Raúl Gabus
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
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- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
Papers in
- Genetics 11
- Chronic Lymphocytic Leukemia Research 11
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- Hematopoietic Stem Cell Transplantation 5
- Acute Myeloid Leukemia Research 3
- Co-authors
- Ana Inés Landoni (11 shared papers)Pablo Oppezzo (7 shared papers)Cecilia Abreu (4 shared papers)Guillermo Dighiero (5 shared papers)Florencia Palacios (3 shared papers)Pablo Elías Morande (3 shared papers)Daniel Prieto (3 shared papers)Pilar Moreno (3 shared papers)
In The Last Decade
Raúl Gabus
21 papers receiving 361 citations
Peers
Comparison fields: 5 of 55
- Genetics 133
- Immunology 149
- Hematology 73
- Pathology and Forensic Medicine 83
- Cancer Research 68
Countries citing papers authored by Raúl Gabus
This map shows the geographic impact of Raúl Gabus'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 Raúl Gabus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raúl Gabus more than expected).
Fields of papers citing papers by Raúl Gabus
This network shows the impact of papers produced by Raúl Gabus. 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 Raúl Gabus. The network helps show where Raúl Gabus may publish in the future.
Co-authors
The 25 scholars most cited alongside Raúl Gabus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 79 | |
| 2 | 2010 | 66 | |
| 3 | 2014 | 60 | |
| 4 | 1997 | 40 | |
| 5 | 2003 | 20 | |
| 6 | 2017 | 15 | |
| 7 | 2013 | 14 | |
| 8 | 1996 | 14 | |
| 9 | 2018 | 11 | |
| 10 | 1999 | 9 | |
| 11 | Candida arthritis treated with intra-articular amphotericin B. | 1993 | 8 |
| 12 | 2010 | 7 | |
| 13 | 2011 | 6 | |
| 14 | 2011 | 5 | |
| 15 | 2017 | 3 | |
| 16 | 2019 | 2 | |
| 17 | 1999 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2006 | 1 | |
| 20 | 2015 | 1 |
About Raúl Gabus
Raúl Gabus is a scholar working on Genetics, Hematology, Molecular Biology, Pathology and Forensic Medicine and Immunology, having authored 24 papers that have together received 366 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (11 papers), Lymphoma Diagnosis and Treatment (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Glycosylation and Glycoproteins Research (3 papers), Acute Lymphoblastic Leukemia research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Genetics (133 citations), Immunology (149 citations), Hematology (73 citations), Pathology and Forensic Medicine (83 citations) and Cancer Research (68 citations). Raúl Gabus has collaborated with scholars based in Uruguay, Argentina and Chile. Frequent co-authors include Ana Inés Landoni, Pablo Oppezzo, Cecilia Abreu, Guillermo Dighiero, Florencia Palacios, Pablo Elías Morande, Daniel Prieto, Pilar Moreno, Mirta Giordano and Otto Pritsch. Their work appears in journals such as Blood, Leukemia, Blood Advances, Journal of Immunotherapy and British Journal of Haematology.
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.