Barbara Aguilar

874 total citations
10 papers, 715 citations indexed

About

Barbara Aguilar is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Barbara Aguilar has authored 10 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Barbara Aguilar's work include Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (3 papers) and Extracellular vesicles in disease (2 papers). Barbara Aguilar is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (3 papers) and Extracellular vesicles in disease (2 papers). Barbara Aguilar collaborates with scholars based in United States, France and Netherlands. Barbara Aguilar's co-authors include Alain Delcayre, Angeles Estellés, Sanjiv Ghanshani, George A. Gutman, Robert H. Spencer, K. George Chandy, Bruce L. Tempel, Calvin B. Williams, Pedro Paz and Jean‐Bernard Le Pecq and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Barbara Aguilar

10 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Barbara Aguilar United States	8	451	239	108	105	57	10	715
Tanja A.E. van Achterberg Netherlands	13	840 1.9×	248 1.0×	179 1.7×	72 0.7×	49 0.9×	19	1.1k
Christoph Schorl United States	18	503 1.1×	116 0.5×	40 0.4×	141 1.3×	55 1.0×	36	844
Peiguo Ding China	12	443 1.0×	156 0.7×	35 0.3×	95 0.9×	28 0.5×	17	819
Elena González-Muñoz Spain	14	396 0.9×	68 0.3×	63 0.6×	104 1.0×	69 1.2×	25	685
Michael Loubtchenkov Finland	7	558 1.2×	172 0.7×	54 0.5×	60 0.6×	62 1.1×	9	850
Thomas Koed Doktor Denmark	15	862 1.9×	182 0.8×	83 0.8×	96 0.9×	85 1.5×	33	1.1k
Xueping Xu United States	20	967 2.1×	228 1.0×	130 1.2×	125 1.2×	66 1.2×	42	1.4k
Marina Kovalenko United States	13	602 1.3×	129 0.5×	182 1.7×	70 0.7×	67 1.2×	25	866
Éric Lacazette France	18	914 2.0×	112 0.5×	117 1.1×	375 3.6×	82 1.4×	34	1.3k
Reiko Tsuchiya Japan	12	855 1.9×	66 0.3×	51 0.5×	267 2.5×	63 1.1×	20	1.2k

Countries citing papers authored by Barbara Aguilar

Since Specialization

Citations

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

Fields of papers citing papers by Barbara Aguilar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Aguilar

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

All Works

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10 of 10 papers shown

Chau, Bryant, Sean M. West, Christopher R. Kimberlin, et al.. (2021). Structures of mouse and human GITR–GITRL complexes reveal unique TNF superfamily interactions. Nature Communications. 12(1). 1378–1378. 18 indexed citations

Lee, Peter S., Bryant Chau, Christine Bee, et al.. (2021). Antibody blockade of CD96 by distinct molecular mechanisms. mAbs. 13(1). 1979800–1979800. 2 indexed citations

Passmore, David, Brian Lee, Barbara Aguilar, et al.. (2010). Abstract 2575: Activation of antibody drug conjugate MDX-1203 by human carboxylesterase. Cancer Research. 70(8_Supplement). 2575–2575. 5 indexed citations

Estellés, Angeles, Jeff Sperinde, Barbara Aguilar, et al.. (2007). Exosome nanovesicles displaying G protein-coupled receptors for drug discovery.. PubMed. 2(4). 751–60. 31 indexed citations

Yanofsky, Stephen, Emily S. Shen, Erik A. Whitehorn, et al.. (2006). Allosteric Activation of the Follicle-stimulating Hormone (FSH) Receptor by Selective, Nonpeptide Agonists. Journal of Biological Chemistry. 281(19). 13226–13233. 70 indexed citations

Delcayre, Alain, Angeles Estellés, Pedro Paz, et al.. (2005). Exosome Display technology: Applications to the development of new diagnostics and therapeutics. Blood Cells Molecules and Diseases. 35(2). 158–168. 156 indexed citations

Silvestre, Jean‐Sébastien, Clotilde Théry, Ghislaine Hamard, et al.. (2005). Lactadherin promotes VEGF-dependent neovascularization. Nature Medicine. 11(5). 499–506. 249 indexed citations

Koller, Kerry J., Erik A. Whitehorn, Emily Tate, et al.. (1997). A Generic Method for the Production of Cell Lines Expressing High Levels of 7-Transmembrane Receptors. Analytical Biochemistry. 250(1). 51–60. 26 indexed citations

Schooten, Wim C. A. van, et al.. (1994). Joint‐derived T cells in rheumatoid arthritis react with self‐immunoglobulin heavy chains or immunoglobulin‐binding proteins that copurify with immunoglobulin. European Journal of Immunology. 24(1). 93–98. 23 indexed citations

10.

Chandy, K. George, Calvin B. Williams, Robert H. Spencer, et al.. (1990). A Family of Three Mouse Potassium Channel Genes with Intronless Coding Regions. Science. 247(4945). 973–975. 135 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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