Javier Suela

1.0k total citations
31 papers, 539 citations indexed

About

Javier Suela is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Javier Suela has authored 31 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Genetics and 9 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Javier Suela's work include Genomic variations and chromosomal abnormalities (11 papers), Prenatal Screening and Diagnostics (9 papers) and Acute Myeloid Leukemia Research (5 papers). Javier Suela is often cited by papers focused on Genomic variations and chromosomal abnormalities (11 papers), Prenatal Screening and Diagnostics (9 papers) and Acute Myeloid Leukemia Research (5 papers). Javier Suela collaborates with scholars based in Spain, United States and United Kingdom. Javier Suela's co-authors include Juan C. Cigudosa, Sara Álvarez, Bibiana I. Ferreira, Marı́a José Calasanz, Miguel Á. Piris, Cristina Largo, Francesco Acquadro, Sandra Rodríguez, David Blesa and Manuela Mollejo and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Javier Suela

30 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Suela Spain 13 268 158 145 102 83 31 539
Audrey Basinko France 13 217 0.8× 242 1.5× 119 0.8× 53 0.5× 118 1.4× 33 512
Shunsuke Kimura Japan 13 203 0.8× 95 0.6× 144 1.0× 54 0.5× 67 0.8× 40 476
Anke K. Bergmann Germany 12 244 0.9× 113 0.7× 59 0.4× 61 0.6× 128 1.5× 34 524
Michel Zwaan Netherlands 8 320 1.2× 335 2.1× 87 0.6× 102 1.0× 78 0.9× 19 715
T.S.K. Wan China 13 269 1.0× 249 1.6× 99 0.7× 130 1.3× 86 1.0× 44 610
W.L. Neuman United States 10 251 0.9× 131 0.8× 101 0.7× 61 0.6× 46 0.6× 18 476
Jacqueline R. Batanian United States 15 206 0.8× 113 0.7× 186 1.3× 35 0.3× 82 1.0× 56 568
Cristina Rosanda Italy 12 194 0.7× 193 1.2× 54 0.4× 63 0.6× 70 0.8× 38 479
LC Bowman United States 6 128 0.5× 156 1.0× 125 0.9× 57 0.6× 43 0.5× 7 424
Christine R. Bryke United States 13 268 1.0× 64 0.4× 229 1.6× 56 0.5× 65 0.8× 31 529

Countries citing papers authored by Javier Suela

Since Specialization
Citations

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

Fields of papers citing papers by Javier Suela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Suela

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Suela. A scholar is included among the top collaborators of Javier Suela 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 Javier Suela. Javier Suela 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.
García‐Arranz, Mariano, et al.. (2023). Differential presence of exons (DPE): sequencing liquid biopsy by NGS. A new method for clustering colorectal Cancer patients. BMC Cancer. 23(1). 2–2. 1 indexed citations
2.
García, Belén Prieto, B. Adiego, Javier Suela, et al.. (2020). Cribado y diagnóstico prenatal de anomalías genéticas: recomendaciones de consenso SEGO, SEQCML, AEDP. SHILAP Revista de lepidopterología. 1(3).
3.
Suela, Javier, I. López, Lluı́s Armengol, et al.. (2017). Recomendaciones para el uso de microarrays en el diagnóstico prenatal. Medicina Clínica. 148(7). 328.e1–328.e8. 9 indexed citations
4.
Cañón, Susana, Antonio Molina, Javier Suela, et al.. (2017). Polμ deficiency induces moderate shortening of P53−/− mouse lifespan and modifies tumor spectrum. DNA repair. 54. 40–45. 2 indexed citations
5.
Rodríguez, Sandra, Raúl Torres, Javier Suela, et al.. (2015). Truncated RUNX1 protein generated by a novel t(1;21)(p32;q22) chromosomal translocation impairs the proliferation and differentiation of human hematopoietic progenitors. Oncogene. 35(1). 125–134. 21 indexed citations
6.
Suela, Javier, et al.. (2013). A 2.84 Mb deletion at 21q22.11 in a patient clinically diagnosed with marden–walker syndrome. American Journal of Medical Genetics Part A. 161(9). 2281–2290. 4 indexed citations
7.
Suela, Javier, et al.. (2012). Neonatal detection of 5p13.2 duplication and delineation of the phenotype. American Journal of Medical Genetics Part A. 158A(4). 877–881. 5 indexed citations
8.
Suela, Javier, et al.. (2012). Ictiosis ligada al cromosoma X asociada a epilepsia, hiperactividad, autismo y retraso mental, por microdeleción Xp22.31. Revista de Neurología. 54(4). 241–241. 8 indexed citations
9.
Cascón, Alberto, Luis J. Leandro‐García, Rocío Letón, et al.. (2011). Detection of the first gross CDC73 germline deletion in an HPT‐JT syndrome family. Genes Chromosomes and Cancer. 50(11). 922–929. 37 indexed citations
10.
Suela, Javier, et al.. (2011). Anomalías cromosómicas subteloméricas en pacientes con retraso mental criptogénico. Anales de Pediatría. 75(6). 365–371. 4 indexed citations
11.
Álvarez, Sara, Javier Suela, Ana Valencia, et al.. (2010). DNA Methylation Profiles and Their Relationship with Cytogenetic Status in Adult Acute Myeloid Leukemia. PLoS ONE. 5(8). e12197–e12197. 61 indexed citations
12.
Lasa, Adriana, Teresa Ramón y Cajal, Gemma Llort, et al.. (2010). Copy number variations are not modifiers of phenotypic expression in a pair of identical twins carrying a BRCA1 mutation. Breast Cancer Research and Treatment. 123(3). 901–905. 11 indexed citations
13.
Martín-Pérez, Daniel, Esther Sánchez, Lorena Maestre, et al.. (2010). Deregulated Expression of the Polycomb-Group Protein SUZ12 Target Genes Characterizes Mantle Cell Lymphoma. American Journal Of Pathology. 177(2). 930–942. 39 indexed citations
14.
Ballesta‐Martínez, María Juliana, et al.. (2010). Molecular characterization of a new patient with a non‐recurrent inv dup del 2q and review of the mechanisms for this rearrangement. American Journal of Medical Genetics Part A. 152A(10). 2670–2680. 10 indexed citations
17.
Suela, Javier, Sara Álvarez, Francisco Tejada Cifuentes, et al.. (2007). DNA profiling analysis of 100 consecutive de novo acute myeloid leukemia cases reveals patterns of genomic instability that affect all cytogenetic risk groups. Leukemia. 21(6). 1224–1231. 38 indexed citations
18.
Suela, Javier, Sara Álvarez, & Juan C. Cigudosa. (2007). DNA profiling by arrayCGH in acute myeloid leukemia and myelodysplastic syndromes. Cytogenetic and Genome Research. 118(2-4). 304–309. 32 indexed citations
19.
Moral, Manuel Gómez del, Yolanda Campos‐Martín, Javier Suela, et al.. (2005). Expression of adhesion molecules and RANTES in kidney transplant from nonheart-beating donors. Transplant International. 18(3). 333–340. 5 indexed citations
20.
Campos‐Martín, Yolanda, et al.. (2004). Expression of Human CD1d Molecules Protects Target Cells from NK Cell-Mediated Cytolysis. The Journal of Immunology. 172(12). 7297–7305. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026