Alejandro Hidalgo
Impact in
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Muscle Physiology and Disorders
- Congenital heart defects research
- Renal and related cancers
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- Neuroscience and Neural Engineering
Papers in
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- Pluripotent Stem Cells Research 10
- Renal and related cancers 3
- Congenital heart defects research 3
- CRISPR and Genetic Engineering 3
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- 3D Printing in Biomedical Research 4
- Co-authors
- Ernst J. Wolvetang (8 shared papers)Justin J. Cooper‐White (8 shared papers)Drew M. Titmarsh (6 shared papers)James E. Hudson (4 shared papers)Nick R. Glass (3 shared papers)Dmitry A. Ovchinnikov (3 shared papers)Jennifer Turner (1 shared paper)Heather Main (1 shared paper)
- Journals
- Stem Cells and Development (2 papers)Scientific Reports (1 paper)Biotechnology and Bioengineering (1 paper)Cells (1 paper)Journal of the American Society of Nephrology (1 paper)
- Partner nations
- AustraliaUnited StatesSweden
In The Last Decade
Alejandro Hidalgo
12 papers receiving 376 citations
Peers
Comparison fields: 5 of 46
- Molecular Biology 291
- Cellular and Molecular Neuroscience 65
- Biomedical Engineering 143
- Surgery 118
- Genetics 28
Countries citing papers authored by Alejandro Hidalgo
This map shows the geographic impact of Alejandro Hidalgo'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 Alejandro Hidalgo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Hidalgo more than expected).
Fields of papers citing papers by Alejandro Hidalgo
This network shows the impact of papers produced by Alejandro Hidalgo. 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 Alejandro Hidalgo. The network helps show where Alejandro Hidalgo may publish in the future.
Co-authors
The 25 scholars most cited alongside Alejandro Hidalgo, 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 | 2016 | 83 | |
| 2 | 2011 | 63 | |
| 3 | 2016 | 49 | |
| 4 | 2012 | 38 | |
| 5 | 2011 | 36 | |
| 6 | 2018 | 33 | |
| 7 | 2020 | 20 | |
| 8 | 2021 | 18 | |
| 9 | 2014 | 16 | |
| 10 | 2014 | 14 | |
| 11 | 2024 | 5 | |
| 12 | 2025 | 2 |
About Alejandro Hidalgo
Alejandro Hidalgo is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Cellular and Molecular Neuroscience and Nephrology, having authored 12 papers that have together received 377 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (10 papers), 3D Printing in Biomedical Research (4 papers), Renal and related cancers (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Congenital heart defects research (3 papers), CRISPR and Genetic Engineering (3 papers), Neuroscience and Neural Engineering (2 papers) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Molecular Biology (291 citations), Cellular and Molecular Neuroscience (65 citations), Biomedical Engineering (143 citations), Surgery (118 citations) and Genetics (28 citations). Alejandro Hidalgo has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Ernst J. Wolvetang, Justin J. Cooper‐White, Drew M. Titmarsh, James E. Hudson, Nick R. Glass, Dmitry A. Ovchinnikov, Jennifer Turner, Heather Main, Jia Li and Biljana Dumevska. Their work appears in journals such as Stem Cells and Development, Scientific Reports, Biotechnology and Bioengineering, Cells and Journal of the American Society of Nephrology.
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.