Alejandro San Martín
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Neurology top 5%
- Cancer Research top 10%
- Co-authors
- L. Felipe BarrosRodrigo LerchundiFelipe Baeza‐LehnertSebastián CeballoIván RuminotKarin AlegríaWolf B. FrommerYasna Contreras‐Baeza
- Topics
- Mitochondrial Function and Pathology (15 papers)Neuroscience and Neuropharmacology Research (6 papers)Cancer, Hypoxia, and Metabolism (4 papers)
- Partner nations
- ChileGermanySwitzerland
In The Last Decade
Alejandro San Martín
21 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 894
- Cellular and Molecular Neuroscience 583
- Physiology 289
- Neurology 270
- Cancer Research 204
Countries citing papers authored by Alejandro San Martín
This map shows the geographic impact of Alejandro San Martín'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 San Martín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro San Martín more than expected).
Fields of papers citing papers by Alejandro San Martín
This network shows the impact of papers produced by Alejandro San Martín. 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 San Martín. The network helps show where Alejandro San Martín may publish in the future.
Co-authorship network of co-authors of Alejandro San Martín
This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro San Martín. A scholar is included among the top collaborators of Alejandro San Martín 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 Alejandro San Martín. Alejandro San Martín 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 | 8 | |
| 4 | 13 | |
| 5 | 10 | |
| 6 | 16 | |
| 7 | 16 | |
| 8 | 59 | |
| 9 | 12 | |
| 10 | 135 | |
| 11 | 46 | |
| 12 | 34 | |
| 13 | In Vivo Evidence for a Lactate Gradient from Astrocytes to Neuronsbreakdown → | 424 |
| 14 | 140 | |
| 15 | 4 | |
| 16 | 44 | |
| 17 | 49 | |
| 18 | 257 | |
| 19 | 148 | |
| 20 | 20 |
About Alejandro San Martín
Alejandro San Martín is a scholar working on Cellular and Molecular Neuroscience, Transplantation and Molecular Biology, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (15 papers), Neuroscience and Neuropharmacology Research (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Neurology (270 citations), Cellular and Molecular Neuroscience (583 citations) and Developmental Neuroscience (116 citations). Alejandro San Martín has collaborated with scholars based in Chile, Germany and Switzerland. Frequent co-authors include L. Felipe Barros, Rodrigo Lerchundi, Felipe Baeza‐Lehnert, Sebastián Ceballo, Iván Ruminot, Karin Alegría, Wolf B. Frommer, Yasna Contreras‐Baeza, Rocío Valdebenito and Robinson Arce‐Molina. Their work appears in journals such as Journal of Biological Chemistry, 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.