Antonio Parrado

3.0k total citations · 1 hit paper
60 papers, 1.8k citations indexed

About

Antonio Parrado is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Antonio Parrado has authored 60 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 19 papers in Immunology and 13 papers in Genetics. Recurrent topics in Antonio Parrado's work include Chronic Lymphocytic Leukemia Research (9 papers), T-cell and B-cell Immunology (9 papers) and Immune Cell Function and Interaction (8 papers). Antonio Parrado is often cited by papers focused on Chronic Lymphocytic Leukemia Research (9 papers), T-cell and B-cell Immunology (9 papers) and Immune Cell Function and Interaction (8 papers). Antonio Parrado collaborates with scholars based in Spain, United States and France. Antonio Parrado's co-authors include Rudolph E. Tanzi, Kristina Mullin, Basavaraj Hooli, Se Hoon Choi, Alberto Serrano‐Pozo, Ana Griciuc, Bradley T. Hyman, Katrina A.B. Goddard, Alfredo Minguela and María José Alcaraz García and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Neuron.

In The Last Decade

Antonio Parrado

60 papers receiving 1.8k citations

Hit Papers

Alzheimer’s Disease Risk Gene CD33 Inhibits Microglial Up... 2013 2026 2017 2021 2013 250 500 750

Peers

Antonio Parrado
Leonid Tarassishin United States
Bonnie M. Bradt United States
Douglas R. McDonald United States
Irina Shchukina United States
Manjeet K. Paintlia United States
Lena Bezman United States
Leonid Tarassishin United States
Antonio Parrado
Citations per year, relative to Antonio Parrado Antonio Parrado (= 1×) peers Leonid Tarassishin

Countries citing papers authored by Antonio Parrado

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Parrado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Parrado

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Parrado. A scholar is included among the top collaborators of Antonio Parrado 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 Antonio Parrado. Antonio Parrado 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.
Adoamnei, Evdochia, María T. Prieto‐Sánchez, Antonio Parrado, et al.. (2022). Maternal urinary concentrations of bisphenol A during pregnancy are associated with global DNA methylation in cord blood of newborns in the “NELA” birth cohort. The Science of The Total Environment. 838(Pt 4). 156540–156540. 5 indexed citations
3.
Minguela, Alfredo, et al.. (2021). The roles of Cdc42 and Rac1 in the formation of plasma membrane protrusions in cancer epithelial HeLa cells. Molecular Biology Reports. 48(5). 4285–4294. 1 indexed citations
4.
Legáz, Isabel, Helios Martínez‐Banaclocha, José Galián, et al.. (2021). MicroRNA Expression Changes in Kidney Transplant: Diagnostic Efficacy of miR-150-5p as Potential Rejection Biomarker, Pilot Study. Journal of Clinical Medicine. 10(13). 2748–2748. 16 indexed citations
5.
Parrado, Antonio. (2020). Expression of DOCK9 and DOCK11 Analyzed with Commercial Antibodies: Focus on Regulation of Mutually Exclusive First Exon Isoforms. SHILAP Revista de lepidopterología. 9(3). 27–27. 4 indexed citations
6.
Cuenca‐Bermejo, Lorena, Ana María González Cuello, Antonio Parrado, et al.. (2020). Identification of differentially expressed genes profiles in a combined mouse model of Parkinsonism and colitis. Scientific Reports. 10(1). 13147–13147. 8 indexed citations
7.
Minguela, Alfredo, et al.. (2019). The role of DOCK10 in the regulation of the transcriptome and aging. Heliyon. 5(3). e01391–e01391. 5 indexed citations
8.
Pachón-Peña, Gisela, Antonio Parrado, David García‐Bernal, et al.. (2018). Production via good manufacturing practice of exofucosylated human mesenchymal stromal cells for clinical applications. Cytotherapy. 20(9). 1110–1123. 7 indexed citations
9.
García, María José Alcaraz, et al.. (2016). Dock10 regulates CD23 expression and sustains B-cell lymphopoiesis in secondary lymphoid tissue. Immunobiology. 221(12). 1343–1350. 12 indexed citations
10.
Griciuc, Ana, Alberto Serrano‐Pozo, Antonio Parrado, et al.. (2013). Alzheimer’s Disease Risk Gene CD33 Inhibits Microglial Uptake of Amyloid Beta. Neuron. 78(4). 631–643. 765 indexed citations breakdown →
11.
García, María José Alcaraz, et al.. (2011). Human and mouse DOCK10 splicing isoforms with alternative first coding exon usage are differentially expressed in T and B lymphocytes. Human Immunology. 72(7). 531–537. 16 indexed citations
12.
Silva, Luciano Kalabric, Ronald E. Blanton, Antonio Parrado, et al.. (2010). Dengue hemorrhagic fever is associated with polymorphisms in JAK1. European Journal of Human Genetics. 18(11). 1221–1227. 47 indexed citations
13.
Majado, María Juliana, Miguel Blanquer, Carmen L. Insausti, et al.. (2010). Cryopreservation impact on blood progenitor cells: influence of diagnoses, mobilization treatments, and cell concentration. Transfusion. 51(4). 799–807. 12 indexed citations
14.
Igo, Robert P., Douglas Londoño, Katherine H. Miller, et al.. (2007). Density-based clustering in haplotype analysis for association mapping. BMC Proceedings. 1(S1). S27–S27. 4 indexed citations
15.
Moya‐Quiles, María Rosa, María Montes‐Casado, Natalia Guerra‐Pérez, et al.. (2006). Human leucocyte antigen‐C in B chronic lymphocytic leukaemia. British Journal of Haematology. 135(4). 517–519. 6 indexed citations
16.
Marı́n, Luis, et al.. (2003). Flow cytometric quantification of apoptosis and proliferation in mixed lymphocyte culture. Cytometry Part A. 51A(2). 107–118. 25 indexed citations
17.
DeWan, Andrew T., Antonio Parrado, Tara C. Matise, & Suzanne M. Leal. (2002). Map Error Reduction: Using Genetic and Sequence-Based Physical Maps to Order Closely Linked Markers. Human Heredity. 54(1). 34–44. 4 indexed citations
18.
Parrado, Antonio. (2001). Retinoic acid receptor alpha1 variants, RARalpha1DeltaB and RARalpha1DeltaBC, define a new class of nuclear receptor isoforms. Nucleic Acids Research. 29(24). 4901–4908. 19 indexed citations
19.
Parrado, Antonio, Christine Chomienne, & Rose Ann Padua. (2000). Retinoic Acid Receptor α (RARα) Mutations in Human Leukemia. Leukemia & lymphoma. 39(3-4). 271–282. 10 indexed citations
20.
Parrado, Antonio, et al.. (1997). Repopulation of circulating T, B and NK lymphocytes following bone marrow and blood stem cell transplantation. PubMed. 39(6). 301–306. 15 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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