Estrela Neto
Impact in
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- Neuroscience and Neural Engineering
- Nerve injury and regeneration
- Physiology top 5%
- Adenosine and Purinergic Signaling
Papers in
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- Neuropeptides and Animal Physiology 4
- Axon Guidance and Neuronal Signaling 3
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- 3D Printing in Biomedical Research 8
- Co-authors
- Meriem Lamghari (28 shared papers)Daniela M. Sousa (16 shared papers)Cecília J. Alves (17 shared papers)Luís Leitão (13 shared papers)Inês S. Alencastre (9 shared papers)Paulo Aguiar (9 shared papers)Thimios A. Mitsiadis (3 shared papers)Pierfrancesco Pagella (3 shared papers)
- Journals
- The FASEB Journal (4 papers)European Cells and Materials (3 papers)Scientific Reports (3 papers)PLoS ONE (2 papers)Materials Today Bio (2 papers)
- Partner nations
- PortugalSwitzerlandAustralia
In The Last Decade
Estrela Neto
36 papers receiving 845 citations
Peers
Comparison fields: 5 of 91
- Cellular and Molecular Neuroscience 205
- Physiology 51
- Genetics 85
- Developmental Neuroscience 31
- Biomedical Engineering 287
Countries citing papers authored by Estrela Neto
This map shows the geographic impact of Estrela Neto'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 Estrela Neto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Estrela Neto more than expected).
Fields of papers citing papers by Estrela Neto
This network shows the impact of papers produced by Estrela Neto. 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 Estrela Neto. The network helps show where Estrela Neto may publish in the future.
Co-authors
The 25 scholars most cited alongside Estrela Neto, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 96 | |
| 2 | 2016 | 95 | |
| 3 | 2022 | 51 | |
| 4 | 2020 | 49 | |
| 5 | 2014 | 49 | |
| 6 | 2014 | 47 | |
| 7 | 2010 | 45 | |
| 8 | 2016 | 38 | |
| 9 | 2022 | 33 | |
| 10 | 2020 | 33 | |
| 11 | 2021 | 28 | |
| 12 | 2015 | 28 | |
| 13 | 2020 | 27 | |
| 14 | 2020 | 22 | |
| 15 | 2016 | 21 | |
| 16 | 2016 | 19 | |
| 17 | 2016 | 18 | |
| 18 | 2016 | 15 | |
| 19 | 2021 | 14 | |
| 20 | 2017 | 13 |
About Estrela Neto
Estrela Neto is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Molecular Biology, Genetics and Oncology, having authored 36 papers that have together received 851 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (8 papers), Mesenchymal stem cell research (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers), Neuropeptides and Animal Physiology (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Axon Guidance and Neuronal Signaling (3 papers) and Pain Mechanisms and Treatments (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (205 citations), Physiology (51 citations), Genetics (85 citations), Developmental Neuroscience (31 citations) and Biomedical Engineering (287 citations). Estrela Neto has collaborated with scholars based in Portugal, Switzerland and Australia. Frequent co-authors include Meriem Lamghari, Daniela M. Sousa, Cecília J. Alves, Luís Leitão, Inês S. Alencastre, Paulo Aguiar, Thimios A. Mitsiadis, Pierfrancesco Pagella, Francisco Conceição and Paulo Correia‐de‐Sá. Their work appears in journals such as The FASEB Journal, European Cells and Materials, Scientific Reports, PLoS ONE and Materials Today Bio.
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.