Alberto Martín
- Molecular Biology top 5%
- Immunology top 1%
- Oncology top 5%
- Epidemiology top 10%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Matthew D. ScharffPhilip D. BardwellThergiory IrrazábalMani LarijaniA. BelchevaDana J. PhilpottStephen K. H. LiMingsong Kang
- Topics
- T-cell and B-cell Immunology (40 papers)Immune Cell Function and Interaction (19 papers)DNA Repair Mechanisms (18 papers)
- Cited by
- ImmunologyMolecular BiologyOncology
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Alberto Martín
101 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 2.2k
- Immunology 1.8k
- Oncology 762
- Epidemiology 421
- Pathology and Forensic Medicine 383
Countries citing papers authored by Alberto Martín
This map shows the geographic impact of Alberto 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 Alberto Martín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Martín more than expected).
Fields of papers citing papers by Alberto Martín
This network shows the impact of papers produced by Alberto 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 Alberto Martín. The network helps show where Alberto Martín may publish in the future.
Co-authorship network of co-authors of Alberto Martín
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Martín. A scholar is included among the top collaborators of Alberto 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 Alberto Martín. Alberto 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 | 0 | |
| 2 | 63 | |
| 3 | 15 | |
| 4 | 83 | |
| 5 | 26 | |
| 6 | 8 | |
| 7 | 48 | |
| 8 | UNA NUEVA ESPECIE DE ANFIPODO DEL GÉNERO TIBURONELLA (CRUSTÁCEA, AMPHIPODA, PLATYISCHNOPIDAE) DE VENEZUELA | 2 |
| 9 | 7 | |
| 10 | Vulnerabilidad al incremento del nivel del mar pérdida de tierra en el área Cabo Codera-Laguna de Tacarigua, Estado Miranda, Venezuela | 1 |
| 11 | 3 | |
| 12 | 70 | |
| 13 | 4 | |
| 14 | 17 | |
| 15 | 38 | |
| 16 | 61 | |
| 17 | 77 | |
| 18 | 23 | |
| 19 | 8 | |
| 20 | The Embryogenesis of the Human Skull | 6 |
About Alberto Martín
Alberto Martín is a scholar working on Immunology, Molecular Biology and Pathology and Forensic Medicine, having authored 103 papers that have together received 3.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (40 papers), Immune Cell Function and Interaction (19 papers) and DNA Repair Mechanisms (18 papers). The work is most often cited by research in Immunology (1.8k citations), Molecular Biology (2.2k citations) and Oncology (762 citations). Alberto Martín has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Matthew D. Scharff, Philip D. Bardwell, Thergiory Irrazábal, Mani Larijani, A. Belcheva, Dana J. Philpott, Stephen K. H. Li, Mingsong Kang, Marc J. Shulman and Caroline J. Woo. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.