Julio Iglesias

456 total citations
21 papers, 361 citations indexed

About

Julio Iglesias is a scholar working on Hematology, Immunology and Genetics. According to data from OpenAlex, Julio Iglesias has authored 21 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 5 papers in Immunology and 4 papers in Genetics. Recurrent topics in Julio Iglesias's work include Immunodeficiency and Autoimmune Disorders (4 papers), Immune Cell Function and Interaction (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Julio Iglesias is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (4 papers), Immune Cell Function and Interaction (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Julio Iglesias collaborates with scholars based in Spain, United Kingdom and France. Julio Iglesias's co-authors include N Matamoros, Joana M. Ferrer, William MacNee, Àlvar Agustí, Wan Wang, Abdelkrim Khelif, Bahram Djafari‐Rouhani, Yabin Jin, Xavier Busquets and Cristina Miralles and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and CHEST Journal.

In The Last Decade

Julio Iglesias

20 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julio Iglesias Spain 11 127 89 56 47 43 21 361
Yimiao Zhang China 10 110 0.9× 113 1.3× 56 1.0× 19 0.4× 14 0.3× 33 439
Hengcheng Zhang China 16 188 1.5× 44 0.5× 15 0.3× 62 1.3× 12 0.3× 62 681
Y Kobayashi Japan 13 145 1.1× 65 0.7× 24 0.4× 9 0.2× 19 0.4× 26 495
An Sha Zhao China 10 50 0.4× 45 0.5× 13 0.2× 44 0.9× 7 0.2× 30 340
Xindi Wang China 11 56 0.4× 19 0.2× 21 0.4× 59 1.3× 18 0.4× 39 405
Aiming Pang China 13 118 0.9× 23 0.3× 259 4.6× 24 0.5× 4 0.1× 103 573
Yun-Ting Hsu Taiwan 11 154 1.2× 20 0.2× 13 0.2× 71 1.5× 26 0.6× 18 442
Nuri Lee South Korea 12 46 0.4× 64 0.7× 40 0.7× 214 4.6× 38 0.9× 45 566
Athena Economides United States 8 140 1.1× 62 0.7× 13 0.2× 68 1.4× 4 0.1× 16 371

Countries citing papers authored by Julio Iglesias

Since Specialization
Citations

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

Fields of papers citing papers by Julio Iglesias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julio Iglesias

This figure shows the co-authorship network connecting the top 25 collaborators of Julio Iglesias. A scholar is included among the top collaborators of Julio Iglesias 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 Julio Iglesias. Julio Iglesias 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.
Andrade, Bernardo López, Leyre Bento, Julio Iglesias, et al.. (2024). Plasma from patients undergoing allogeneic hematopoietic stem cell transplantation promotes NETOSIS in vitro and correlates with inflammatory parameters and clinical severity. Frontiers in Immunology. 15. 1 indexed citations
2.
Bernués, Marta, Teresa González, Luís A. Corchete, et al.. (2022). t(10;12)(q24;q15): A new cytogenetic marker in hematological malignancies. Cancer Genetics. 264-265. 60–65. 1 indexed citations
3.
Wang, Wan, Julio Iglesias, Yabin Jin, Bahram Djafari‐Rouhani, & Abdelkrim Khelif. (2021). Experimental realization of a pillared metasurface for flexural wave focusing. APL Materials. 9(5). 50 indexed citations
4.
Andrade, Bernardo López, et al.. (2020). Leukemia cutis at onset of acute leukemia of ambiguous lineage. SHILAP Revista de lepidopterología. 2(1). 11–12. 1 indexed citations
5.
Toledo-Pons, Núria, Guillaume Noell, Andreas Jahn, et al.. (2018). Bone marrow characterization in COPD: a multi-level network analysis. Respiratory Research. 19(1). 118–118. 8 indexed citations
6.
Bose, Nandita, Benjamin R. Harrison, Anthony W.H. Chan, et al.. (2016). Anti-beta glucan antibodies represent a mechanism-based biomarker to select patients responsive to the novel immunotherapeutic, Imprime PGG. European Journal of Cancer. 69. S106–S107. 1 indexed citations
7.
Andrade, Bernardo López, Antonio Gutiérrez, María Antonia Durán, et al.. (2015). Acute lymphoblastic leukemia with e1a3 BCR/ABL fusion protein. A report of two cases. Experimental Hematology and Oncology. 5(1). 21–21. 9 indexed citations
8.
Martínez-Serra, Jordi, Raquel Del Campo, Antonio Gutiérrez, et al.. (2014). Chronic myeloid leukemia with an e1a3 BCR-ABL fusion protein: transformation to lymphoid blast crisis. Biomarker Research. 2(1). 14–14. 10 indexed citations
9.
Bernués, Marta, María Antonia Durán, Julio Iglesias, et al.. (2014). Genetics of lymphocytes influences the emergence of second cancer in chronic lymphocytic leukemia.. PubMed. 34(5). 2311–4. 1 indexed citations
10.
Iglesias, Julio, et al.. (2013). Estandarización de la citometría de flujo en el estudio de las uveítis. 28(3). 25–29. 1 indexed citations
11.
Clemente, Antonio, Jaime Pons, N Matamoros, Julio Iglesias, & Joana M. Ferrer. (2011). B cells from common variable immunodeficiency patients fail to differentiate to antibody secreting cells in response to TLR9 ligand (CpG-ODN) or anti-CD40 + IL21. Cellular Immunology. 268(1). 9–15. 11 indexed citations
12.
Pons, Jaime, Antonio Clemente, Julio Iglesias, et al.. (2010). Defective B cell response to TLR9 ligand (CpG-ODN), Streptococcus pneumoniae and Haemophilus influenzae extracts in common variable immunodeficiency patients. Cellular Immunology. 262(2). 105–111. 23 indexed citations
13.
14.
Galantini, Juán Alberto, et al.. (2007). Las fracciones orgánicas como herramienta de diagnóstico. CONICET Digital (CONICET). 2 indexed citations
15.
Galmés, A., Antonio Gutiérrez, Antònia Sampol, et al.. (2005). Long-Term Hematologic Reconstitution and Clinical Evaluation of APBSCT with Cryopreservation of Stem Cells with 5- and 10-Percent DMSO at -80°C Mechanical Freezer.. Blood. 106(11). 5267–5267. 1 indexed citations
16.
Noguera, Aina, et al.. (2004). Expression of Adhesion Molecules During Apoptosis of Circulating Neutrophils in COPD. CHEST Journal. 125(5). 1837–1842. 31 indexed citations
17.
Miralles, Cristina, et al.. (2001). Enhanced neutrophil response in chronic obstructive pulmonary disease. Thorax. 56(6). 432–437. 60 indexed citations
18.
Iglesias, Julio, et al.. (1999). CD95 expression and function on lymphocyte subpopulations in common variable immunodeficiency (CVID); related to increased apoptosis. Clinical & Experimental Immunology. 117(1). 138–146. 37 indexed citations
19.
Iglesias, Julio. (1998). Room temperature triclinic modification of NASICON-type LiZr2(PO4)3. Solid State Ionics. 112(3-4). 309–318. 29 indexed citations
20.
Ferrer, Joana M., Julio Iglesias, M. Hernández, & N Matamoros. (1995). Alterations in interleukin secretion (IL-2 and IL-4) by CD4 and CD4 CD45RO cells from common variable immunodeficiency (CVI) patients. Clinical & Experimental Immunology. 102(2). 286–289. 31 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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