Laura Schaevitz
- Molecular Biology
- Genetics top 5%
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Developmental Neuroscience top 2%
- Co-authors
- Joanne Berger-SweeneyBin ChenSusan K. McConnellNupur NagHeather BowlingNancy A. StearnsUte BergerLaura Ricceri
- Topics
- Genetics and Neurodevelopmental Disorders (9 papers)Autism Spectrum Disorder Research (7 papers)Neuroscience and Neuropharmacology Research (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyJournal of Neuroscience
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Laura Schaevitz
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 541
- Genetics 506
- Cognitive Neuroscience 387
- Cellular and Molecular Neuroscience 258
- Developmental Neuroscience 205
Countries citing papers authored by Laura Schaevitz
This map shows the geographic impact of Laura Schaevitz'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 Laura Schaevitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Schaevitz more than expected).
Fields of papers citing papers by Laura Schaevitz
This network shows the impact of papers produced by Laura Schaevitz. 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 Laura Schaevitz. The network helps show where Laura Schaevitz may publish in the future.
Co-authorship network of co-authors of Laura Schaevitz
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Schaevitz. A scholar is included among the top collaborators of Laura Schaevitz 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 Laura Schaevitz. Laura Schaevitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 7 | |
| 3 | 12 | |
| 4 | 23 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 29 | |
| 8 | 34 | |
| 9 | 29 | |
| 10 | 37 | |
| 11 | 30 | |
| 12 | 39 | |
| 13 | 26 | |
| 14 | 46 | |
| 15 | 16 | |
| 16 | 53 | |
| 17 | 22 | |
| 18 | 162 | |
| 19 | 8 | |
| 20 | 275 |
About Laura Schaevitz
Laura Schaevitz is a scholar working on Aging, Developmental Neuroscience and Cognitive Neuroscience, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (9 papers), Autism Spectrum Disorder Research (7 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Developmental Neuroscience (205 citations), Cognitive Neuroscience (387 citations) and Genetics (506 citations). Laura Schaevitz has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Joanne Berger-Sweeney, Bin Chen, Susan K. McConnell, Nupur Nag, Heather Bowling, Nancy A. Stearns, Ute Berger, Laura Ricceri, Nicolás Gómez and Maria Lim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of Neuroscience.
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.