Guillermo Martín–Núñez
- Hematology top 2%
- Molecular Biology
- Genetics top 5%
- Oncology top 10%
- Immunology
- Co-authors
- Josefina GalendeJesús F. San MiguelGema MateoAlberto ÓrfãoAlfonso García de CocaNatalia de las HerasAlejandro Martı́nErnesto Pérez Persona
- Topics
- Multiple Myeloma Research and Treatments (7 papers)Chronic Lymphocytic Leukemia Research (6 papers)Immunodeficiency and Autoimmune Disorders (5 papers)
- Cited by
- HematologyGeneticsOncology
- Partner nations
- SpainFranceUnited Kingdom
In The Last Decade
Guillermo Martín–Núñez
24 papers receiving 807 citations
Peers
Comparison fields: 5 of 53
- Hematology 572
- Molecular Biology 416
- Genetics 289
- Oncology 248
- Immunology 168
Countries citing papers authored by Guillermo Martín–Núñez
This map shows the geographic impact of Guillermo Martín–Núñez'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 Guillermo Martín–Núñez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo Martín–Núñez more than expected).
Fields of papers citing papers by Guillermo Martín–Núñez
This network shows the impact of papers produced by Guillermo Martín–Núñez. 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 Guillermo Martín–Núñez. The network helps show where Guillermo Martín–Núñez may publish in the future.
Co-authorship network of co-authors of Guillermo Martín–Núñez
This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Martín–Núñez. A scholar is included among the top collaborators of Guillermo Martín–Núñez 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 Guillermo Martín–Núñez. Guillermo Martín–Núñez 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 | 27 | |
| 3 | 11 | |
| 4 | 30 | |
| 5 | 12 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 26 | |
| 9 | 82 | |
| 10 | 40 | |
| 11 | 20 | |
| 12 | 19 | |
| 13 | 352 | |
| 14 | 50 | |
| 15 | 65 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | b-thalassemia intermedia resulting from compound heterozigosity for an IVSI-1 (G-A) and a silent 5' UTR +33 (C-G) mutations. | 3 |
| 19 | [Aplastic crisis caused by Parvovirus B-19. Response to treatment with low doses of gammaglobulin]. | 0 |
| 20 | 7 |
About Guillermo Martín–Núñez
Guillermo Martín–Núñez is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 26 papers that have together received 822 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (7 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). The work is most often cited by research in Hematology (572 citations), Genetics (289 citations) and Oncology (248 citations). Guillermo Martín–Núñez has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Josefina Galende, Jesús F. San Miguel, Gema Mateo, Alberto Órfão, Alfonso García de Coca, Natalia de las Heras, Alejandro Martı́n, Ernesto Pérez Persona, José M. Hernández and María‐Victoria Mateos. Their work appears in journals such as Blood, PLoS ONE and Cancer.
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.