Stephan Schneuwly
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 0.5%
- Endocrine and Autonomic Systems top 1%
- Plant Science top 5%
- Genetics top 5%
- Co-authors
- Walter J. GehringJ BotellaWilliam L. PakJuan A. NavarroR KlemenzRandall D. ShortridgeAlois HofbauerAtsushi Kuroiwa
- Topics
- Neurobiology and Insect Physiology Research (22 papers)Mitochondrial Function and Pathology (9 papers)Genetic Neurodegenerative Diseases (8 papers)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Stephan Schneuwly
52 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 2.3k
- Cellular and Molecular Neuroscience 1.9k
- Endocrine and Autonomic Systems 609
- Plant Science 485
- Genetics 481
Countries citing papers authored by Stephan Schneuwly
This map shows the geographic impact of Stephan Schneuwly'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 Stephan Schneuwly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Schneuwly more than expected).
Fields of papers citing papers by Stephan Schneuwly
This network shows the impact of papers produced by Stephan Schneuwly. 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 Stephan Schneuwly. The network helps show where Stephan Schneuwly may publish in the future.
Co-authorship network of co-authors of Stephan Schneuwly
This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Schneuwly. A scholar is included among the top collaborators of Stephan Schneuwly 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 Stephan Schneuwly. Stephan Schneuwly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 31 | |
| 4 | 33 | |
| 5 | 16 | |
| 6 | 12 | |
| 7 | 26 | |
| 8 | 53 | |
| 9 | 50 | |
| 10 | 63 | |
| 11 | 74 | |
| 12 | 11 | |
| 13 | 48 | |
| 14 | 21 | |
| 15 | 65 | |
| 16 | 90 | |
| 17 | 47 | |
| 18 | 14 | |
| 19 | Isolation of a putative phospholipase c gene of drosophila, norpA, and its role in phototransductionbreakdown → | 554 |
| 20 | 101 |
About Stephan Schneuwly
Stephan Schneuwly is a scholar working on Aging, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 52 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (22 papers), Mitochondrial Function and Pathology (9 papers) and Genetic Neurodegenerative Diseases (8 papers). The work is most often cited by research in Aging (245 citations), Cellular and Molecular Neuroscience (1.9k citations) and Endocrine and Autonomic Systems (609 citations). Stephan Schneuwly has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Walter J. Gehring, J Botella, William L. Pak, Juan A. Navarro, R Klemenz, Randall D. Shortridge, Alois Hofbauer, Atsushi Kuroiwa, Charlotte Helfrich‐Förster and Brian T. Bloomquist. 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.