José Martínez‐González
- Molecular Biology top 5%
- Immunology top 2%
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Lina BadimónCristina Rodrı́guezBerta RaposoVicenta Llorente‐CortésOlivier CalvayracAnna GuadallJavier CrespoJordi Rius
- Topics
- Nuclear Receptors and Signaling (30 papers)Macrophage Migration Inhibitory Factor (27 papers)Microbial metabolism and enzyme function (25 papers)
- Partner nations
- SpainUnited StatesBrazil
In The Last Decade
José Martínez‐González
161 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 2.0k
- Immunology 1.3k
- Surgery 1.0k
- Cardiology and Cardiovascular Medicine 951
- Cellular and Molecular Neuroscience 725
Countries citing papers authored by José Martínez‐González
This map shows the geographic impact of José Martínez‐González'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 José Martínez‐González with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Martínez‐González more than expected).
Fields of papers citing papers by José Martínez‐González
This network shows the impact of papers produced by José Martínez‐González. 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 José Martínez‐González. The network helps show where José Martínez‐González may publish in the future.
Co-authorship network of co-authors of José Martínez‐González
This figure shows the co-authorship network connecting the top 25 collaborators of José Martínez‐González. A scholar is included among the top collaborators of José Martínez‐González 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 José Martínez‐González. José Martínez‐González 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 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 24 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 93 | |
| 14 | 34 | |
| 15 | 57 | |
| 16 | 42 | |
| 17 | 27 | |
| 18 | 25 | |
| 19 | 108 | |
| 20 | 27 |
About José Martínez‐González
José Martínez‐González is a scholar working on Immunology, Cancer Research and Cellular and Molecular Neuroscience, having authored 168 papers that have together received 5.1k indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (30 papers), Macrophage Migration Inhibitory Factor (27 papers) and Microbial metabolism and enzyme function (25 papers). The work is most often cited by research in Immunology (1.3k citations), Cancer Research (724 citations) and Cardiology and Cardiovascular Medicine (951 citations). José Martínez‐González has collaborated with scholars based in Spain, United States and Brazil. Frequent co-authors include Lina Badimón, Cristina Rodrı́guez, Berta Raposo, Vicenta Llorente‐Cortés, Olivier Calvayrac, Anna Guadall, Javier Crespo, Jordi Rius, María Galán and Mar Orriols. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Nature Communications.
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.