Gerhard M. Technau

8.9k citations
100 papers · 7.2k · h-index 47

Impact in

Papers in

Gerhard M. Technau

100 papers receiving 7.1k citations

Peers

Gerhard M. Technau
Comparison fields: 5 of 95
  • Aging 659
  • Cellular and Molecular Neuroscience 4.9k
  • Developmental Neuroscience 552
  • Cell Biology 1.2k
  • Molecular Biology 4.8k
Replace Michael Bate with:
Michael Bate United Kingdom
José A. Campos‐Ortega Germany
Tzumin Lee United States
Christian Klämbt Germany
Heinrich Reichert Switzerland
Vivian Budnik United States
Haig Keshishian United States
Kendal Broadie United States
Yoshiki Hotta Japan
Alain Ghysen Belgium
Gerhard M. Technau relative to Michael Bate United Kingdom Michael Bate's profile →
Citations per field
00.5×1.7×
Michael Bate · 1×
Citations per year

Countries citing papers authored by Gerhard M. Technau

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard M. Technau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerhard M. Technau. 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 Gerhard M. Technau. The network helps show where Gerhard M. Technau may publish in the future.

Co-authors

The 25 scholars most cited alongside Gerhard M. Technau, 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 Gerhard M. Technau Line = papers co-authored together Gerhard M. Technau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996447
2 1997366
3 1995339
4 1995301
5 2002251
6 1982221
7 1991204
8 1984204
9 1995181
10 1994172
11 2003161
12 1992146
13 1984136
14 2007125
15 1993124
16 1985119
17 1985114
18 1987113
19 1997105
20 2003103

About Gerhard M. Technau

Gerhard M. Technau is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Plant Science, Aging and Genetics, having authored 100 papers that have together received 7.2k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (72 papers), Neurobiology and Insect Physiology Research (61 papers), Plant Molecular Biology Research (20 papers), Genetics, Aging, and Longevity in Model Organisms (17 papers), Axon Guidance and Neuronal Signaling (14 papers), Invertebrate Immune Response Mechanisms (12 papers), Neurogenesis and neuroplasticity mechanisms (7 papers) and Insect and Arachnid Ecology and Behavior (7 papers). The work is most often cited by research in Aging (659 citations), Cellular and Molecular Neuroscience (4.9k citations), Developmental Neuroscience (552 citations), Cell Biology (1.2k citations) and Molecular Biology (4.8k citations). Gerhard M. Technau has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Torsten Bossing, Rolf Urbach, Joachim Urban, José A. Campos‐Ortega, Andreas Prokop, Christof Rickert, Chris Q. Doe, Martin Heisenberg, Gerald Udolph and Kei Ito. Their work appears in journals such as Development, Development Genes and Evolution, Developmental Biology, Journal of Neurogenetics and Mechanisms of Development.

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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