David Martínez‐Cuadrón

2.0k total citations
56 papers, 537 citations indexed

About

David Martínez‐Cuadrón is a scholar working on Hematology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, David Martínez‐Cuadrón has authored 56 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Hematology, 20 papers in Molecular Biology and 17 papers in Public Health, Environmental and Occupational Health. Recurrent topics in David Martínez‐Cuadrón's work include Acute Myeloid Leukemia Research (42 papers), Acute Lymphoblastic Leukemia research (17 papers) and Chronic Myeloid Leukemia Treatments (15 papers). David Martínez‐Cuadrón is often cited by papers focused on Acute Myeloid Leukemia Research (42 papers), Acute Lymphoblastic Leukemia research (17 papers) and Chronic Myeloid Leukemia Treatments (15 papers). David Martínez‐Cuadrón collaborates with scholars based in Spain, Chile and United States. David Martínez‐Cuadrón's co-authors include Pau Montesinos, Juan Eduardo Megías‐Vericat, Miguel Á. Sanz, José Luís Poveda, Salvador F. Aliño, Marí­a José Herrero, Rebeca Rodríguez‐Veiga, Blanca Boluda, Jaime Sanz and Virginia Bosó and has published in prestigious journals such as Blood, Cancer and British Journal of Haematology.

In The Last Decade

David Martínez‐Cuadrón

53 papers receiving 529 citations

Peers

David Martínez‐Cuadrón
Comparison fields: 5 of 58
  • Hematology 325
  • Molecular Biology 214
  • Oncology 164
  • Public Health, Environmental and Occupational Health 108
  • Genetics 82
Replace Ivan Pašić with:
Ivan Pašić Canada
Rebeca Rodríguez‐Veiga Spain
Geoffroy Venton France
Rayaz Ahmed India
Ulrike Graubner Germany
Hisaki Fujii Japan
Koki Ueda Japan
Dawn Colburn United States
Maria Aparecida Zanichelli Brazil
Kayleigh Marx United States
Ivan Pašić Canada View profile →
Citations per field, relative to David Martínez‐Cuadrón
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Citations per year, relative to David Martínez‐Cuadrón
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Countries citing papers authored by David Martínez‐Cuadrón

Since Specialization
Citations

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

Fields of papers citing papers by David Martínez‐Cuadrón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Martínez‐Cuadrón. 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 David Martínez‐Cuadrón. The network helps show where David Martínez‐Cuadrón may publish in the future.

Co-authorship network of co-authors of David Martínez‐Cuadrón

This figure shows the co-authorship network connecting the top 25 collaborators of David Martínez‐Cuadrón. A scholar is included among the top collaborators of David Martínez‐Cuadrón 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 David Martínez‐Cuadrón. David Martínez‐Cuadrón 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
# Work Indexed citations
1 2
2 1
3 2
4 1
5 21
6 34
7 73
8 3
9 7
10 2
11 9
12 5
13 3
14 27
15 32
16 9
17 6
18 14
19 19
20 22

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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