Gerardo M. Oresti

520 total citations
20 papers, 421 citations indexed

About

Gerardo M. Oresti is a scholar working on Molecular Biology, Reproductive Medicine and Biochemistry. According to data from OpenAlex, Gerardo M. Oresti has authored 20 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Reproductive Medicine and 7 papers in Biochemistry. Recurrent topics in Gerardo M. Oresti's work include Sperm and Testicular Function (9 papers), Sphingolipid Metabolism and Signaling (9 papers) and Lipid metabolism and biosynthesis (7 papers). Gerardo M. Oresti is often cited by papers focused on Sperm and Testicular Function (9 papers), Sphingolipid Metabolism and Signaling (9 papers) and Lipid metabolism and biosynthesis (7 papers). Gerardo M. Oresti collaborates with scholars based in Argentina, Chile and Spain. Gerardo M. Oresti's co-authors include Marta I. Aveldaño, Natalia E. Furland, Eduardo N. Maldonado, Silvia S. Antollini, Samanta Romina Zanetti, Andrés Venturino, Gabriela A. Salvador, Juan G. Reyes, Nelson Osses and Jesús del Mazo and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Gerardo M. Oresti

18 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerardo M. Oresti Argentina 12 229 150 83 70 54 20 421
Natalia E. Furland Argentina 11 194 0.8× 163 1.1× 99 1.2× 78 1.1× 50 0.9× 17 405
Mariaelena Gentile Italy 8 295 1.3× 407 2.7× 24 0.3× 216 3.1× 66 1.2× 8 773
Darrell W. Eubank United States 7 248 1.1× 117 0.8× 46 0.6× 54 0.8× 89 1.6× 8 518
Tsuneko Fujii Japan 10 295 1.3× 41 0.3× 83 1.0× 22 0.3× 42 0.8× 13 437
Jun Abe Japan 11 171 0.7× 32 0.2× 9 0.1× 23 0.3× 41 0.8× 31 475
H. Sharif Switzerland 11 155 0.7× 63 0.4× 37 0.4× 84 1.2× 77 1.4× 19 396
Bharati Kakkad United States 13 466 2.0× 13 0.1× 59 0.7× 17 0.2× 73 1.4× 14 594
Caroline Jacques France 12 396 1.7× 58 0.4× 11 0.1× 160 2.3× 78 1.4× 19 678
T Fekete Hungary 11 203 0.9× 35 0.2× 29 0.3× 14 0.2× 24 0.4× 17 405
Françoise Gasnier France 7 360 1.6× 43 0.3× 92 1.1× 20 0.3× 43 0.8× 11 526

Countries citing papers authored by Gerardo M. Oresti

Since Specialization
Citations

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

Fields of papers citing papers by Gerardo M. Oresti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerardo M. Oresti. 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 Gerardo M. Oresti. The network helps show where Gerardo M. Oresti may publish in the future.

Co-authorship network of co-authors of Gerardo M. Oresti

This figure shows the co-authorship network connecting the top 25 collaborators of Gerardo M. Oresti. A scholar is included among the top collaborators of Gerardo M. Oresti 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 Gerardo M. Oresti. Gerardo M. Oresti 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.
2.
Moreno, Ricardo D., et al.. (2024). Nonylphenol releases arachidonic acid in rat Sertoli cells via activation of PKA and PLA2. Reproduction. 168(1). 2 indexed citations
3.
Oresti, Gerardo M., et al.. (2024). Ionic liquids-based nanoemulsion for assisted by ultrasound liquid–liquid microextraction of UV-filters in water samples. Microchemical Journal. 204. 111007–111007. 1 indexed citations
4.
5.
Cabrera, Gabriel, et al.. (2022). Development of low-cost cage-like particles to formulate veterinary vaccines. Veterinary Immunology and Immunopathology. 251. 110460–110460. 4 indexed citations
6.
7.
Oresti, Gerardo M., et al.. (2019). High glucose-induced phospholipase D activity in retinal pigment epithelium cells: New insights into the molecular mechanisms of diabetic retinopathy. Experimental Eye Research. 184. 243–257. 29 indexed citations
8.
Furland, Natalia E., et al.. (2018). Elovl4 and Fa2h expression during rat spermatogenesis: a link to the very-long-chain PUFAs typical of germ cell sphingolipids[S]. Journal of Lipid Research. 59(7). 1175–1189. 18 indexed citations
9.
Mateos, Melina V., et al.. (2017). Sphingomyelins and ceramides with VLCPUFAs are excluded from low-density raft-like domains in differentiating spermatogenic cells. Journal of Lipid Research. 58(3). 529–542. 8 indexed citations
10.
Osses, Nelson, et al.. (2016). Effects of Fatty Acids on Intracellular [Ca2+], Mitochondrial Uncoupling and Apoptosis in Rat Pachytene Spermatocytes and Round Spermatids. PLoS ONE. 11(7). e0158518–e0158518. 13 indexed citations
11.
Oresti, Gerardo M., et al.. (2015). Dopaminergic Neurons Respond to Iron-Induced Oxidative Stress by Modulating Lipid Acylation and Deacylation Cycles. PLoS ONE. 10(6). e0130726–e0130726. 27 indexed citations
12.
Oresti, Gerardo M., et al.. (2015). Lipid Biochemical and Biophysical Changes in Rat Spermatozoa During Isolation and Functional Activation In Vitro1. Biology of Reproduction. 93(6). 140–140. 9 indexed citations
13.
Oresti, Gerardo M., Jesús García-López, Marta I. Aveldaño, & Jesús del Mazo. (2013). Cell-type-specific regulation of genes involved in testicular lipid metabolism: fatty acid-binding proteins, diacylglycerol acyltransferases, and perilipin 2. Reproduction. 146(5). 471–480. 29 indexed citations
14.
Oresti, Gerardo M., Fernando G. Dupuy, Silvia S. Antollini, et al.. (2013). Atypical surface behavior of ceramides with nonhydroxy and 2-hydroxy very long-chain (C28–C32) PUFAs. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1838(3). 731–738. 17 indexed citations
15.
Oresti, Gerardo M., et al.. (2011). Uneven Distribution of Ceramides, Sphingomyelins and Glycerophospholipids Between Heads and Tails of Rat Spermatozoa. Lipids. 46(12). 1081–1090. 34 indexed citations
16.
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Oresti, Gerardo M., et al.. (2010). Differentiation-related changes in lipid classes with long-chain and very long-chain polyenoic fatty acids in rat spermatogenic cells. Journal of Lipid Research. 51(10). 2909–2921. 49 indexed citations
18.
Oresti, Gerardo M., et al.. (2010). Sequential depletion of rat testicular lipids with long-chain and very long-chain polyenoic fatty acids after X-ray-induced interruption of spermatogenesis. Journal of Lipid Research. 51(9). 2600–2610. 17 indexed citations
19.
Furland, Natalia E., Gerardo M. Oresti, Silvia S. Antollini, et al.. (2007). Very Long-chain Polyunsaturated Fatty Acids Are the Major Acyl Groups of Sphingomyelins and Ceramides in the Head of Mammalian Spermatozoa. Journal of Biological Chemistry. 282(25). 18151–18161. 77 indexed citations
20.
Furland, Natalia E., Samanta Romina Zanetti, Gerardo M. Oresti, Eduardo N. Maldonado, & Marta I. Aveldaño. (2007). Ceramides and Sphingomyelins with High Proportions of Very Long-chain Polyunsaturated Fatty acids in Mammalian Germ Cells. Journal of Biological Chemistry. 282(25). 18141–18150. 71 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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