heather G. Marco, & Gerd GÄde. (2000). Metabolic aspects of flight in the dung beetle Pachylomerus femoralis (Kirby) (Coleoptera: Scarabaeidae). African Entomology. 8(2). 243–249. 1 indexed citations
17.
GÄde, Gerd & Lutz Auerswald. (2000). Flight substrates and their regulation by a member of the AKH/RPCH family of neuropeptides in Cerambycidae. Journal of Insect Physiology. 46(12). 1575–1584. 14 indexed citations
18.
Köllisch, Gabriele, Peter Verhaert, Matthias Lorenz, et al.. (1999). Structure elucidation of Mas-AKH as the major adipokinetic hormone in the butterfly Vanessa cardui (Lepidoptera: Nymphalidae). European Journal of Entomology. 96(3). 309–315. 9 indexed citations
19.
GÄde, Gerd & Lutz Auerswald. (1998). Flight metabolism in carpenter bees and primary structure of their hypertrehalosaemic peptide. 3(6). 1–11. 12 indexed citations
20.
GÄde, Gerd. (1997). A metabolic neuropeptide from the corpus cardiacum of antlions (Neuroptera: Myrmeleontidae): purification and identification. African Entomology. 5(2). 213–230. 5 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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