Guillermo Mazzolini

11.0k total citations
115 papers, 4.0k citations indexed

About

Guillermo Mazzolini is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Guillermo Mazzolini has authored 115 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Oncology, 40 papers in Immunology and 35 papers in Molecular Biology. Recurrent topics in Guillermo Mazzolini's work include Immunotherapy and Immune Responses (34 papers), CAR-T cell therapy research (24 papers) and Virus-based gene therapy research (21 papers). Guillermo Mazzolini is often cited by papers focused on Immunotherapy and Immune Responses (34 papers), CAR-T cell therapy research (24 papers) and Virus-based gene therapy research (21 papers). Guillermo Mazzolini collaborates with scholars based in Argentina, Spain and United States. Guillermo Mazzolini's co-authors include Jesús Prìeto, Ignacio Melero, Cheng Qian, Mariana Garcı́a, Bruno Sangro, Catalina Atorrasagasti, Esteban Fiore, Mariana Malvicini, Jorge B. Aquino and Juan Bayo and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and Gastroenterology.

In The Last Decade

Guillermo Mazzolini

110 papers receiving 3.9k citations

Peers

Guillermo Mazzolini
Guillermo Mazzolini
Citations per year, relative to Guillermo Mazzolini Guillermo Mazzolini (= 1×) peers Yasuharu Nishimura

Countries citing papers authored by Guillermo Mazzolini

Since Specialization
Citations

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

Fields of papers citing papers by Guillermo Mazzolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillermo Mazzolini

This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Mazzolini. A scholar is included among the top collaborators of Guillermo Mazzolini 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 Guillermo Mazzolini. Guillermo Mazzolini 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.
Pacienza, Natalia, Carlos Luzzani, Santiago Miriuka, et al.. (2023). Chromatographic Scalable Method to Isolate Engineered Extracellular Vesicles Derived from Mesenchymal Stem Cells for the Treatment of Liver Fibrosis in Mice. International Journal of Molecular Sciences. 24(11). 9586–9586. 4 indexed citations
3.
Bayo, Juan, et al.. (2023). Hepatic SPARC Expression Is Associated with Inflammasome Activation during the Progression of Non-Alcoholic Fatty Liver Disease in Both Mice and Morbidly Obese Patients. International Journal of Molecular Sciences. 24(19). 14843–14843. 1 indexed citations
4.
Bayo, Juan, Esteban Fiore, Mariana Malvicini, et al.. (2020). Bioinformatic analysis of RHO family of GTPases identifies RAC1 pharmacological inhibition as a new therapeutic strategy for hepatocellular carcinoma. Gut. 70(7). 1362–1374. 18 indexed citations
5.
Malvicini, Mariana, Ana Gutiérrez‐Moraga, Lorena Salazar, et al.. (2018). A Tricin Derivative from Deschampsia antarctica Desv. Inhibits Colorectal Carcinoma Growth and Liver Metastasis through the Induction of a Specific Immune Response. Molecular Cancer Therapeutics. 17(5). 966–976. 23 indexed citations
6.
Fassio, E, et al.. (2016). Consenso y Guías Argentinas para la Vigilancia, Diagnóstico y Tratamiento del Hepatocarcinoma. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 46(4). 350–374.
7.
Fiore, Esteban, Mariana Malvicini, Juan Bayo, et al.. (2016). Involvement of hepatic macrophages in the antifibrotic effect of IGF-I-overexpressing mesenchymal stromal cells. Stem Cell Research & Therapy. 7(1). 172–172. 29 indexed citations
8.
Sanmamed, Miguel F., Inmaculada Rodríguez, Kurt A. Schalper, et al.. (2015). Nivolumab and Urelumab Enhance Antitumor Activity of Human T Lymphocytes Engrafted in Rag2−/−IL2Rγnull Immunodeficient Mice. Cancer Research. 75(17). 3466–3478. 129 indexed citations
9.
Sanmamed, Miguel F., Carlos Alfaro, Carmen Oñate, et al.. (2014). Serum Interleukin-8 Reflects Tumor Burden and Treatment Response across Malignancies of Multiple Tissue Origins. Clinical Cancer Research. 20(22). 5697–5707. 204 indexed citations
10.
Fiore, Esteban, Juan Bayo, Mariana Garcı́a, et al.. (2014). Mesenchymal Stromal Cells Engineered to Produce IGF-I by Recombinant Adenovirus Ameliorate Liver Fibrosis in Mice. Stem Cells and Development. 24(6). 791–801. 68 indexed citations
11.
Ochoa, María C., Jessica Fioravanti, Inmaculada Rodríguez, et al.. (2012). Antitumor Immunotherapeutic and Toxic Properties of an HDL-Conjugated Chimeric IL-15 Fusion Protein. Cancer Research. 73(1). 139–149. 39 indexed citations
12.
Bolontrade, Marcela F., et al.. (2012). A Specific Subpopulation of Mesenchymal Stromal Cell Carriers Overrides Melanoma Resistance to an Oncolytic Adenovirus. Stem Cells and Development. 21(14). 2689–2702. 27 indexed citations
13.
Rizzo, Manglio, et al.. (2010). Suramab, a novel antiangiogenic agent, reduces tumor growth and corneal neovascularization. Cancer Chemotherapy and Pharmacology. 67(3). 723–728. 11 indexed citations
14.
Cafferata, Eduardo G., et al.. (2009). A Novel A33 Promoter–Based Conditionally Replicative Adenovirus Suppresses Tumor Growth and Eradicates Hepatic Metastases in Human Colon Cancer Models. Clinical Cancer Research. 15(9). 3037–3049. 22 indexed citations
15.
Podhajcer, Osvaldo L., et al.. (2007). Cytokine gene transfer for cancer therapy. Cytokine & Growth Factor Reviews. 18(1-2). 183–194. 29 indexed citations
16.
Mazzolini, Guillermo, Carlos Alfaro, Bruno Sangro, et al.. (2005). 1134. Intratumoral Injection of Dendritic Cells Engineered to Secrete Interleukin-12 by Recombinant Adenovirus in Patients with Metastatic Gastrointestinal Carcinomas. Molecular Therapy. 11. S437–S438. 5 indexed citations
17.
Melero, Ignacio, Iñigo Tirapu, Ainhoa Arina, et al.. (2003). Anti-ICAM-2 monoclonal antibody synergizes with intratumor gene transfer of interleukin-12 inhibiting activation-induced T-cell death.. PubMed. 9(10 Pt 1). 3546–54. 7 indexed citations
18.
Melero, Ignacio, Ángel L. Corbí, Miguel Relloso, et al.. (2002). An anti-ICAM-2 (CD102) monoclonal antibody induces immune-mediated regressions of transplanted ICAM-2-negative colon carcinomas.. PubMed. 62(11). 3167–74. 17 indexed citations
19.
Rodrı́guez-Calvillo, Mercedes, Marina Duarte, Iñigo Tirapu, et al.. (2002). Upregulation of natural killer cells functions underlies the efficacy of intratumorally injected dendritic cells engineered to produce interleukin-12. Experimental Hematology. 30(3). 195–204. 27 indexed citations
20.
Rodrı́guez-Calvillo, Mercedes, Marina Duarte, Guillermo Mazzolini, et al.. (2001). Thrombopenic purpura induced by a monoclonal antibody directed to a 35-kilodalton surface protein (p35) expressed on murine platelets and endothelial cells. Experimental Hematology. 29(5). 589–595. 5 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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