Laura Schaevitz
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research
Papers in
-
- Epigenetics and DNA Methylation 3
- Genetics 9
- Genetics and Neurodevelopmental Disorders 9
- Co-authors
- Joanne Berger-Sweeney (7 shared papers)Bin Chen (1 shared paper)Susan K. McConnell (1 shared paper)Nupur Nag (2 shared papers)Heather Bowling (1 shared paper)Nancy A. Stearns (1 shared paper)Ute Berger (1 shared paper)Laura Ricceri (1 shared paper)
- Journals
- Neuroscience (2 papers)PLoS ONE (2 papers)ILAR Journal (2 papers)The Journal of Immunology (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Laura Schaevitz
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Developmental Neuroscience 202
- Cognitive Neuroscience 369
- Genetics 501
- Cellular and Molecular Neuroscience 255
- Molecular Biology 526
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-authors
The 25 scholars most cited alongside Laura Schaevitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 277 | |
| 2 | 2007 | 162 | |
| 3 | 2012 | 154 | |
| 4 | 2010 | 53 | |
| 5 | 2012 | 46 | |
| 6 | 2013 | 40 | |
| 7 | 2014 | 38 | |
| 8 | 2016 | 35 | |
| 9 | 2014 | 32 | |
| 10 | 2016 | 29 | |
| 11 | 2017 | 29 | |
| 12 | 2012 | 27 | |
| 13 | 2022 | 26 | |
| 14 | 2019 | 23 | |
| 15 | 2009 | 22 | |
| 16 | 2019 | 18 | |
| 17 | 2011 | 16 | |
| 18 | 2020 | 14 | |
| 19 | 2021 | 10 | |
| 20 | 2005 | 9 |
About Laura Schaevitz
Laura Schaevitz is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Small Animals and Cellular and Molecular 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), Epigenetics and DNA Methylation (3 papers), Animal testing and alternatives (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Adipose Tissue and Metabolism (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Developmental Neuroscience (202 citations), Cognitive Neuroscience (369 citations), Genetics (501 citations), Cellular and Molecular Neuroscience (255 citations) and Molecular Biology (526 citations). Laura Schaevitz has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Joanne Berger-Sweeney, Bin Chen, Susan K. McConnell, Nupur Nag, Heather Bowling, Nancy A. Stearns, Ute Berger, Laura Ricceri, Maria Lim and Nicolás Gómez. Their work appears in journals such as Neuroscience, PLoS ONE, ILAR Journal, The Journal of Immunology and Journal of Clinical Oncology.
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.