Mónica Pickholz

1.4k total citations
52 papers, 833 citations indexed

About

Mónica Pickholz is a scholar working on Molecular Biology, Organic Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Mónica Pickholz has authored 52 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 17 papers in Organic Chemistry and 13 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Mónica Pickholz's work include Lipid Membrane Structure and Behavior (21 papers), Spectroscopy and Quantum Chemical Studies (11 papers) and Surfactants and Colloidal Systems (10 papers). Mónica Pickholz is often cited by papers focused on Lipid Membrane Structure and Behavior (21 papers), Spectroscopy and Quantum Chemical Studies (11 papers) and Surfactants and Colloidal Systems (10 papers). Mónica Pickholz collaborates with scholars based in Argentina, Brazil and United States. Mónica Pickholz's co-authors include María Cristina dos Santos, F. Alvarez, M. Florencia Martini, Eneida de Paula, Munir S. Skaf, Osvaldo N. Oliveira, Michael L. Klein, Leonor Saiz, S. Stafström and Leonardo Fernandes Fraceto and has published in prestigious journals such as The Journal of Chemical Physics, Physical review. B, Condensed matter and The Journal of Physical Chemistry B.

In The Last Decade

Mónica Pickholz

51 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mónica Pickholz Argentina 16 328 297 230 141 111 52 833
Seifollah Jalili Iran 17 159 0.5× 564 1.9× 223 1.0× 202 1.4× 162 1.5× 90 989
J. M. Turlet France 14 204 0.6× 222 0.7× 260 1.1× 104 0.7× 358 3.2× 30 825
Ying Fu China 22 231 0.7× 470 1.6× 300 1.3× 33 0.2× 104 0.9× 100 1.3k
Bob Berno Canada 18 528 1.6× 139 0.5× 58 0.3× 81 0.6× 86 0.8× 26 985
Bart Ruttens Belgium 19 278 0.8× 430 1.4× 756 3.3× 194 1.4× 57 0.5× 52 1.3k
Sander Gaemers Netherlands 14 270 0.8× 241 0.8× 77 0.3× 150 1.1× 76 0.7× 23 765
Matthias Roos Germany 19 219 0.7× 226 0.8× 238 1.0× 47 0.3× 154 1.4× 27 868
Sungsool Wi United States 22 397 1.2× 548 1.8× 152 0.7× 167 1.2× 112 1.0× 61 1.5k
Keith J. Fritzsching United States 14 247 0.8× 344 1.2× 103 0.4× 132 0.9× 28 0.3× 29 951

Countries citing papers authored by Mónica Pickholz

Since Specialization
Citations

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

Fields of papers citing papers by Mónica Pickholz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mónica Pickholz

This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Pickholz. A scholar is included among the top collaborators of Mónica Pickholz 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 Mónica Pickholz. Mónica Pickholz 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.
Grillo, Damián, et al.. (2023). Molecular dynamics study of the mechanical properties of drug loaded model systems: A comparison of a polymersome with a bilayer. The Journal of Chemical Physics. 159(17). 1 indexed citations
3.
Malfanti, Alessio, Uku Haljasorg, Eliana K. Asciutto, et al.. (2022). Depletion of Mannose Receptor–Positive Tumor-associated Macrophages via a Peptide-targeted Star-shaped Polyglutamate Inhibits Breast Cancer Progression in Mice. Cancer Research Communications. 2(6). 533–551. 15 indexed citations
4.
5.
Prates, Érica T., et al.. (2020). Articaine interaction with phospholipid bilayers. Journal of Molecular Structure. 1222. 128854–128854. 6 indexed citations
6.
Grillo, Damián, et al.. (2019). Study of the Lamellar and Micellar Phases of Pluronic F127: A Molecular Dynamics Approach. Processes. 7(9). 606–606. 5 indexed citations
7.
Fabián, Lucas, et al.. (2019). Combining nuclear magnetic resonance with molecular dynamics simulations to address sumatriptan interaction with model membranes. Chemistry and Physics of Lipids. 225. 104792–104792. 2 indexed citations
8.
Facelli, Julio C., et al.. (2019). Magnesium interactions with a CX26 connexon in lipid bilayers. Journal of Molecular Modeling. 25(8). 232–232. 2 indexed citations
9.
Fernández, M. Laura, et al.. (2019). The Effects of Calcium on Lipid–Protein Interactions and Ion Flux in the Cx26 Connexon Embedded into a POPC Bilayer. The Journal of Membrane Biology. 252(4-5). 451–464. 2 indexed citations
10.
Ambroggio, Ernesto E., A.A. Hugo, M. Florencia Martini, et al.. (2019). Differential activity of lytic α-helical peptides on lactobacilli and lactobacilli-derived liposomes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1861(6). 1069–1077. 6 indexed citations
11.
Facelli, Julio C., et al.. (2018). Calcium interactions with Cx26 hemmichannel: Spatial association between MD simulations biding sites and variant pathogenicity. Computational Biology and Chemistry. 77. 331–342. 9 indexed citations
12.
Ribeiro, Lígia Nunes de Morais, Verônica Muniz Couto, Gustavo H. Rodrigues da Silva, et al.. (2018). Rational design of polymer-lipid nanoparticles for docetaxel delivery. Colloids and Surfaces B Biointerfaces. 175. 56–64. 34 indexed citations
13.
Martini, M. Florencia, et al.. (2018). A coarse-grained approach to studying the interactions of the antimicrobial peptides aurein 1.2 and maculatin 1.1 with POPG/POPE lipid mixtures. Journal of Molecular Modeling. 24(8). 208–208. 12 indexed citations
14.
Martini, M. Florencia, Mónica Pickholz, Fabiano Yokaichiya, et al.. (2015). Clonidine complexation with hydroxypropyl-beta-cyclodextrin: From physico-chemical characterization to in vivo adjuvant effect in local anesthesia. Journal of Pharmaceutical and Biomedical Analysis. 119. 27–36. 19 indexed citations
15.
Pickholz, Mónica, et al.. (2014). Triptan partition in model membranes. Journal of Molecular Modeling. 20(10). 2463–2463. 4 indexed citations
16.
Martini, M. Florencia, et al.. (2013). Similarities and differences of serotonin and its precursors in their interactions with model membranes studied by molecular dynamics simulation. Journal of Molecular Structure. 1045. 124–130. 18 indexed citations
17.
Pickholz, Mónica, Leonardo Fernandes Fraceto, & Eneida de Paula. (2009). Preferential location of prilocaine and etidocaine in phospholipid bilayers: A molecular dynamics study. Synthetic Metals. 159(21-22). 2157–2158. 7 indexed citations
18.
Pickholz, Mónica, Osvaldo N. Oliveira, & Munir S. Skaf. (2006). Interactions of chlorpromazine with phospholipid monolayers: Effects of the ionization state of the drug. Biophysical Chemistry. 125(2-3). 425–434. 41 indexed citations
19.
Crispin, Xavier, et al.. (2004). The role of intermolecular polarization for the stability of lithium intercalation compounds of α- and β-perylene. The Journal of Chemical Physics. 121(5). 2239–2245. 7 indexed citations
20.
Pickholz, Mónica, et al.. (1996). Lennard-Jones potential model for the condensed phases ofC70. Physical review. B, Condensed matter. 53(5). 2159–2162. 8 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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