Fabian M. Norry
- Ecology top 2%
- Ecology, Evolution, Behavior and Systematics top 2%
- Genetics top 5%
- Insect Science top 2%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Volker LoeschckeAlejandra C. ScannapiecoPablo SambucettiEsteban HassonJesper Givskov SørensenJuan C. VilardiOleg A. BubliyJuan J. Fanara
- Topics
- Physiological and biochemical adaptations (36 papers)Animal Behavior and Reproduction (26 papers)Genetics, Aging, and Longevity in Model Organisms (17 papers)
In The Last Decade
Fabian M. Norry
57 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 64
- Ecology 671
- Ecology, Evolution, Behavior and Systematics 549
- Genetics 477
- Insect Science 360
- Cellular and Molecular Neuroscience 245
Countries citing papers authored by Fabian M. Norry
This map shows the geographic impact of Fabian M. Norry'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 Fabian M. Norry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian M. Norry more than expected).
Fields of papers citing papers by Fabian M. Norry
This network shows the impact of papers produced by Fabian M. Norry. 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 Fabian M. Norry. The network helps show where Fabian M. Norry may publish in the future.
Co-authorship network of co-authors of Fabian M. Norry
This figure shows the co-authorship network connecting the top 25 collaborators of Fabian M. Norry. A scholar is included among the top collaborators of Fabian M. Norry 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 Fabian M. Norry. Fabian M. Norry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 57 | |
| 8 | 36 | |
| 9 | 40 | |
| 10 | Variation in senescence and associated traits between sympatric cactophilic sibling species of Drosophila. | 15 |
| 11 | 138 | |
| 12 | 4 | |
| 13 | 44 | |
| 14 | 52 | |
| 15 | 16 | |
| 16 | 31 | |
| 17 | 63 | |
| 18 | 40 | |
| 19 | 17 | |
| 20 | 8 |
About Fabian M. Norry
Fabian M. Norry is a scholar working on Aging, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (36 papers), Animal Behavior and Reproduction (26 papers) and Genetics, Aging, and Longevity in Model Organisms (17 papers). The work is most often cited by research in Aging (207 citations), Insect Science (360 citations) and Ecology, Evolution, Behavior and Systematics (549 citations). Fabian M. Norry has collaborated with scholars based in Argentina, Denmark and Russia. Frequent co-authors include Volker Loeschcke, Alejandra C. Scannapieco, Pablo Sambucetti, Esteban Hasson, Jesper Givskov Sørensen, Juan C. Vilardi, Oleg A. Bubliy, Juan J. Fanara, Jesper Dahlgaard and Romina V. Piccinali. Their work appears in journals such as Evolution, Molecular Ecology and Journal of Experimental Biology.
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.