Lorena Varela‐Nallar
- Molecular Biology top 5%
- Physiology top 2%
- Cellular and Molecular Neuroscience top 2%
- Genetics top 5%
- Developmental Neuroscience top 1%
- Co-authors
- Nibaldo C. InestrosaSebastián B. ArredondoIván E. AlfaroCheril Tapia‐RojasJorge ParodíFelipe SerranoWaldo CerpaCatalina Grabowski
- Topics
- Neurogenesis and neuroplasticity mechanisms (19 papers)Genetics and Neurodevelopmental Disorders (17 papers)Wnt/β-catenin signaling in development and cancer (16 papers)
- Partner nations
- ChileUnited StatesAustralia
In The Last Decade
Lorena Varela‐Nallar
56 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 1.3k
- Physiology 781
- Cellular and Molecular Neuroscience 735
- Genetics 527
- Developmental Neuroscience 494
Countries citing papers authored by Lorena Varela‐Nallar
This map shows the geographic impact of Lorena Varela‐Nallar'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 Lorena Varela‐Nallar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena Varela‐Nallar more than expected).
Fields of papers citing papers by Lorena Varela‐Nallar
This network shows the impact of papers produced by Lorena Varela‐Nallar. 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 Lorena Varela‐Nallar. The network helps show where Lorena Varela‐Nallar may publish in the future.
Co-authorship network of co-authors of Lorena Varela‐Nallar
This figure shows the co-authorship network connecting the top 25 collaborators of Lorena Varela‐Nallar. A scholar is included among the top collaborators of Lorena Varela‐Nallar 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 Lorena Varela‐Nallar. Lorena Varela‐Nallar 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 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 25 | |
| 6 | 30 | |
| 7 | 57 | |
| 8 | 60 | |
| 9 | 124 | |
| 10 | 65 | |
| 11 | 67 | |
| 12 | 44 | |
| 13 | 46 | |
| 14 | 68 | |
| 15 | 3 | |
| 16 | 33 | |
| 17 | 20 | |
| 18 | 22 | |
| 19 | 2 | |
| 20 | 14 |
About Lorena Varela‐Nallar
Lorena Varela‐Nallar is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 56 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (19 papers), Genetics and Neurodevelopmental Disorders (17 papers) and Wnt/β-catenin signaling in development and cancer (16 papers). The work is most often cited by research in Developmental Neuroscience (494 citations), Cellular and Molecular Neuroscience (735 citations) and Biological Psychiatry (92 citations). Lorena Varela‐Nallar has collaborated with scholars based in Chile, United States and Australia. Frequent co-authors include Nibaldo C. Inestrosa, Nibaldo C. Inestrosa, Sebastián B. Arredondo, Iván E. Alfaro, Cheril Tapia‐Rojas, Jorge Parodí, Felipe Serrano, Waldo Cerpa, Catalina Grabowski and Enrique M. Toledo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.
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.