Diana Castaño

2.5k total citations
32 papers, 1.2k citations indexed

About

Diana Castaño is a scholar working on Immunology, Molecular Biology and Rheumatology. According to data from OpenAlex, Diana Castaño has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 9 papers in Molecular Biology and 8 papers in Rheumatology. Recurrent topics in Diana Castaño's work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (9 papers) and Extracellular vesicles in disease (8 papers). Diana Castaño is often cited by papers focused on T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (9 papers) and Extracellular vesicles in disease (8 papers). Diana Castaño collaborates with scholars based in Colombia, United States and Netherlands. Diana Castaño's co-authors include Mauricio Rojas, Gloria Vásquez, Catalina Burbano, José Luis Franco, Cristina Woellner, Mirjam van der Burg, Carel J.M. van Noesel, Menno C. van Zelm, Jacques J. M. van Dongen and Bodo Grimbacher and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Diana Castaño

32 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diana Castaño Colombia 16 750 322 201 180 124 32 1.2k
Fabian Hauck Germany 20 736 1.0× 238 0.7× 131 0.7× 221 1.2× 215 1.7× 64 1.2k
Myriam Martin Sweden 20 1.1k 1.4× 445 1.4× 252 1.3× 128 0.7× 148 1.2× 39 1.6k
Almut Meyer‐Bahlburg Germany 19 1.4k 1.8× 249 0.8× 208 1.0× 235 1.3× 133 1.1× 41 1.9k
Jill Giles‐Komar United States 17 632 0.8× 349 1.1× 141 0.7× 211 1.2× 161 1.3× 30 1.3k
Vanessa L. Bryant Australia 17 1.3k 1.7× 341 1.1× 123 0.6× 196 1.1× 187 1.5× 33 1.8k
Aleida M. Bakker Netherlands 15 714 1.0× 200 0.6× 209 1.0× 63 0.3× 142 1.1× 20 1.2k
Michael Gombert Germany 17 1.3k 1.7× 249 0.8× 264 1.3× 147 0.8× 106 0.9× 28 1.8k
Jean L. Scholz United States 16 1.2k 1.6× 157 0.5× 210 1.0× 93 0.5× 185 1.5× 23 1.5k
Jonatan Leffler Australia 17 1.0k 1.4× 363 1.1× 373 1.9× 133 0.7× 83 0.7× 34 1.4k
Talat H. Malik United Kingdom 23 1.4k 1.9× 440 1.4× 145 0.7× 153 0.8× 173 1.4× 40 2.0k

Countries citing papers authored by Diana Castaño

Since Specialization
Citations

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

Fields of papers citing papers by Diana Castaño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Castaño

This figure shows the co-authorship network connecting the top 25 collaborators of Diana Castaño. A scholar is included among the top collaborators of Diana Castaño 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 Diana Castaño. Diana Castaño 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.
Castaño, Diana, Sidney Wang, Hannah Sharpe, et al.. (2024). IL-12 drives the differentiation of human T follicular regulatory cells. Science Immunology. 9(97). eadf2047–eadf2047. 9 indexed citations
2.
Castaño, Diana, et al.. (2024). Extreme temperatures in 2023 generate mass coral reef bleaching in the western Caribbean, Seaflower Biosphere Reserve. Bulletin of Marine Science. 100(4). 793–794. 2 indexed citations
3.
4.
Rincón-Arévalo, Héctor, Catalina Burbano, Mauricio Rojas, et al.. (2022). Modulation of B cell activation by extracellular vesicles and potential alteration of this pathway in patients with rheumatoid arthritis. Arthritis Research & Therapy. 24(1). 169–169. 13 indexed citations
5.
Aguillón, David, Andrés Villegas, Diana Castaño, et al.. (2020). Differential Profile of Systemic Extracellular Vesicles From Sporadic and Familial Alzheimer’s Disease Leads to Neuroglial and Endothelial Cell Degeneration. Frontiers in Aging Neuroscience. 12. 587989–587989. 20 indexed citations
6.
Castillo, Jorge Andrés, et al.. (2019). Inmunopatología del dengue: importancia y participación de los monocitos y sus subpoblaciones. SHILAP Revista de lepidopterología. 32(3). 204–216. 3 indexed citations
7.
Rojas, Mauricio, Gloria Vásquez, Carlos Horacio Muñoz‐Vahos, et al.. (2019). Endothelial activation and injury by microparticles in patients with systemic lupus erythematosus and rheumatoid arthritis. Arthritis Research & Therapy. 21(1). 34–34. 44 indexed citations
8.
9.
Burbano, Catalina, Mauricio Rojas, Carlos Horacio Muñoz‐Vahos, et al.. (2018). Extracellular vesicles are associated with the systemic inflammation of patients with seropositive rheumatoid arthritis. Scientific Reports. 8(1). 17917–17917. 44 indexed citations
10.
Burbano, Catalina, Adriana Lucía Vanegas-García, Carlos Horacio Muñoz‐Vahos, et al.. (2018). Platelet-derived microparticles generated in vitro resemble circulating vesicles of patients with rheumatoid arthritis and activate monocytes. Cellular Immunology. 336. 1–11. 21 indexed citations
11.
Castillo, Jorge Andrés, et al.. (2018). Role of Monocytes in the Pathogenesis of Dengue. Archivum Immunologiae et Therapiae Experimentalis. 67(1). 27–40. 25 indexed citations
12.
Rincón-Arévalo, Héctor, Diana Castaño, Janny A. Villa-Pulgarín, et al.. (2016). Data in support of dyslipidemia-associated alterations in B cell subpopulations frequency and phenotype during experimental atherosclerosis. Data in Brief. 7. 958–972. 2 indexed citations
13.
Rincón-Arévalo, Héctor, et al.. (2015). Regulatory B Cells and Mechanisms. International Reviews of Immunology. 35(2). 1–21. 48 indexed citations
14.
Burbano, Catalina, Mauricio Rojas, Gloria Vásquez, & Diana Castaño. (2015). Microparticles That Form Immune Complexes as Modulatory Structures in Autoimmune Responses. Mediators of Inflammation. 2015(1). 267590–267590. 32 indexed citations
15.
16.
Castaño, Diana, Luis F. García, & Mauricio Rojas. (2014). Differentiation of human mononuclear phagocytes increases their innate response to Mycobacterium tuberculosis infection. Tuberculosis. 94(3). 207–218. 4 indexed citations
17.
Heit, Bryan, Hani Kim, Gabriela Cosı́o, et al.. (2013). Multimolecular Signaling Complexes Enable Syk-Mediated Signaling of CD36 Internalization. Developmental Cell. 24(4). 372–383. 97 indexed citations
18.
Castaño, Diana, Luis F. García, & Mauricio Rojas. (2011). Increased frequency and cell death of CD16+ monocytes with Mycobacterium tuberculosis infection. Tuberculosis. 91(5). 348–360. 93 indexed citations
19.
Castaño, Diana, Luis F. Barrera, & Mauricio Rojas. (2011). Mycobacterium tuberculosis alters the differentiation of monocytes into macrophages in vitro. Cellular Immunology. 268(2). 60–67. 29 indexed citations
20.
Zelm, Menno C. van, İsmail Reisli, Mirjam van der Burg, et al.. (2006). An Antibody-Deficiency Syndrome Due to Mutations in theCD19Gene. New England Journal of Medicine. 354(18). 1901–1912. 398 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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