Ramón García‐Sánz
- Hematology top 0.05%
- Molecular Biology top 1%
- Oncology top 0.5%
- Genetics top 0.1%
- Pathology and Forensic Medicine top 0.2%
- Co-authors
- Jesús F. San MiguelMarcos GonzálezNorma C. GutiérrezMaría‐Victoria MateosMaría Eugenia SarasqueteMeletios Α. DimopoulosAlberto ÓrfãoJesús María Hernández‐Rivas
- Topics
- Multiple Myeloma Research and Treatments (138 papers)Chronic Lymphocytic Leukemia Research (101 papers)Lymphoma Diagnosis and Treatment (89 papers)
- Journals
- New England Journal of MedicineThe Journal of Experimental MedicineJournal of Clinical Oncology
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Ramón García‐Sánz
321 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Hematology 5.5k
- Molecular Biology 4.0k
- Oncology 3.7k
- Genetics 3.1k
- Pathology and Forensic Medicine 2.4k
Countries citing papers authored by Ramón García‐Sánz
This map shows the geographic impact of Ramón García‐Sánz'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 Ramón García‐Sánz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramón García‐Sánz more than expected).
Fields of papers citing papers by Ramón García‐Sánz
This network shows the impact of papers produced by Ramón García‐Sánz. 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 Ramón García‐Sánz. The network helps show where Ramón García‐Sánz may publish in the future.
Co-authorship network of co-authors of Ramón García‐Sánz
This figure shows the co-authorship network connecting the top 25 collaborators of Ramón García‐Sánz. A scholar is included among the top collaborators of Ramón García‐Sánz 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 Ramón García‐Sánz. Ramón García‐Sánz 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 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 33 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 14 | |
| 12 | 107 | |
| 13 | 28 | |
| 14 | 25 | |
| 15 | 115 | |
| 16 | 46 | |
| 17 | 103 | |
| 18 | 228 | |
| 19 | 164 | |
| 20 | 2 |
About Ramón García‐Sánz
Ramón García‐Sánz is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 337 papers that have together received 9.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (138 papers), Chronic Lymphocytic Leukemia Research (101 papers) and Lymphoma Diagnosis and Treatment (89 papers). The work is most often cited by research in Hematology (5.5k citations), Genetics (3.1k citations) and Pathology and Forensic Medicine (2.4k citations). Ramón García‐Sánz has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Jesús F. San Miguel, Marcos González, Norma C. Gutiérrez, María‐Victoria Mateos, María Eugenia Sarasquete, Meletios Α. Dimopoulos, Alberto Órfão, Jesús María Hernández‐Rivas, Carmen Chillón and Enrique M. Ocio. Their work appears in journals such as New England Journal of Medicine, The Journal of Experimental Medicine and Journal of Clinical Oncology.
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.