Alex Laperle
Impact in
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- Neuroscience and Neural Engineering
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- Cell Adhesion Molecules Research
Papers in
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- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 3
- RNA Interference and Gene Delivery 2
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- Neuroscience and Neural Engineering 3
- Nerve injury and regeneration 2
- Co-authors
- Sean P. Palecek (3 shared papers)Clive N. Svendsen (7 shared papers)Ritchie Ho (3 shared papers)Jin Koo Kim (1 shared paper)Paul H. Krebsbach (1 shared paper)Luis G. Villa‐Diaz (1 shared paper)Samuel Sances (2 shared papers)Krishanu Saha (2 shared papers)
- Journals
- Stem Cell Reports (3 papers)Stem Cells (1 paper)Nature Medicine (1 paper)Journal of Parkinson s Disease (1 paper)Stem Cells Translational Medicine (1 paper)
- Partner nations
- United StatesMexicoGermany
In The Last Decade
Alex Laperle
12 papers receiving 455 citations
Peers
Comparison fields: 5 of 66
- Cellular and Molecular Neuroscience 102
- Immunology and Allergy 33
- Developmental Neuroscience 20
- Biomedical Engineering 194
- Neurology 62
Countries citing papers authored by Alex Laperle
This map shows the geographic impact of Alex Laperle'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 Alex Laperle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Laperle more than expected).
Fields of papers citing papers by Alex Laperle
This network shows the impact of papers produced by Alex Laperle. 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 Alex Laperle. The network helps show where Alex Laperle may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Laperle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 125 | |
| 2 | 2020 | 88 | |
| 3 | 2016 | 66 | |
| 4 | 2015 | 57 | |
| 5 | 2021 | 31 | |
| 6 | 2013 | 29 | |
| 7 | 2011 | 20 | |
| 8 | 2023 | 16 | |
| 9 | 2014 | 13 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 3 |
About Alex Laperle
Alex Laperle is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering, Neurology and Developmental Neuroscience, having authored 12 papers that have together received 461 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), 3D Printing in Biomedical Research (4 papers), Neuroscience and Neural Engineering (3 papers), CRISPR and Genetic Engineering (3 papers), Nerve injury and regeneration (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Cell Adhesion Molecules Research (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (102 citations), Immunology and Allergy (33 citations), Developmental Neuroscience (20 citations), Biomedical Engineering (194 citations) and Neurology (62 citations). Alex Laperle has collaborated with scholars based in United States, Mexico and Germany. Frequent co-authors include Sean P. Palecek, Clive N. Svendsen, Ritchie Ho, Jin Koo Kim, Paul H. Krebsbach, Luis G. Villa‐Diaz, Samuel Sances, Krishanu Saha, Kristyn S. Masters and Berhan Mandefro. Their work appears in journals such as Stem Cell Reports, Stem Cells, Nature Medicine, Journal of Parkinson s Disease and Stem Cells Translational Medicine.
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.