Karina Pino‐Lagos

3.4k total citations · 2 hit papers
44 papers, 2.6k citations indexed

About

Karina Pino‐Lagos is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Karina Pino‐Lagos has authored 44 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 17 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Karina Pino‐Lagos's work include Immune Cell Function and Interaction (23 papers), Immunotherapy and Immune Responses (14 papers) and T-cell and B-cell Immunology (13 papers). Karina Pino‐Lagos is often cited by papers focused on Immune Cell Function and Interaction (23 papers), Immunotherapy and Immune Responses (14 papers) and T-cell and B-cell Immunology (13 papers). Karina Pino‐Lagos collaborates with scholars based in Chile, United States and United Kingdom. Karina Pino‐Lagos's co-authors include Randolph J. Noelle, Micah J. Benson, Mario Rosemblatt, Victor C. de Vries, Kathy A. Bennett, Indira Guleria, Li Wang, Mohamed H. Sayegh, Terry B. Strom and Zachary Scott and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Karina Pino‐Lagos

40 papers receiving 2.6k citations

Hit Papers

All-trans retinoic acid mediates enhanced T reg cell grow... 2006 2026 2012 2019 2007 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karina Pino‐Lagos Chile 20 1.9k 651 324 243 193 44 2.6k
Taku Kouro Japan 24 2.0k 1.0× 575 0.9× 493 1.5× 384 1.6× 114 0.6× 51 2.9k
Raúl Elgueta United States 20 1.6k 0.8× 676 1.0× 502 1.5× 120 0.5× 108 0.6× 28 2.6k
Victor C. de Vries United States 18 1.8k 0.9× 404 0.6× 525 1.6× 375 1.5× 246 1.3× 21 2.5k
Evelin Grage‐Griebenow Germany 22 1.4k 0.7× 497 0.8× 557 1.7× 169 0.7× 198 1.0× 37 2.2k
Maureen Gallant Canada 17 2.2k 1.2× 975 1.5× 195 0.6× 245 1.0× 314 1.6× 34 3.2k
Nancy D. Kim United States 15 1.0k 0.5× 850 1.3× 204 0.6× 270 1.1× 233 1.2× 18 2.3k
Brian K. Bonish United States 18 1.0k 0.5× 684 1.1× 339 1.0× 139 0.6× 117 0.6× 21 2.1k
Ioannis Kourtzelis United States 23 1.6k 0.9× 816 1.3× 138 0.4× 163 0.7× 176 0.9× 37 2.6k
Mona Saffarzadeh Germany 13 1.4k 0.8× 643 1.0× 109 0.3× 206 0.8× 127 0.7× 19 2.2k
George McGrady United States 5 3.5k 1.8× 677 1.0× 830 2.6× 283 1.2× 198 1.0× 5 4.6k

Countries citing papers authored by Karina Pino‐Lagos

Since Specialization
Citations

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

Fields of papers citing papers by Karina Pino‐Lagos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karina Pino‐Lagos. 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 Karina Pino‐Lagos. The network helps show where Karina Pino‐Lagos may publish in the future.

Co-authorship network of co-authors of Karina Pino‐Lagos

This figure shows the co-authorship network connecting the top 25 collaborators of Karina Pino‐Lagos. A scholar is included among the top collaborators of Karina Pino‐Lagos 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 Karina Pino‐Lagos. Karina Pino‐Lagos 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
2.
Rojas, Carolina, Carolina Pradenas, Gonzalo Bustos, et al.. (2025). A novel brain-to-gut communication pathway mediated by astrocyte-derived small extracellular vesicles modulates stress-induced intestinal inflammation. Molecular Psychiatry. 30(12). 5710–5721. 1 indexed citations
3.
Carvajal, Patricia, Sergio Aguilera, María‐José Barrera, et al.. (2024). Giantin mediates Golgi localization of Gal3-O-sulfotransferases and affects salivary mucin sulfation in patients with Sjögren’s disease. JCI Insight. 9(22).
4.
Padilla, Cristina Rodríguez, et al.. (2023). Extracellular Vesicles from Immune Cells: A Biomedical Perspective. International Journal of Molecular Sciences. 24(18). 13775–13775. 3 indexed citations
5.
6.
Rojas, Carolina, et al.. (2022). Crosstalk between Body Microbiota and the Regulation of Immunity. Journal of Immunology Research. 2022. 1–13. 9 indexed citations
7.
González, Camila, Laura Weber, Karina Pino‐Lagos, et al.. (2021). Soluble neuropilin-1 in gingival crevicular fluid is associated with rheumatoid arthritis: An exploratory case-control study. Journal of Oral Biology and Craniofacial Research. 11(2). 303–307. 8 indexed citations
8.
Court, Angela C., Patricia Luz‐Crawford, Víctor Aliaga-Tobar, et al.. (2020). Mitochondrial transfer from MSCs to T cells induces Treg differentiation and restricts inflammatory response. EMBO Reports. 21(2). e48052–e48052. 175 indexed citations
9.
Cáceres, Felipe, et al.. (2020). Soluble Neuropilin-1 in gingival crevicular fluid from periodontitis patients: An exploratory cross-sectional study. Journal of Oral Biology and Craniofacial Research. 11(1). 84–87. 10 indexed citations
10.
Oyarce, Karina, Mauricio Campos‐Mora, Carla Álvarez, et al.. (2017). Mesenchymal stem cells and their immunosuppressive role in transplantation tolerance. Annals of the New York Academy of Sciences. 1417(1). 35–56. 27 indexed citations
11.
Campos‐Mora, Mauricio, et al.. (2016). IL-33 enhances retinoic acid signaling on CD4+ T cells. Cytokine. 85. 120–122. 6 indexed citations
13.
García-González, Paulina A, Rodrigo A. Morales, Bárbara Pesce, et al.. (2013). A short protocol using dexamethasone and monophosphoryl lipid A generates tolerogenic dendritic cells that display a potent migratory capacity to lymphoid chemokines. Journal of Translational Medicine. 11(1). 128–128. 36 indexed citations
14.
Guo, Yanxia, Karina Pino‐Lagos, Kathy A. Bennett, et al.. (2012). A Retinoic Acid—Rich Tumor Microenvironment Provides Clonal Survival Cues for Tumor-Specific CD8+ T Cells. Cancer Research. 72(20). 5230–5239. 37 indexed citations
15.
Pino‐Lagos, Karina, Yanxia Guo, Chrysothemis C. Brown, et al.. (2011). A retinoic acid–dependent checkpoint in the development of CD4+ T cell–mediated immunity. The Journal of Experimental Medicine. 208(9). 1767–1775. 101 indexed citations
16.
Pino‐Lagos, Karina, Paula Michea, Daniela Sauma, et al.. (2010). Cyclosporin A-treated Dendritic Cells may affect the outcome of organ transplantation by decreasing CD4+CD25+ regulatory T cell proliferation. Biological Research. 43(3). 333–7. 15 indexed citations
17.
Pino‐Lagos, Karina, Micah J. Benson, & Randolph J. Noelle. (2008). Retinoic Acid in the Immune System. Annals of the New York Academy of Sciences. 1143(1). 170–187. 100 indexed citations
18.
Bono, Marı́a Rosa, Raúl Elgueta, Daniela Sauma, et al.. (2007). The essential role of chemokines in the selective regulation of lymphocyte homing. Cytokine & Growth Factor Reviews. 18(1-2). 33–43. 43 indexed citations
19.
Benson, Micah J., Karina Pino‐Lagos, Mario Rosemblatt, & Randolph J. Noelle. (2007). All-trans retinoic acid mediates enhanced T reg cell growth, differentiation, and gut homing in the face of high levels of co-stimulation. The Journal of Experimental Medicine. 204(8). 1765–1774. 683 indexed citations breakdown →
20.
Lu, Li‐Fan, Evan Lind, David Gondek, et al.. (2006). Mast cells are essential intermediaries in regulatory T-cell tolerance. Nature. 442(7106). 997–1002. 590 indexed citations breakdown →

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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