Nicolás Pregi

495 total citations
18 papers, 373 citations indexed

About

Nicolás Pregi is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Nicolás Pregi has authored 18 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Hematology. Recurrent topics in Nicolás Pregi's work include Trace Elements in Health (3 papers), Stress Responses and Cortisol (2 papers) and Pluripotent Stem Cells Research (2 papers). Nicolás Pregi is often cited by papers focused on Trace Elements in Health (3 papers), Stress Responses and Cortisol (2 papers) and Pluripotent Stem Cells Research (2 papers). Nicolás Pregi collaborates with scholars based in Argentina, Austria and France. Nicolás Pregi's co-authors include Alcira Nesse, Daniela Vittori, Gladys Pérez, Eduardo T. Cánepa, Claudia Pérez Leirós, Laura M. Belluscio, D. Castillo, Graciela Garbossa, Manuel Pizarro and Bruno G. Berardino and has published in prestigious journals such as British Journal of Pharmacology, Experimental Cell Research and Psychopharmacology.

In The Last Decade

Nicolás Pregi

17 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolás Pregi Argentina 12 142 75 64 61 61 18 373
Monica Boveri Italy 9 121 0.9× 80 1.1× 12 0.2× 48 0.8× 30 0.5× 9 439
Rodolphe Janssens Belgium 9 304 2.1× 45 0.6× 17 0.3× 25 0.4× 63 1.0× 12 581
Anna László Hungary 10 98 0.7× 45 0.6× 19 0.3× 44 0.7× 34 0.6× 28 328
Anna M. Lenkiewicz Poland 13 159 1.1× 87 1.2× 33 0.5× 15 0.2× 82 1.3× 22 415
Emily W. Y. Tung Canada 11 211 1.5× 31 0.4× 19 0.3× 20 0.3× 38 0.6× 13 522
Maryam F. Afzali United States 9 107 0.8× 79 1.1× 10 0.2× 16 0.3× 80 1.3× 18 454
Miles R. Bryan United States 10 161 1.1× 22 0.3× 44 0.7× 10 0.2× 67 1.1× 11 388
Brian M. Luttrell Australia 14 187 1.3× 32 0.4× 17 0.3× 26 0.4× 43 0.7× 27 623
José Luis Ventura Mexico 12 147 1.0× 65 0.9× 8 0.1× 35 0.6× 44 0.7× 15 437
Antonie Giæver Beiske Norway 15 120 0.8× 168 2.2× 17 0.3× 104 1.7× 26 0.4× 22 629

Countries citing papers authored by Nicolás Pregi

Since Specialization
Citations

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

Fields of papers citing papers by Nicolás Pregi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolás Pregi

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

All Works

18 of 18 papers shown
1.
Rocha-Viegas, Luciana, Nicolás Pregi, María Gabriela Barbás, et al.. (2021). Pool Strategy for Surveillance Testing of SARS-CoV-2. 2(2). 41–54. 1 indexed citations
2.
3.
Pregi, Nicolás, Laura M. Belluscio, Bruno G. Berardino, D. Castillo, & Eduardo T. Cánepa. (2016). Oxidative stress-induced CREB upregulation promotes DNA damage repair prior to neuronal cell death protection. Molecular and Cellular Biochemistry. 425(1-2). 9–24. 39 indexed citations
4.
Belluscio, Laura M., et al.. (2016). Altered gene expression in hippocampus and depressive‐like behavior in young adult female mice by early protein malnutrition. Genes Brain & Behavior. 15(8). 741–749. 21 indexed citations
5.
Castillo, D., Anna Campalans, Laura M. Belluscio, et al.. (2015). E2F1 and E2F2 induction in response to DNA damage preserves genomic stability in neuronal cells. Cell Cycle. 14(8). 1300–1314. 26 indexed citations
6.
Compagno, Daniel, Lucas D. Gentilini, Ileana Montoya Perez, et al.. (2014). Galectins: Major Signaling Modulators Inside and Outside the Cell. Current Molecular Medicine. 14(5). 630–651. 49 indexed citations
7.
Carcagno, Abel L., Luciana E. Giono, Mariela C. Marazita, et al.. (2012). E2F1 induces p19INK4d, a protein involved in the DNA damage response, following UV irradiation. Molecular and Cellular Biochemistry. 366(1-2). 123–129. 9 indexed citations
8.
Hauk, Vanesa, et al.. (2009). Vasoactive intestinal peptide inhibits TNF-α-induced apoptotic events in acinar cells from nonobese diabetic mice submandibular glands. Arthritis Research & Therapy. 11(2). R53–R53. 20 indexed citations
9.
Pregi, Nicolás, Shirley D. Wenker, Daniela Vittori, Claudia Pérez Leirós, & Alcira Nesse. (2008). TNF-alpha-induced apoptosis is prevented by erythropoietin treatment on SH-SY5Y cells. Experimental Cell Research. 315(3). 419–431. 37 indexed citations
10.
Pregi, Nicolás. (2008). Estudio de la eritropoyetina como agente neuroprotector. Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires).
11.
Pérez, Gladys, et al.. (2007). Modulation of Protein Tyrosine Phosphatase 1B by Erythropoietin in UT-7 Cell Line. Cellular Physiology and Biochemistry. 20(5). 319–328. 11 indexed citations
12.
Pregi, Nicolás, Daniela Vittori, Gladys Pérez, Claudia Pérez Leirós, & Alcira Nesse. (2006). Effect of erythropoietin on staurosporine-induced apoptosis and differentiation of SH-SY5Y neuroblastoma cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1763(2). 238–246. 38 indexed citations
13.
Pérez, Gladys, Daniela Vittori, Nicolás Pregi, Graciela Garbossa, & Alcira Nesse. (2005). Homeostasis del hierro.: Mecanismos de absorción, captación celular y regulación. Acta bioquímica clínica latinoamericana. 39(3). 301–314. 14 indexed citations
14.
Pregi, Nicolás, et al.. (2005). Short-term oral exposure to aluminium decreases glutathione intestinal levels and changes enzyme activities involved in its metabolism. Journal of Inorganic Biochemistry. 99(9). 1871–1878. 39 indexed citations
15.
Pérez, Gladys, et al.. (2005). Aluminum exposure affects transferrin-dependent and -independent iron uptake by K562 cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1745(1). 124–130. 27 indexed citations
16.
Rosignoli, Florencia, et al.. (2004). Inhibition of calcium‐calmodulin kinase restores nitric oxide production and signaling in submandibular glands of a mouse model of salivary dysfunction. British Journal of Pharmacology. 143(8). 1058–1065. 11 indexed citations
17.
Vittori, Daniela, Nicolás Pregi, Gladys Pérez, Graciela Garbossa, & Alcira Nesse. (2004). The distinct erythropoietin functions that promote cell survival and proliferation are affected by aluminum exposure through mechanisms involving erythropoietin receptor. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1743(1-2). 29–36. 18 indexed citations
18.
Nesse, Alcira, Graciela Garbossa, Gladys Pérez, Daniela Vittori, & Nicolás Pregi. (2003). Aluminio: ¿culpable o inocente?. 2(1). 9–16. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026