Nadia S. Chiaramoni

903 total citations
26 papers, 686 citations indexed

About

Nadia S. Chiaramoni is a scholar working on Molecular Biology, Food Science and Polymers and Plastics. According to data from OpenAlex, Nadia S. Chiaramoni has authored 26 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Food Science and 4 papers in Polymers and Plastics. Recurrent topics in Nadia S. Chiaramoni's work include RNA Interference and Gene Delivery (8 papers), Proteins in Food Systems (5 papers) and Dendrimers and Hyperbranched Polymers (4 papers). Nadia S. Chiaramoni is often cited by papers focused on RNA Interference and Gene Delivery (8 papers), Proteins in Food Systems (5 papers) and Dendrimers and Hyperbranched Polymers (4 papers). Nadia S. Chiaramoni collaborates with scholars based in Argentina, Spain and Brazil. Nadia S. Chiaramoni's co-authors include S. Alonso, Andrés L. Márquez, Jorge R. Wagner, María Jimena Prieto, Daniela E. Igartúa, Lucía Speroni, Carolina Martínez, María Natalia Calienni, Valeria Calabró and R. Arévalo and has published in prestigious journals such as PLoS ONE, Biophysical Journal and Journal of Pharmaceutical Sciences.

In The Last Decade

Nadia S. Chiaramoni

25 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadia S. Chiaramoni Argentina 15 254 177 131 95 80 26 686
D. Mihai France 14 147 0.6× 154 0.9× 152 1.2× 91 1.0× 83 1.0× 34 592
Daniela E. Igartúa Argentina 13 132 0.5× 107 0.6× 68 0.5× 64 0.7× 25 0.3× 28 501
Silke B. Lohan Germany 19 265 1.0× 87 0.5× 63 0.5× 233 2.5× 70 0.9× 54 1.1k
Kåre A. Kristiansen Norway 17 297 1.2× 118 0.7× 275 2.1× 56 0.6× 96 1.2× 26 980
Clara Barba Spain 21 174 0.7× 110 0.6× 112 0.9× 267 2.8× 82 1.0× 44 974
Jyothsna Manikkath India 13 213 0.8× 67 0.4× 101 0.8× 270 2.8× 33 0.4× 28 788
Fadime Aydın Köse Türkiye 15 248 1.0× 118 0.7× 53 0.4× 62 0.7× 102 1.3× 45 684
Masoumeh Eslamifar Iran 6 179 0.7× 59 0.3× 90 0.7× 66 0.7× 35 0.4× 19 611
Qiling Chen China 10 217 0.9× 72 0.4× 211 1.6× 30 0.3× 51 0.6× 31 670
Elizabeth García-García Mexico 9 192 0.8× 103 0.6× 223 1.7× 153 1.6× 25 0.3× 11 625

Countries citing papers authored by Nadia S. Chiaramoni

Since Specialization
Citations

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

Fields of papers citing papers by Nadia S. Chiaramoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadia S. Chiaramoni. 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 Nadia S. Chiaramoni. The network helps show where Nadia S. Chiaramoni may publish in the future.

Co-authorship network of co-authors of Nadia S. Chiaramoni

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia S. Chiaramoni. A scholar is included among the top collaborators of Nadia S. Chiaramoni 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 Nadia S. Chiaramoni. Nadia S. Chiaramoni 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.
Igartúa, Daniela E., Florencia González‐Lizárraga, Carolina Martínez, et al.. (2023). PAMAM dendrimers of generation 4.5 loaded with curcumin interfere with α-synuclein aggregation. OpenNano. 11. 100140–100140. 8 indexed citations
3.
Alonso, S., et al.. (2020). Lipopolymers and lipids from lung surfactants in association with N-acetyl-l-cysteine: Characterization and cytotoxicity. Chemistry and Physics of Lipids. 231. 104936–104936. 5 indexed citations
4.
Igartúa, Daniela E., Carolina Martínez, S. Alonso, Nadia S. Chiaramoni, & María Jimena Prieto. (2020). Toxicity assessment of free and dendrimer-complexed curcumin in zebrafish larvae. PharmaNutrition. 13. 100201–100201. 7 indexed citations
5.
Martínez, Carolina, et al.. (2018). In vivo study of teratogenic and anticonvulsant effects of antiepileptics drugs in zebrafish embryo and larvae. Neurotoxicology and Teratology. 66. 17–24. 36 indexed citations
6.
Martínez, Carolina, Daniela E. Igartúa, María Natalia Calienni, et al.. (2017). Relation between biophysical properties of nanostructures and their toxicity on zebrafish. Biophysical Reviews. 9(5). 775–791. 20 indexed citations
7.
Calienni, María Natalia, et al.. (2017). Nanotoxicological and teratogenic effects: A linkage between dendrimer surface charge and zebrafish developmental stages. Toxicology and Applied Pharmacology. 337. 1–11. 27 indexed citations
8.
Bandeira, Elga, Miquéias Lopes‐Pacheco, Nadia S. Chiaramoni, et al.. (2016). Association with Amino Acids Does Not Enhance Efficacy of Polymerized Liposomes As a System for Lung Gene Delivery. Frontiers in Physiology. 7. 151–151. 6 indexed citations
9.
Calabró, Valeria, et al.. (2015). Fortification of chocolate milk with omega‐3, omega‐6, and vitamins E and C by using liposomes. European Journal of Lipid Science and Technology. 118(9). 1271–1281. 32 indexed citations
10.
Piotrkowski, Bárbara, et al.. (2015). Bioactive constituents in liposomes incorporated in orange juice as new functional food: thermal stability, rheological and organoleptic properties. Journal of Food Science and Technology. 52(12). 7828–7838. 26 indexed citations
11.
Igartúa, Daniela E., et al.. (2015). Development of Nutraceutical Emulsions as Risperidone Delivery Systems: Characterization and Toxicological Studies. Journal of Pharmaceutical Sciences. 104(12). 4142–4152. 23 indexed citations
12.
Prieto, María Jimena, et al.. (2014). Optimization and In Vivo Toxicity Evaluation of G4.5 Pamam Dendrimer-Risperidone Complexes. PLoS ONE. 9(2). e90393–e90393. 39 indexed citations
13.
Speroni, Lucía, et al.. (2010). Relationship between the adjuvant and cytotoxic effects of the positive charges and polymerization in liposomes. Journal of Liposome Research. 21(2). 124–133. 12 indexed citations
14.
Chiaramoni, Nadia S., et al.. (2009). Biodistribution of liposome/DNA systems after subcutaneous and intraperitoneal inoculation. Journal of Liposome Research. 20(3). 191–201. 16 indexed citations
15.
Speroni, Lucía, et al.. (2009). Alternative site of implantation affects tumor malignancy and metastatic potential in mice: Its comparison to the flank model. Cancer Biology & Therapy. 8(4). 375–379. 4 indexed citations
16.
Speroni, Lucía, et al.. (2009). Antitumoral effect of IL-12 gene transfected via liposomes into B16F0 cells.. Acta Biochimica Polonica. 56(2). 249–53. 7 indexed citations
17.
Chiaramoni, Nadia S., et al.. (2008). Liposome/DNA Systems: Correlation Between Hydrophobicity and DNA Conformational Changes. Journal of Biological Physics. 34(1-2). 179–188. 9 indexed citations
18.
Chiaramoni, Nadia S., et al.. (2007). Liposome/DNA systems: correlation between association, hydrophobicity and cell viability. Biotechnology Letters. 29(11). 1637–1644. 20 indexed citations
19.
Chiaramoni, Nadia S., et al.. (2004). Stability of Liposomal Formulations in Physiological Conditions for Oral Drug Delivery. Drug Delivery. 11(2). 123–128. 103 indexed citations
20.
Alonso, S., et al.. (2003). Characterization of diacetylenic liposomes as carriers for oral vaccines. Chemistry and Physics of Lipids. 122(1-2). 191–203. 42 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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