Eduardo Olavarría
- Hematology top 0.1%
- Genetics top 0.2%
- Rheumatology top 0.5%
- Oncology top 2%
- Epidemiology top 2%
- Co-authors
- Jane F. ApperleyJohn M. GoldmanRichard SzydloJaspal KaedaFrancesco DazziCharles CraddockDavid MarínMarco Bua
- Topics
- Chronic Myeloid Leukemia Treatments (57 papers)Hematopoietic Stem Cell Transplantation (52 papers)Chronic Lymphocytic Leukemia Research (45 papers)
- Cited by
- HematologyGeneticsRheumatology
- Partner nations
- United KingdomSpainGermany
In The Last Decade
Eduardo Olavarría
136 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Hematology 4.0k
- Genetics 2.3k
- Rheumatology 1.6k
- Oncology 1.3k
- Epidemiology 1.2k
Countries citing papers authored by Eduardo Olavarría
This map shows the geographic impact of Eduardo Olavarría'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 Eduardo Olavarría with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo Olavarría more than expected).
Fields of papers citing papers by Eduardo Olavarría
This network shows the impact of papers produced by Eduardo Olavarría. 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 Eduardo Olavarría. The network helps show where Eduardo Olavarría may publish in the future.
Co-authorship network of co-authors of Eduardo Olavarría
This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Olavarría. A scholar is included among the top collaborators of Eduardo Olavarría 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 Eduardo Olavarría. Eduardo Olavarría 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 | 23 | |
| 4 | 40 | |
| 5 | 348 | |
| 6 | 93 | |
| 7 | 416 | |
| 8 | 144 | |
| 9 | 4 | |
| 10 | Liposomal Amphotericin B as Initial Therapy for Invasive Mold Infection: A Randomized Trial Comparing a High-Loading Dose Regimen with Standard Dosing (AmBiLoad Trial)breakdown → | 486 |
| 11 | 14 | |
| 12 | Autologous stem cell transplantation in tumour-stage mycosis fungoides: histological and immunophenotypic features as predictors of outcome | 3 |
| 13 | 51 | |
| 14 | 43 | |
| 15 | 27 | |
| 16 | 80 | |
| 17 | 52 | |
| 18 | 27 | |
| 19 | 91 | |
| 20 | 39 |
About Eduardo Olavarría
Eduardo Olavarría is a scholar working on Hematology, Genetics and Rheumatology, having authored 143 papers that have together received 6.1k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (57 papers), Hematopoietic Stem Cell Transplantation (52 papers) and Chronic Lymphocytic Leukemia Research (45 papers). The work is most often cited by research in Hematology (4.0k citations), Genetics (2.3k citations) and Rheumatology (1.6k citations). Eduardo Olavarría has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent co-authors include Jane F. Apperley, John M. Goldman, Richard Szydlo, Jaspal Kaeda, Francesco Dazzi, Charles Craddock, David Marín, Marco Bua, Nicholas C.P. Cross and Dragana Milojković. Their work appears in journals such as New England Journal of Medicine, The Lancet and The Journal of Experimental Medicine.
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.