Gerd GÄde

270 papers receiving 8.0k citations

Peers

Gerd GÄde
Comparison fields: 5 of 125
  • Cellular and Molecular Neuroscience 5.4k
  • Insect Science 3.4k
  • Genetics 3.3k
  • Ecology, Evolution, Behavior and Systematics 1.6k
  • Aquatic Science 548
Replace David A. Schooley with:
David A. Schooley United States
G.R. Wyatt Canada
Tetsuro Shinoda Japan
Gary J. Blomquist United States
Jozef Vanden Broeck Belgium
ROGER G.H. DOWNER Canada
Huw H. Rees United Kingdom
Lawrence I. Gilbert United States
Peter Karlson Germany
Shalom W. Applebaum Israel
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Citations per field
00.5×1.7×
David A. Schooley · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Gerd GÄde, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gerd GÄde Line = papers co-authored together Gerd GÄde links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 274 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997510
2 2003220
3 2004213
4 2003193
5 1983137
6 1986137
7 1997134
8 1984133
9 2009133
10 2009131
11 1988125
12 1990122
13 1990117
14 2009112
15 198498
16 200286
17 198584
18 200982
19 198081
20 198679

About Gerd GÄde

Gerd GÄde is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Genetics, Ecology, Evolution, Behavior and Systematics and Aquatic Science, having authored 274 papers that have together received 8.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (198 papers), Insect and Arachnid Ecology and Behavior (128 papers), Insect Utilization and Effects (89 papers), Insect and Pesticide Research (45 papers), Physiological and biochemical adaptations (24 papers), Hemiptera Insect Studies (20 papers), Aquaculture Nutrition and Growth (19 papers) and Plant and animal studies (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.4k citations), Insect Science (3.4k citations), Genetics (3.3k citations), Ecology, Evolution, Behavior and Systematics (1.6k citations) and Aquatic Science (548 citations). Gerd GÄde has collaborated with scholars based in South Africa, Germany and United States. Frequent co-authors include Lutz Auerswald, Heather G. Marco, Klaus Hubert Hoffmann, Jeffrey H. Spring, Graham John Goldsworthy, Roland Kellner, KENNETH L. Jr. RINEHART, Petr Šimek, Reinhard Predel and Manfred K. Grieshaber. Their work appears in journals such as Journal of Insect Physiology, Peptides, Physiological Entomology, Insect Biochemistry and Molecular Biology and Biochemical and Biophysical Research Communications.

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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