Roland Strauß

4.7k total citations · 1 hit paper
66 papers, 3.5k citations indexed

About

Roland Strauß is a scholar working on Cellular and Molecular Neuroscience, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Roland Strauß has authored 66 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cellular and Molecular Neuroscience, 15 papers in Genetics and 14 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Roland Strauß's work include Neurobiology and Insect Physiology Research (46 papers), Insect and Arachnid Ecology and Behavior (13 papers) and Advanced Memory and Neural Computing (9 papers). Roland Strauß is often cited by papers focused on Neurobiology and Insect Physiology Research (46 papers), Insect and Arachnid Ecology and Behavior (13 papers) and Advanced Memory and Neural Computing (9 papers). Roland Strauß collaborates with scholars based in Germany, United States and Italy. Roland Strauß's co-authors include Martin Heisenberg, Burkhard Poeck, Tilman Triphan, Kirsa Neuser, Markus Mronz, Corey S. Goodman, Richard D. Fetter, Hong Wan, Aaron DiAntonio and K Bergström and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Roland Strauß

66 papers receiving 3.4k citations

Hit Papers

A Systematic Nomenclature for the Insect Brain 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roland Strauß Germany 27 2.6k 1.2k 943 817 374 66 3.5k
Ann‐Shyn Chiang Taiwan 36 3.1k 1.2× 1.4k 1.2× 836 0.9× 1.6k 1.9× 384 1.0× 115 5.2k
André Fiala Germany 31 2.6k 1.0× 1.1k 0.9× 732 0.8× 928 1.1× 224 0.6× 60 3.5k
Arnim Jenett France 14 1.9k 0.7× 1000 0.8× 815 0.9× 827 1.0× 273 0.7× 21 2.9k
Toshihiro Kitamoto United States 31 3.2k 1.2× 1.3k 1.1× 839 0.9× 1.1k 1.3× 275 0.7× 74 4.0k
Benjamin H. White United States 33 3.2k 1.2× 1.1k 0.9× 699 0.7× 1.6k 1.9× 360 1.0× 56 4.4k
Allan M. Wong United States 26 4.3k 1.6× 1.8k 1.5× 1.3k 1.4× 1.1k 1.4× 276 0.7× 33 5.5k
Henrike Scholz Germany 23 2.3k 0.9× 1.0k 0.9× 717 0.8× 1.1k 1.4× 327 0.9× 41 3.3k
Troy Zars United States 21 2.1k 0.8× 949 0.8× 790 0.8× 501 0.6× 171 0.5× 44 2.5k
M Eugenia Chiappe Portugal 13 2.5k 0.9× 873 0.7× 568 0.6× 861 1.1× 241 0.6× 19 3.4k
Jing W. Wang United States 29 4.6k 1.7× 1.8k 1.5× 1.3k 1.3× 1.1k 1.3× 439 1.2× 56 5.3k

Countries citing papers authored by Roland Strauß

Since Specialization
Citations

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

Fields of papers citing papers by Roland Strauß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Strauß

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Strauß. A scholar is included among the top collaborators of Roland Strauß 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 Roland Strauß. Roland Strauß 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.
Viskadourou, Maria, et al.. (2024). Biological aging of two innate behaviors of Drosophila melanogaster: Escape climbing versus courtship learning and memory. PLoS ONE. 19(4). e0293252–e0293252. 3 indexed citations
2.
Yang, Liping, Jaewoo Choi, Luke Marney, et al.. (2023). Chlorogenic Acids, Acting via Calcineurin, Are the Main Compounds in Centella asiatica Extracts That Mediate Resilience to Chronic Stress in Drosophila melanogaster. Nutrients. 15(18). 4016–4016. 5 indexed citations
3.
Poeck, Burkhard, et al.. (2022). Octopamine mediates sugar relief from a chronic-stress-induced depression-like state in Drosophila. Current Biology. 32(18). 4048–4056.e3. 14 indexed citations
4.
Cassar, Marlène, et al.. (2022). FTD-associated mutations in Tau result in a combination of dominant and recessive phenotypes. Neurobiology of Disease. 170. 105770–105770. 5 indexed citations
5.
Carmine-Simmen, Katia, et al.. (2018). Drosophila Full-Length Amyloid Precursor Protein Is Required for Visual Working Memory and Prevents Age-Related Memory Impairment. Current Biology. 28(5). 817–823.e3. 16 indexed citations
6.
Kuntz, Sara, Burkhard Poeck, & Roland Strauß. (2017). Visual Working Memory Requires Permissive and Instructive NO/cGMP Signaling at Presynapses in the Drosophila Central Brain. Current Biology. 27(5). 613–623. 36 indexed citations
7.
Arena, Paolo, et al.. (2017). Motor-Skill Learning in an Insect Inspired Neuro-Computational Control System. Frontiers in Neurorobotics. 11. 12–12. 23 indexed citations
8.
Arena, Paolo, et al.. (2015). Modelling the insect Mushroom Bodies: Application to sequence learning. Neural Networks. 67. 37–53. 13 indexed citations
9.
Ito, Kei, Kazunori Shinomiya, Masayoshi Ito, et al.. (2014). A Systematic Nomenclature for the Insect Brain. Neuron. 81(4). 755–765. 437 indexed citations breakdown →
10.
Poeck, Burkhard, et al.. (2013). Serum Response Factor-Mediated Gene Regulation in a Drosophila Visual Working Memory. Current Biology. 23(18). 1756–1763. 18 indexed citations
11.
Barth, Martin, M.O. Schultze, Christoph Schuster, & Roland Strauß. (2010). Circadian Plasticity in Photoreceptor Cells Controls Visual Coding Efficiency in Drosophila melanogaster. PLoS ONE. 5(2). e9217–e9217. 32 indexed citations
12.
Triphan, Tilman, Burkhard Poeck, Kirsa Neuser, & Roland Strauß. (2010). Visual Targeting of Motor Actions in Climbing Drosophila. Current Biology. 20(7). 663–668. 69 indexed citations
13.
Strauß, Roland, et al.. (2009). Mushroom Bodies Enhance Initial Motor Activity indrosophila. Journal of Neurogenetics. 23(1-2). 173–184. 35 indexed citations
14.
Carmine-Simmen, Katia, Thomas M. Proctor, Burkhard Poeck, et al.. (2008). Neurotoxic effects induced by the Drosophila amyloid-β peptide suggest a conserved toxic function. Neurobiology of Disease. 33(2). 274–281. 94 indexed citations
15.
Kretzschmar, Doris, Alexandre Bettencourt da Cruz, Esther Asan, et al.. (2004). Glial and neuronal expression of polyglutamine proteins induce behavioral changes and aggregate formation in Drosophila. Glia. 49(1). 59–72. 44 indexed citations
16.
Strauß, Roland. (2002). The central complex and the genetic dissection of locomotor behaviour. Current Opinion in Neurobiology. 12(6). 633–638. 354 indexed citations
17.
Wan, Hong, Aaron DiAntonio, Richard D. Fetter, et al.. (2000). Highwire Regulates Synaptic Growth in Drosophila. Neuron. 26(2). 313–329. 318 indexed citations
18.
Strauß, Roland, et al.. (1998). Persistence of orientation toward a temporarily invisible landmark in Drosophila melanogaster. Journal of Comparative Physiology A. 182(4). 411–423. 56 indexed citations
19.
Strauß, Roland. (1996). A Sreen for EMS-Induced X-Linked locomotor Mutants in Drosophila Melanogaster. Journal of Neurogenetics. 53–54. 9 indexed citations
20.
Strauß, Roland, et al.. (1996). Larval Behavior of Drosophila Central Complex Mutants: Interactions Between No Bridge, Foraging, and Chaser. Journal of Neurogenetics. 11(1-2). 99–115. 28 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026