Roland Strauß
- Cellular and Molecular Neuroscience top 0.5%
- Genetics top 1%
- Ecology, Evolution, Behavior and Systematics top 1%
- Molecular Biology top 10%
- Cell Biology top 5%
- Co-authors
- Martin HeisenbergBurkhard PoeckTilman TriphanKirsa NeuserMarkus MronzCorey S. GoodmanRichard D. FetterHong Wan
- Topics
- Neurobiology and Insect Physiology Research (46 papers)Insect and Arachnid Ecology and Behavior (13 papers)Advanced Memory and Neural Computing (9 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Roland Strauß
66 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cellular and Molecular Neuroscience 2.6k
- Genetics 1.2k
- Ecology, Evolution, Behavior and Systematics 943
- Molecular Biology 817
- Cell Biology 374
Countries citing papers authored by Roland Strauß
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 14 | |
| 4 | 5 | |
| 5 | 16 | |
| 6 | 36 | |
| 7 | 23 | |
| 8 | 13 | |
| 9 | A Systematic Nomenclature for the Insect Brainbreakdown → | 437 |
| 10 | 18 | |
| 11 | 32 | |
| 12 | 69 | |
| 13 | 35 | |
| 14 | 94 | |
| 15 | 44 | |
| 16 | 354 | |
| 17 | 318 | |
| 18 | 56 | |
| 19 | A Sreen for EMS-Induced X-Linked locomotor Mutants in Drosophila Melanogaster | 9 |
| 20 | 28 |
About Roland Strauß
Roland Strauß is a scholar working on Cellular and Molecular Neuroscience, Aging and Ecology, Evolution, Behavior and Systematics, having authored 66 papers that have together received 3.5k indexed citations. Recurring topics across this 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). The work is most often cited by research in Cellular and Molecular Neuroscience (2.6k citations), Aging (201 citations) and Ecology, Evolution, Behavior and Systematics (943 citations). Roland Strauß has collaborated with scholars based in Germany, United States and Italy. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature 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.