Joaquı́n Dı́az-Mediavilla

5.3k total citations
31 papers, 2.2k citations indexed

About

Joaquı́n Dı́az-Mediavilla is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Joaquı́n Dı́az-Mediavilla has authored 31 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hematology, 13 papers in Genetics and 12 papers in Molecular Biology. Recurrent topics in Joaquı́n Dı́az-Mediavilla's work include Multiple Myeloma Research and Treatments (9 papers), Acute Myeloid Leukemia Research (7 papers) and Retinoids in leukemia and cellular processes (7 papers). Joaquı́n Dı́az-Mediavilla is often cited by papers focused on Multiple Myeloma Research and Treatments (9 papers), Acute Myeloid Leukemia Research (7 papers) and Retinoids in leukemia and cellular processes (7 papers). Joaquı́n Dı́az-Mediavilla collaborates with scholars based in Spain, Argentina and Netherlands. Joaquı́n Dı́az-Mediavilla's co-authors include Marcos González, José D. González, Jesús F. San Miguel, Miguel Á. Sanz, Jordi Esteve, Juan Bergua, Alberto Órfão, Josep‐María Ribera, Pau Montesinos and Javier de la Serna and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Clinical Cancer Research.

In The Last Decade

Joaquı́n Dı́az-Mediavilla

31 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joaquı́n Dı́az-Mediavilla Spain 15 1.9k 1.5k 390 388 334 31 2.2k
Guillermo Debén Spain 15 720 0.4× 578 0.4× 244 0.6× 304 0.8× 170 0.5× 35 1.3k
Ángel León Spain 14 1.1k 0.6× 687 0.5× 405 1.0× 160 0.4× 138 0.4× 21 1.6k
M. L. Vegna Italy 14 765 0.4× 517 0.4× 296 0.8× 183 0.5× 73 0.2× 20 1.2k
Anne Marie Stoppa France 18 844 0.4× 555 0.4× 322 0.8× 242 0.6× 43 0.1× 43 1.2k
J Odriozola Spain 15 667 0.3× 261 0.2× 192 0.5× 121 0.3× 23 0.1× 46 914
Lourdes Escoda Spain 20 977 0.5× 665 0.5× 567 1.5× 206 0.5× 24 0.1× 57 1.7k
Fernando Ramos Spain 21 1.2k 0.6× 524 0.4× 201 0.5× 445 1.1× 9 0.0× 68 1.5k
Itsuro Jinnai Japan 20 1.9k 1.0× 621 0.4× 277 0.7× 729 1.9× 9 0.0× 79 2.3k
Benet Nomdedeu Spain 22 881 0.5× 361 0.2× 349 0.9× 157 0.4× 19 0.1× 88 1.8k
Felipe de Arriba Spain 19 1.6k 0.8× 1.1k 0.7× 783 2.0× 98 0.3× 9 0.0× 71 1.8k

Countries citing papers authored by Joaquı́n Dı́az-Mediavilla

Since Specialization
Citations

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

Fields of papers citing papers by Joaquı́n Dı́az-Mediavilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joaquı́n Dı́az-Mediavilla. 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 Joaquı́n Dı́az-Mediavilla. The network helps show where Joaquı́n Dı́az-Mediavilla may publish in the future.

Co-authorship network of co-authors of Joaquı́n Dı́az-Mediavilla

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

All Works

20 of 20 papers shown
1.
Ropero, Paloma, et al.. (2015). Association between hemoglobin Groene Hart and hemoglobin J-Paris-I: First case in Spain. Medicina Clínica (English Edition). 144(5). 212–215. 2 indexed citations
2.
Sanz, Miguel Á., Pau Montesinos, Joaquı́n Dı́az-Mediavilla, et al.. (2015). Maternal and fetal outcomes in pregnant women with acute promyelocytic leukemia. Annals of Hematology. 94(8). 1357–1361. 11 indexed citations
3.
4.
Ropero, Paloma, et al.. (2014). Asociación de la hemoglobina Groene Hart con la hemoglobina J-París-I: primer caso en España. Medicina Clínica. 144(5). 212–215. 2 indexed citations
5.
Nieto, Jorge Martínez, Julián Sevilla, Joaquı́n Dı́az-Mediavilla, et al.. (2014). Hb Cibeles [α2 CD25(B6) (Gly → Asp)]: a novel alpha chain variant causing alpha-thalassemia. International Journal of Hematology. 100(6). 599–601. 3 indexed citations
6.
Ropero, Paloma, Fernando A. González, Elena Cela, et al.. (2013). Association inCisof the Mutations +20 (C>T) in the 5′ Untranslated Region and IVS-II-745 (C>G) on the β-Globin Gene. Hemoglobin. 37(2). 112–118. 10 indexed citations
7.
Ropero, Paloma, Fernando A. González, Elena Cela, et al.. (2012). Erythrocytosis in a Child due to Hb Andrew-Minneapolis [β144(HC1)Lys→Asn (AAG>AATor AAC)] Associated with a Spanish (δβ)0-Thalassemia. Hemoglobin. 37(1). 48–55. 1 indexed citations
8.
Baiget, Montserrat, Isabel Badell, Pilar Ricard, et al.. (2012). Study of Three Families with Hb Agrinio [α29(B10)Leu→Pro, CTG>CCG (α2)] in the Spanish Population: Three Homozygous Cases. Hemoglobin. 36(6). 526–532. 9 indexed citations
9.
Mateos, María‐Victoria, Albert Oriol, Ana-Isabel Teruel, et al.. (2011). Maintenance Therapy with Bortezomib Plus Thalidomide (VT) or Bortezomib Plus Prednisone (VP) In Elderly Myeloma Patients Included In the GEM2005MAS65 Spanish Randomized Trial. Blood. 118(21). 477–477. 5 indexed citations
10.
Ropero, Paloma, Guillermo Martín–Núñez, Fernando A. González, et al.. (2011). Hb Extremadura [β64(E8)Gly→Ser;β133(H11)Val→Leu]: A New Molecular Analysis. Hemoglobin. 35(4). 423–427. 5 indexed citations
11.
Peñalver, Francisco Javier, Alberto Álvarez‐Larrán, José L. Díez‐Martín, et al.. (2010). Rituximab is an effective and safe therapeutic alternative in adults with refractory and severe autoimmune hemolytic anemia. Annals of Hematology. 89(11). 1073–1080. 54 indexed citations
12.
Santamaría, Carlos, Carmen Chillón, Ramón García‐Sánz, et al.. (2009). BAALC is an important predictor of refractoriness to chemotherapy and poor survival in intermediate-risk acute myeloid leukemia (AML). Annals of Hematology. 89(5). 453–458. 35 indexed citations
13.
14.
Rosiñol, Laura, Josè Antonio Pérez-Simón, Anna Sureda, et al.. (2008). A prospective PETHEMA study of tandem autologous transplantation versus autograft followed by reduced-intensity conditioning allogeneic transplantation in newly diagnosed multiple myeloma. Blood. 112(9). 3591–3593. 172 indexed citations
15.
Serna, Javier de la, Pau Montesinos, Edo Vellenga, et al.. (2008). Causes and prognostic factors of remission induction failure in patients with acute promyelocytic leukemia treated with all-trans retinoic acid and idarubicin. Blood. 111(7). 3395–3402. 246 indexed citations
16.
Vilacosta, Isidre, et al.. (2007). Hematoma intramural aórtico y anticoagulación. Revista Española de Cardiología. 60(2). 201–204. 6 indexed citations
17.
18.
Dı́az-Mediavilla, Joaquı́n & Manuel Lizasoaín. (2005). Epidemiología de las infecciones en el paciente neutropénico. Enfermedades Infecciosas y Microbiología Clínica. 23. 7–13. 1 indexed citations
19.
Mateo, Gema, Ana Rasillo, Norma C. Gutiérrez, et al.. (2005). Genetic Abnormalities and Patterns of Antigenic Expression in Multiple Myeloma. Clinical Cancer Research. 11(10). 3661–3667. 87 indexed citations
20.
Miguel, Jesús F. San, Júlia Almeida, Gema Mateo, et al.. (2002). Immunophenotypic evaluation of the plasma cell compartment in multiple myeloma: a tool for comparing the efficacy of different treatment strategies and predicting outcome. Blood. 99(5). 1853–1856. 99 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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