Norman Balcázar

1.1k total citations
36 papers, 884 citations indexed

About

Norman Balcázar is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Norman Balcázar has authored 36 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Surgery and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Norman Balcázar's work include Pancreatic function and diabetes (11 papers), Natural product bioactivities and synthesis (8 papers) and Natural Antidiabetic Agents Studies (8 papers). Norman Balcázar is often cited by papers focused on Pancreatic function and diabetes (11 papers), Natural product bioactivities and synthesis (8 papers) and Natural Antidiabetic Agents Studies (8 papers). Norman Balcázar collaborates with scholars based in Colombia, United States and France. Norman Balcázar's co-authors include Ernesto Bernal‐Mizrachi, Lynda Elghazi, Aaron Gould, Aaron Weiss, Szabolcs Fátrai, Corentin Cras‐Méneur, Irina Krits, Hiroaki Kiyokawa, Latif Rachdi and Michael J. Gambello and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Diabetes.

In The Last Decade

Norman Balcázar

32 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norman Balcázar Colombia 14 496 472 238 182 81 36 884
Hannah J. Welters United Kingdom 17 522 1.1× 417 0.9× 253 1.1× 172 0.9× 141 1.7× 24 937
M Delannoy United States 9 320 0.6× 639 1.4× 135 0.6× 239 1.3× 58 0.7× 9 1.0k
Ilir Mehmeti Germany 16 285 0.6× 355 0.8× 117 0.5× 128 0.7× 85 1.0× 25 776
Md Ansarullah India 14 237 0.5× 299 0.6× 174 0.7× 96 0.5× 46 0.6× 18 709
Irmgard Schuiki Canada 10 216 0.4× 301 0.6× 167 0.7× 73 0.4× 116 1.4× 12 660
Melissa J. Longacre United States 18 329 0.7× 393 0.8× 123 0.5× 127 0.7× 33 0.4× 20 683
Bryce van Denderen Australia 9 366 0.7× 725 1.5× 134 0.6× 57 0.3× 106 1.3× 10 953
Yan Hang United States 19 1.2k 2.4× 795 1.7× 517 2.2× 803 4.4× 56 0.7× 27 1.7k
Pamela J. McFie Canada 17 170 0.3× 564 1.2× 133 0.6× 138 0.8× 95 1.2× 25 953
Carmen Ruggiero France 14 170 0.3× 326 0.7× 126 0.5× 183 1.0× 39 0.5× 27 874

Countries citing papers authored by Norman Balcázar

Since Specialization
Citations

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

Fields of papers citing papers by Norman Balcázar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norman Balcázar

This figure shows the co-authorship network connecting the top 25 collaborators of Norman Balcázar. A scholar is included among the top collaborators of Norman Balcázar 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 Norman Balcázar. Norman Balcázar 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.
Balcázar, Norman, et al.. (2025). Study of insulin infusion in diabetic rats with an ultra‐low‐cost insulin pump for managing blood glucose levels. Journal of Diabetes Investigation. 16(10). 1782–1793.
2.
Balcázar, Norman, et al.. (2025). Encapsulation of Eucalyptus tereticornis extract in polylactic-co-glycolic acid nanoparticles: standardization, optimization and cell viability. Anais da Academia Brasileira de Ciências. 97(2). e20241069–e20241069. 1 indexed citations
3.
Acı́n, Sergio, et al.. (2025). Cecropia angustifolia Pentacyclic Triterpene Acids and Sacha Inchi Oil Improve Carbohydrate Metabolism and Inflammation in Prediabetic Mice. Advances in Pharmacological and Pharmaceutical Sciences. 2025(1). 4687213–4687213.
4.
Fernández, Geysson Javier, et al.. (2024). RNA-seq analysis reveals modulation of inflammatory pathways by an enriched-triterpene natural extract in mouse and human macrophage cell lines. Heliyon. 10(2). e24382–e24382. 3 indexed citations
5.
Civantos, Ana, Jean Paul Allain, Edwin Patiño, et al.. (2021). Synergistic Effect of rhBMP-2 Protein and Nanotextured Titanium Alloy Surface to Improve Osteogenic Implant Properties. Metals. 11(3). 464–464. 7 indexed citations
6.
Orozco, Jahir, et al.. (2020). Metabolic Activity of Anthocyanin Extracts Loaded into Non-ionic Niosomes in Diet-Induced Obese Mice. Pharmaceutical Research. 37(8). 152–152. 20 indexed citations
7.
Acı́n, Sergio, et al.. (2020). Triterpene-enriched fractions from Eucalyptus tereticornis ameliorate metabolic alterations in a mouse model of diet-induced obesity. Journal of Ethnopharmacology. 265. 113298–113298. 17 indexed citations
8.
Muñoz, Diana L., et al.. (2018). Immunometabolic regulation by triterpenes of Eucalyptus tereticornis in adipose tissue cell line models. Phytomedicine. 50. 109–117. 13 indexed citations
9.
10.
Velásquez, Claudia, et al.. (2017). In VitroEffect of Fatty Acids Identified in the Plasma of Obese Adolescents on the Function of Pancreatic β-Cells. Diabetes & Metabolism Journal. 41(4). 303–303. 8 indexed citations
11.
Muñoz, Diana L., et al.. (2015). Actividad antioxidante, contenido fenólico total y citotoxicidad de extractos polares obtenidos de plantas antidiabéticas colombianas. Revista cubana de plantas medicinales. 20(3). 0–0.
12.
Granados‐Principal, Sergio, et al.. (2015). Antihyperglycemic Activity ofEucalyptus tereticornisin Insulin-Resistant Cells and a Nutritional Model of Diabetic Mice. Advances in Pharmacological Sciences. 2015. 1–10. 16 indexed citations
13.
Granados‐Principal, Sergio, et al.. (2015). Evaluation of the Hypoglycemic Effects of Flavonoids and Extracts from Jatropha gossypifolia L.. Molecules. 20(4). 6181–6193. 17 indexed citations
14.
Balcázar, Norman, et al.. (2012). Role of AKT/mTORC1 pathway in pancreatic β-cell proliferation. Colombia medica. 43(3). 235–243. 26 indexed citations
15.
Balcázar, Norman, et al.. (2012). Role of AKT/mTORC1 pathway in pancreatic β-cell proliferation.. PubMed. 43(3). 235–43. 27 indexed citations
16.
Balcázar, Norman, Lynda Elghazi, Aaron Gould, et al.. (2009). mTORC1 Activation Regulates β-Cell Mass and Proliferation by Modulation of Cyclin D2 Synthesis and Stability. Journal of Biological Chemistry. 284(12). 7832–7842. 103 indexed citations
17.
18.
Rachdi, Latif, Norman Balcázar, Lynda Elghazi, et al.. (2006). Differential Effects of p27 in Regulation of β-Cell Mass During Development, Neonatal Period, and Adult Life. Diabetes. 55(12). 3520–3528. 37 indexed citations
19.
Elghazi, Lynda, Norman Balcázar, & Ernesto Bernal‐Mizrachi. (2005). Emerging role of protein kinase B/Akt signaling in pancreatic β-cell mass and function. The International Journal of Biochemistry & Cell Biology. 38(2). 157–163. 63 indexed citations
20.
Balcázar, Norman, et al.. (1996). Inmunogenicidad diferencial de dominios de las glicoproteínas de la envoltura del HTLV-I.. Colombia medica. 27(3,4). 101–105. 2 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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