Ralf Stanewsky
- Endocrine and Autonomic Systems top 0.05%
- Cellular and Molecular Neuroscience top 0.2%
- Plant Science top 0.5%
- Molecular Biology top 10%
- Genetics top 5%
- Co-authors
- Jeffrey C. HallCharlotte Helfrich‐FörsterMichael RosbashPatrick EmerySteve A. KayChristian BrandesJadwiga M. GiebułtowiczMaki Kaneko
- Topics
- Circadian rhythm and melatonin (70 papers)Neurobiology and Insect Physiology Research (61 papers)Light effects on plants (36 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Ralf Stanewsky
81 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Endocrine and Autonomic Systems 4.7k
- Cellular and Molecular Neuroscience 4.1k
- Plant Science 3.0k
- Molecular Biology 726
- Genetics 689
Countries citing papers authored by Ralf Stanewsky
This map shows the geographic impact of Ralf Stanewsky'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 Ralf Stanewsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Stanewsky more than expected).
Fields of papers citing papers by Ralf Stanewsky
This network shows the impact of papers produced by Ralf Stanewsky. 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 Ralf Stanewsky. The network helps show where Ralf Stanewsky may publish in the future.
Co-authorship network of co-authors of Ralf Stanewsky
This figure shows the co-authorship network connecting the top 25 collaborators of Ralf Stanewsky. A scholar is included among the top collaborators of Ralf Stanewsky 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 Ralf Stanewsky. Ralf Stanewsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 14 | |
| 10 | Development of novel AIP (Aryl hydrocarbon receptor-interacting protein) gene study models using the fruitfly and the zebrafish | 1 |
| 11 | 31 | |
| 12 | 26 | |
| 13 | 35 | |
| 14 | 141 | |
| 15 | 164 | |
| 16 | 133 | |
| 17 | 94 | |
| 18 | 203 | |
| 19 | 9 | |
| 20 | The cryb Mutation Identifies Cryptochrome as a Circadian Photoreceptor in Drosophilabreakdown → | 782 |
About Ralf Stanewsky
Ralf Stanewsky is a scholar working on Endocrine and Autonomic Systems, Aging and Cellular and Molecular Neuroscience, having authored 81 papers that have together received 6.0k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (70 papers), Neurobiology and Insect Physiology Research (61 papers) and Light effects on plants (36 papers). The work is most often cited by research in Endocrine and Autonomic Systems (4.7k citations), Aging (629 citations) and Cellular and Molecular Neuroscience (4.1k citations). Ralf Stanewsky has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Jeffrey C. Hall, Charlotte Helfrich‐Förster, Michael Rosbash, Patrick Emery, Steve A. Kay, Christian Brandes, Jadwiga M. Giebułtowicz, Maki Kaneko, Karen Wager‐Smith and Shobi Veleri. Their work appears in journals such as Nature, Science and Cell.
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.