Laura González-Cano
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Neurology
- Oncology
- Developmental Neuroscience top 5%
- Co-authors
- Jens C. SchwambornMaria Angeliki S. PavlouMaría C. MarínJaclyn Nicole Le GrandMargarita M. MarquésSarah NicklasAntonio del SolSatoshi Okawa
- Topics
- Cancer-related Molecular Pathways (4 papers)Neurogenesis and neuroplasticity mechanisms (4 papers)Parkinson's Disease Mechanisms and Treatments (3 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- LuxembourgSpainGermany
In The Last Decade
Laura González-Cano
14 papers receiving 502 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 329
- Cellular and Molecular Neuroscience 135
- Neurology 89
- Oncology 86
- Developmental Neuroscience 75
Countries citing papers authored by Laura González-Cano
This map shows the geographic impact of Laura González-Cano'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 González-Cano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura González-Cano more than expected).
Fields of papers citing papers by Laura González-Cano
This network shows the impact of papers produced by Laura González-Cano. 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 González-Cano. The network helps show where Laura González-Cano may publish in the future.
Co-authorship network of co-authors of Laura González-Cano
This figure shows the co-authorship network connecting the top 25 collaborators of Laura González-Cano. A scholar is included among the top collaborators of Laura González-Cano 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 González-Cano. Laura González-Cano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 21 | |
| 3 | 74 | |
| 4 | 15 | |
| 5 | 20 | |
| 6 | 11 | |
| 7 | 52 | |
| 8 | 45 | |
| 9 | 14 | |
| 10 | 41 | |
| 11 | 79 | |
| 12 | 30 | |
| 13 | 47 | |
| 14 | 16 |
About Laura González-Cano
Laura González-Cano is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 14 papers that have together received 505 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Developmental Neuroscience (75 citations), Cellular and Molecular Neuroscience (135 citations) and Neurology (89 citations). Laura González-Cano has collaborated with scholars based in Luxembourg, Spain and Germany. Frequent co-authors include Jens C. Schwamborn, Maria Angeliki S. Pavlou, María C. Marín, Jaclyn Nicole Le Grand, Margarita M. Marqués, Sarah Nicklas, Antonio del Sol, Satoshi Okawa, Marta Herreros‐Villanueva and Ángel Ayuso‐Sacido. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.