Isabel Aguilera

1.3k total citations
43 papers, 990 citations indexed

About

Isabel Aguilera is a scholar working on Molecular Biology, Hepatology and Epidemiology. According to data from OpenAlex, Isabel Aguilera has authored 43 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Hepatology and 11 papers in Epidemiology. Recurrent topics in Isabel Aguilera's work include Liver Diseases and Immunity (13 papers), Glutathione Transferases and Polymorphisms (9 papers) and Renal Transplantation Outcomes and Treatments (7 papers). Isabel Aguilera is often cited by papers focused on Liver Diseases and Immunity (13 papers), Glutathione Transferases and Polymorphisms (9 papers) and Renal Transplantation Outcomes and Treatments (7 papers). Isabel Aguilera collaborates with scholars based in Spain, United States and Australia. Isabel Aguilera's co-authors include Antonio Núñez‐Roldán, Roger E. Karess, I. Wichmann, Xiao-Jia Chang, Kevin A. Edwards, Sanjay Kulkarni, J.M. Sousa, José-Raúl Garcı́a-Lozano, A Bernardos and Francisco Socas Gavilán and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and Stroke.

In The Last Decade

Isabel Aguilera

41 papers receiving 974 citations

Peers

Isabel Aguilera

HEPAT

SURGE

EPIDE

BONNIE J. LINDMAN United States

Olivier Brégerie France

S Sekiguchi Japan

Fritz H. Bach United States

Ella Kaganovsky Israel

Masahiro Takeuchi Japan

Stephen Rainer Australia

Motohiro Takeya Japan

Marzena Zdanowicz United States

Ludmila Weiz Germany

BONNIE J. LINDMAN United States

Isabel Aguilera

153 ×0.4

108 ×0.5

73 ×0.3

HEPAT

696 ×3.4

SURGE

34 ×0.2

EPIDE

Citations per year, relative to Isabel Aguilera Isabel Aguilera (= 1×) peers BONNIE J. LINDMAN

Countries citing papers authored by Isabel Aguilera

Since Specialization

Citations

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

Fields of papers citing papers by Isabel Aguilera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Aguilera

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

All Works

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20 of 20 papers shown

Suarez, A., et al.. (2019). Computer-Assisted Definition of the Inflammatory Infiltrates in Patients With Different Categories of Banff Kidney Allograft Rejection. Frontiers in Immunology. 10. 2605–2605. 10 indexed citations

Sousa, J.M., et al.. (2018). Identification of the cellular components involved in de novo immune hepatitis: a quantitative immunohistochemical analysis. Journal of Translational Medicine. 16(1). 62–62. 4 indexed citations

Sánchez, Berta, J.M. Sousa, Maria Acevedo-Calado, et al.. (2017). T-cell allorecognition of donor glutathione S-transferase T1 in plasma cell-rich rejection. World Journal of Hepatology. 9(27). 1115–1124. 3 indexed citations

Aguilera, Isabel, et al.. (2015). IgG subclass profile among anti‐Glutathione S‐transferase T1 antibodies in post‐transplant de novo immune hepatitis. Clinical Transplantation. 30(3). 210–217. 5 indexed citations

Calderón‐Cabrera, Cristina, Francisco J. Márquez‐Malaver, Ildefonso Espigado, et al.. (2014). Mismatch on Glutathione S-Transferase T1 Increases the Risk of Graft-versus-Host Disease and Mortality after Allogeneic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 20(9). 1356–1362. 7 indexed citations

Espigado, Ildefonso, Josè Antonio Pérez-Simón, Pilar Pérez‐Romero, et al.. (2011). Influence of glutathione S-transferase T1 donor/recipient mismatch and anti-GSTT1 antibodies in hepatic graft-versus-host-disease. Immunology Letters. 141(1). 140–144. 4 indexed citations

Aguilera, Isabel, et al.. (2010). Choice of calcineurin inhibitor may influence the development of de novo immune hepatitis associated with anti‐GSTT1 antibodies after liver transplantation. Clinical Transplantation. 25(2). 207–212. 16 indexed citations

González‐Escribano, María Francisca, et al.. (2010). Donor-specific antibody detection: comparison of single antigen assay and Luminex crossmatches. Tissue Antigens. 76(5). 398–403. 14 indexed citations

Aguilera, Isabel, M.A. Gentil, Gabriel Bernal, et al.. (2009). Donor-Specific Antibodies Against HLA, MICA, and GSTT1 in Patients with Allograft Rejection and C4d Deposition in Renal Biopsies. Transplantation. 87(1). 94–99. 47 indexed citations

10.

Aguilera, Isabel, et al.. (2008). Anti-glutathione S-transferase T1 antibody-mediated rejection in C4d-positive renal allograft recipients. Nephrology Dialysis Transplantation. 23(7). 2393–2398. 26 indexed citations

11.

Ábalos, A., et al.. (2007). Caracterización de las aguas residuales de la planta refinadora de aceites comestibles ERASOL. SHILAP Revista de lepidopterología. 38(3). 220–223. 1 indexed citations

12.

Wichmann, I., et al.. (2006). Antibodies against glutathione S‐transferase T1 in non–solid organ transplanted patients. Transfusion. 46(9). 1505–1509. 12 indexed citations

13.

Aguilera, Isabel, et al.. (2005). Alloimmune Response Against Donor Glutathione S-Transferase T1 Antigen in Renal Transplant Recipients. American Journal of Kidney Diseases. 46(2). 345–350. 8 indexed citations

14.

Aguilera, Isabel, I. Wichmann, J.M. Sousa, et al.. (2003). Antibodies against glutathione S-transferase T1 in patients with immune hepatitis after liver transplantation. Transplantation Proceedings. 35(2). 712–712. 6 indexed citations

15.

Aguilera, Isabel, et al.. (2001). Molecular structure of eight human autoreactive monoclonal antibodies. Immunology. 102(3). 273–280. 51 indexed citations

16.

Aguilera, Isabel, et al.. (2001). Mitochondrial DNA point mutation in the COI gene in a patient with McArdle's disease. Journal of the Neurological Sciences. 192(1-2). 81–84. 8 indexed citations

17.

Gil-Peralta, A, et al.. (2001). Mitochondrial Disease and Stroke. Stroke. 32(11). 2507–2510. 28 indexed citations

18.

Garcı́a-Lozano, José-Raúl, et al.. (2000). A new mitochondrial DNA mutation in the tRNA leucine 1 gene (C3275A) in a patient with Leber's hereditary optic neuropathy. Human Mutation. 15(1). 120–121. 11 indexed citations

19.

Yélamos, José, José-Raúl Garcı́a-Lozano, Isabel Aguilera, et al.. (1993). Association of hla–dr4‐dw15 (drb1*0405) and dr10 with rheumatoid arthritis in a spanish population. Arthritis & Rheumatism. 36(6). 811–814. 76 indexed citations

20.

Karess, Roger E., et al.. (1991). The regulatory light chain of nonmuscle myosin is encoded by spaghetti-squash, a gene required for cytokinesis in Drosophila. Cell. 65(7). 1177–1189. 243 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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