Eduardo Dibar

601 total citations
14 papers, 156 citations indexed

About

Eduardo Dibar is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Pathology and Forensic Medicine. According to data from OpenAlex, Eduardo Dibar has authored 14 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 5 papers in Pediatrics, Perinatology and Child Health and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Eduardo Dibar's work include Acute Lymphoblastic Leukemia research (8 papers), Childhood Cancer Survivors' Quality of Life (5 papers) and Acute Myeloid Leukemia Research (4 papers). Eduardo Dibar is often cited by papers focused on Acute Lymphoblastic Leukemia research (8 papers), Childhood Cancer Survivors' Quality of Life (5 papers) and Acute Myeloid Leukemia Research (4 papers). Eduardo Dibar collaborates with scholars based in Argentina, Chile and Spain. Eduardo Dibar's co-authors include Myriam Campbell, Martin Schrappe, Edina Magyarosy, Helmut Gadner, Jan Starý, Daniela Silvestri, Maria Grazia Valsecchi, Yves Benoît, Giuseppe Masera and Valentino Conter and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Eduardo Dibar

11 papers receiving 150 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eduardo Dibar Argentina 7 86 61 48 35 34 14 156
MG Valsecchi Italy 5 157 1.8× 97 1.6× 130 2.7× 29 0.8× 29 0.9× 7 241
Sandrine Thouvenin France 7 80 0.9× 85 1.4× 82 1.7× 12 0.3× 19 0.6× 14 174
Jamie E. Flerlage United States 8 43 0.5× 53 0.9× 23 0.5× 75 2.1× 43 1.3× 24 173
M. El Khorassani Morocco 7 19 0.2× 30 0.5× 43 0.9× 24 0.7× 19 0.6× 25 132
Oriana López‐Godino Spain 8 45 0.5× 32 0.5× 104 2.2× 37 1.1× 42 1.2× 16 184
Tomasz Ociepa Poland 8 49 0.6× 40 0.7× 43 0.9× 12 0.3× 32 0.9× 28 136
Jesse M. Tettero Netherlands 6 24 0.3× 39 0.6× 30 0.6× 23 0.7× 16 0.5× 11 105
Maria Michelagnoli United Kingdom 7 26 0.3× 25 0.4× 10 0.2× 20 0.6× 37 1.1× 14 132
Merih Kızıl Çakar Türkiye 7 11 0.1× 17 0.3× 67 1.4× 19 0.5× 33 1.0× 40 125
A Urbano Ispizua Spain 4 50 0.6× 31 0.5× 121 2.5× 3 0.1× 36 1.1× 6 174

Countries citing papers authored by Eduardo Dibar

Since Specialization
Citations

This map shows the geographic impact of Eduardo Dibar'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 Dibar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo Dibar more than expected).

Fields of papers citing papers by Eduardo Dibar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eduardo Dibar. 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 Dibar. The network helps show where Eduardo Dibar may publish in the future.

Co-authorship network of co-authors of Eduardo Dibar

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Dibar. A scholar is included among the top collaborators of Eduardo Dibar 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 Dibar. Eduardo Dibar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Terrasa, Sergio, et al.. (2025). Risk‐Stratified and Response‐Adapted Therapy for Pediatric Hodgkin Lymphoma in Argentina: The GATLA Experience. Advances in Hematology. 2025(1). 5453729–5453729.
2.
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Lastiri, Francisco, et al.. (2014). Pediatric Hodgkin Lymphoma through Clinical Trials in Argentina in the Past 46 Years: The GATLA Experience. Klinische Pädiatrie. 226(2). 2 indexed citations
5.
Conter, Valentino, Maria Grazia Valsecchi, Daniela Silvestri, et al.. (2007). Pulses of vincristine and dexamethasone in addition to intensive chemotherapy for children with intermediate-risk acute lymphoblastic leukaemia: a multicentre randomised trial. The Lancet. 369(9556). 123–131. 60 indexed citations
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Lastiri, Francisco, et al.. (2005). Treatment strategy and long-term results in pediatric patients treated in two consecutive AML-GATLA trials. Leukemia. 19(12). 2139–2142. 13 indexed citations
8.
Krmar, Rafael T., et al.. (1997). Syndrome of inappropriate secretion of antidiuretic hormone in nasopharynx carcinoma. Pediatric Nephrology. 11(4). 502–503. 7 indexed citations
9.
Pavlovsky, S, Enrique Schvartzman, Francisco Lastiri, et al.. (1997). Randomized trial of CVPP for three versus six cycles in favorable-prognosis and CVPP versus AOPE plus radiotherapy in intermediate-prognosis untreated Hodgkin's disease.. Journal of Clinical Oncology. 15(7). 2652–2658. 19 indexed citations
10.
Svarch, Eva, et al.. (1984). Alternating pulses of vincristine-prednisone with cytarabine-cyclophosphamide versus vincristine-prednisone in the maintenance therapy of acute lymphoblastic leukemia.. PubMed. 68(4). 581–6. 1 indexed citations
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Dibar, Eduardo, et al.. (1983). Vindesine, prednisone, and daunomycin in acute lymphoblastic leukemia in relapse. Cancer Chemotherapy and Pharmacology. 10(3). 224–6. 3 indexed citations
13.
L, Sen, et al.. (1981). Surface markers on leukemic blasts and their prognostic significance.. PubMed. 41 Suppl. 109–17. 1 indexed citations
14.
Pavlovsky, S, et al.. (1981). Chemoimmunotherapy with levamisole in acute lymphoblastic leukemia. Cancer. 48(7). 1500–1507. 11 indexed citations

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.

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