Antonio Núñez‐Roldán
- Immunology top 2%
- Rheumatology top 1%
- Epidemiology top 5%
- Hepatology top 1%
- Molecular Biology
- Co-authors
- María Francisca González‐EscribanoI. WichmannIsabel AguileraJ Sánchez-RománFrancisco AguilarBelén TorresAlicia GarcíaJosé R. García‐Lozano
- Topics
- T-cell and B-cell Immunology (29 papers)Systemic Lupus Erythematosus Research (26 papers)Monoclonal and Polyclonal Antibodies Research (25 papers)
- Cited by
- TransplantationHepatologyImmunology
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Antonio Núñez‐Roldán
123 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 84
- Immunology 1.2k
- Rheumatology 822
- Epidemiology 583
- Hepatology 551
- Molecular Biology 511
Countries citing papers authored by Antonio Núñez‐Roldán
This map shows the geographic impact of Antonio Núñez‐Roldán'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 Antonio Núñez‐Roldán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Núñez‐Roldán more than expected).
Fields of papers citing papers by Antonio Núñez‐Roldán
This network shows the impact of papers produced by Antonio Núñez‐Roldán. 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 Antonio Núñez‐Roldán. The network helps show where Antonio Núñez‐Roldán may publish in the future.
Co-authorship network of co-authors of Antonio Núñez‐Roldán
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Núñez‐Roldán. A scholar is included among the top collaborators of Antonio Núñez‐Roldán 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 Antonio Núñez‐Roldán. Antonio Núñez‐Roldán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 16 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 22 | |
| 6 | 13 | |
| 7 | 14 | |
| 8 | 6 | |
| 9 | 15 | |
| 10 | 18 | |
| 11 | 9 | |
| 12 | 66 | |
| 13 | 51 | |
| 14 | [The effect of polymorphisms of the angiotensin-converting enzyme and angiotensinogen genes on the phenotypic expression of Spanish patients with hypertrophic cardiomyopathy]. | 11 |
| 15 | 18 | |
| 16 | 0 | |
| 17 | 25 | |
| 18 | 17 | |
| 19 | 76 | |
| 20 | 12 |
About Antonio Núñez‐Roldán
Antonio Núñez‐Roldán is a scholar working on Transplantation, Hepatology and Rheumatology, having authored 125 papers that have together received 2.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (29 papers), Systemic Lupus Erythematosus Research (26 papers) and Monoclonal and Polyclonal Antibodies Research (25 papers). The work is most often cited by research in Transplantation (201 citations), Hepatology (551 citations) and Immunology (1.2k citations). Antonio Núñez‐Roldán has collaborated with scholars based in Spain, United States and France. Frequent co-authors include María Francisca González‐Escribano, I. Wichmann, Isabel Aguilera, J Sánchez-Román, Francisco Aguilar, Belén Torres, Alicia García, José R. García‐Lozano, Javier Martı́n and José-Raúl Garcı́a-Lozano. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Hepatology.
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.