Diego Velasco

573 total citations
10 papers, 484 citations indexed

About

Diego Velasco is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Hematology. According to data from OpenAlex, Diego Velasco has authored 10 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Hematology. Recurrent topics in Diego Velasco's work include Hemoglobinopathies and Related Disorders (3 papers), Multiple Myeloma Research and Treatments (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Diego Velasco is often cited by papers focused on Hemoglobinopathies and Related Disorders (3 papers), Multiple Myeloma Research and Treatments (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Diego Velasco collaborates with scholars based in Spain and Bulgaria. Diego Velasco's co-authors include María Salazar‐Roa, Antonio Cuadrado, Ana I. Rojo, Jesús Villarrubia, Juan Manuel Alonso‐Domínguez, Raúl Córdoba, Fernando A. González, Rosario Carrillo, Fernando Cava and Jorge Martínez Nieto and has published in prestigious journals such as Journal of Biological Chemistry, Blood and British Journal of Haematology.

In The Last Decade

Diego Velasco

10 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diego Velasco Spain	5	371	46	44	42	31	10	484
Sabrina Piras Italy	9	370 1.0×	39 0.8×	74 1.7×	52 1.2×	38 1.2×	12	512
Danyang Liu China	14	267 0.7×	45 1.0×	56 1.3×	57 1.4×	13 0.4×	44	520
Yangping Shentu China	13	187 0.5×	35 0.8×	50 1.1×	99 2.4×	16 0.5×	39	433
Hyeong Geug Kim South Korea	12	165 0.4×	41 0.9×	35 0.8×	46 1.1×	50 1.6×	18	468
Christophe Rey France	13	229 0.6×	101 2.2×	87 2.0×	34 0.8×	44 1.4×	27	607
Arianna Bettiga Italy	16	240 0.6×	57 1.2×	33 0.8×	77 1.8×	48 1.5×	38	624
Botao Wang China	15	211 0.6×	47 1.0×	42 1.0×	53 1.3×	28 0.9×	44	512
Eriko Naganuma Japan	5	374 1.0×	21 0.5×	32 0.7×	23 0.5×	16 0.5×	6	442
Yuki Furusawa Japan	7	489 1.3×	14 0.3×	29 0.7×	72 1.7×	15 0.5×	9	610
Keyvan Yousefi United States	14	227 0.6×	29 0.6×	45 1.0×	78 1.9×	45 1.5×	26	519

Countries citing papers authored by Diego Velasco

Since Specialization

Citations

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

Fields of papers citing papers by Diego Velasco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Velasco

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

All Works

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10 of 10 papers shown

Velasco, Diego, Ignacio Mahíllo, Alberto Velasco, et al.. (2022). Machine Learning Model Defines Higher Risk of Venous Thromboembolism in Young Adults with Multiple Myeloma. Blood. 140(Supplement 1). 2811–2812. 1 indexed citations

Nieto, Jorge Martínez, Diego Velasco, Elena Cela, et al.. (2015). HB Puerta del Sol [HBA1:c.148A>C], HB Valdecilla [HBA2:c.3G>T], HB Gran Vía [HBA2:c.98T>G], HB Macarena [HBA2:c.358C>T] and HB El Retiro [HBA2:c.364_366dupGTG]: description of five new hemoglobinopathies. Clinical Chemistry and Laboratory Medicine (CCLM). 54(4). 553–60. 4 indexed citations

Nieto, Jorge Martínez, et al.. (2015). Hb Burgos (α1 CD64(E13)(Asp→Asn)): A new hemoglobin variant detected during follow-up of diabetic patients. Medicina Clínica (English Edition). 144(1). 26–29. 1 indexed citations

Córdoba, Raúl, Fernando A. González, Diego Velasco, et al.. (2015). The utility of multiparametric seven‐color flow cytometry in the detection of double hit lymphoma in ascitic fluid samples. Cytometry Part B Clinical Cytometry. 90(6). 543–545. 8 indexed citations

Nieto, Jorge Martínez, et al.. (2014). Hb Burgos (α1 CD64(E13)(Asp→Asn)): una nueva variante de hemoglobina detectada durante la monitorización de pacientes con diabetes. Medicina Clínica. 144(1). 26–29. 2 indexed citations

Bagazgoitia, Lorea, et al.. (2012). Lesiones Sweet-like inducidas por bortezomib: presentación de 2 casos y revisión de la literatura. Actas Dermo-Sifiliográficas. 103(9). 829–831. 3 indexed citations

Velasco, Diego, Sara Lozano, & Jesús Villarrubia. (2012). Leprosy diagnosed by bone marrow aspiration. British Journal of Haematology. 160(2). 121–121. 4 indexed citations

Bagazgoitia, Lorea, et al.. (2012). Sweet-Like Lesions Induced by Bortezomib: A Review of the Literature and a Report of 2 Cases. Actas Dermo-Sifiliográficas. 103(9). 829–831. 4 indexed citations

Velasco, Diego, et al.. (2010). Hipomelanosis macular progresiva y confluente. Actas Dermo-Sifiliográficas. 101(3). 268–269. 2 indexed citations

10.

Salazar‐Roa, María, et al.. (2006). Glycogen Synthase Kinase-3β Inhibits the Xenobiotic and Antioxidant Cell Response by Direct Phosphorylation and Nuclear Exclusion of the Transcription Factor Nrf2. Journal of Biological Chemistry. 281(21). 14841–14851. 455 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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