Jonathan J. Ewbank
- Aging top 0.02%
- Molecular Biology top 2%
- Endocrine and Autonomic Systems top 0.5%
- Immunology top 2%
- Insect Science top 0.5%
- Co-authors
- Nathalie PujolC. Léopold KurzCarole CouillaultThomas E. CreightonHinrich SchulenburgOlivier ZugastiElizabeth PradelYuji Kohara
- Topics
- Genetics, Aging, and Longevity in Model Organisms (59 papers)Circadian rhythm and melatonin (18 papers)CRISPR and Genetic Engineering (11 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Jonathan J. Ewbank
88 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Aging 3.3k
- Molecular Biology 3.0k
- Endocrine and Autonomic Systems 1.0k
- Immunology 946
- Insect Science 832
Countries citing papers authored by Jonathan J. Ewbank
This map shows the geographic impact of Jonathan J. Ewbank'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 Jonathan J. Ewbank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan J. Ewbank more than expected).
Fields of papers citing papers by Jonathan J. Ewbank
This network shows the impact of papers produced by Jonathan J. Ewbank. 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 Jonathan J. Ewbank. The network helps show where Jonathan J. Ewbank may publish in the future.
Co-authorship network of co-authors of Jonathan J. Ewbank
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan J. Ewbank. A scholar is included among the top collaborators of Jonathan J. Ewbank 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 Jonathan J. Ewbank. Jonathan J. Ewbank is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 6 | |
| 3 | 19 | |
| 4 | 31 | |
| 5 | 32 | |
| 6 | 19 | |
| 7 | 62 | |
| 8 | 2 | |
| 9 | 161 | |
| 10 | 7 | |
| 11 | A Model of Bacterial Intestinal Infections in Drosophila melanogasterbreakdown → | 281 |
| 12 | 166 | |
| 13 | 73 | |
| 14 | 2 | |
| 15 | 21 | |
| 16 | The homeodomain protein CePHOX2/CEH-17 controls antero-posterior axonal growth in C. elegans. | 3 |
| 17 | 107 | |
| 18 | 90 | |
| 19 | 42 | |
| 20 | 129 |
About Jonathan J. Ewbank
Jonathan J. Ewbank is a scholar working on Aging, Endocrine and Autonomic Systems and Endocrinology, having authored 90 papers that have together received 6.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (59 papers), Circadian rhythm and melatonin (18 papers) and CRISPR and Genetic Engineering (11 papers). The work is most often cited by research in Aging (3.3k citations), Endocrine and Autonomic Systems (1.0k citations) and Biological Psychiatry (199 citations). Jonathan J. Ewbank has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Nathalie Pujol, C. Léopold Kurz, Carole Couillault, Thomas E. Creighton, Hinrich Schulenburg, Olivier Zugasti, Elizabeth Pradel, Yuji Kohara, Jérôme Reboul and Daniel Wong. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.