Marina Telonis‐Scott
- Genetics top 5%
- Ecology top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Ary A. HoffmannCarla M. SgròKatherine A. HarrissonPaul SunnucksAlexandra PavlovaLauren M. McIntyreRebecca HallasMarta L. Wayne
- Topics
- Physiological and biochemical adaptations (13 papers)Neurobiology and Insect Physiology Research (9 papers)Animal Behavior and Reproduction (6 papers)
- Cited by
- AgingGeneticsEcological Modeling
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Marina Telonis‐Scott
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Genetics 595
- Ecology 453
- Ecology, Evolution, Behavior and Systematics 321
- Molecular Biology 236
- Cellular and Molecular Neuroscience 228
Countries citing papers authored by Marina Telonis‐Scott
This map shows the geographic impact of Marina Telonis‐Scott'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 Marina Telonis‐Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Telonis‐Scott more than expected).
Fields of papers citing papers by Marina Telonis‐Scott
This network shows the impact of papers produced by Marina Telonis‐Scott. 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 Marina Telonis‐Scott. The network helps show where Marina Telonis‐Scott may publish in the future.
Co-authorship network of co-authors of Marina Telonis‐Scott
This figure shows the co-authorship network connecting the top 25 collaborators of Marina Telonis‐Scott. A scholar is included among the top collaborators of Marina Telonis‐Scott 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 Marina Telonis‐Scott. Marina Telonis‐Scott 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 | 1 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 21 | |
| 8 | 200 | |
| 9 | 23 | |
| 10 | 57 | |
| 11 | 25 | |
| 12 | 69 | |
| 13 | 40 | |
| 14 | 5 | |
| 15 | 67 | |
| 16 | 63 | |
| 17 | 93 | |
| 18 | 17 | |
| 19 | 104 | |
| 20 | 7 |
About Marina Telonis‐Scott
Marina Telonis‐Scott is a scholar working on Aging, Ecology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (13 papers), Neurobiology and Insect Physiology Research (9 papers) and Animal Behavior and Reproduction (6 papers). The work is most often cited by research in Aging (75 citations), Genetics (595 citations) and Ecological Modeling (87 citations). Marina Telonis‐Scott has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Ary A. Hoffmann, Carla M. Sgrò, Katherine A. Harrisson, Paul Sunnucks, Alexandra Pavlova, Lauren M. McIntyre, Rebecca Hallas, Marta L. Wayne, Sergey V. Nuzhdin and Artyom Kopp. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Genetics.
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.