Luciano Caseli

4.5k total citations · 1 hit paper
170 papers, 3.6k citations indexed

About

Luciano Caseli is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Luciano Caseli has authored 170 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Molecular Biology, 47 papers in Electrical and Electronic Engineering and 32 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Luciano Caseli's work include Lipid Membrane Structure and Behavior (107 papers), Electrochemical sensors and biosensors (31 papers) and Spectroscopy and Quantum Chemical Studies (19 papers). Luciano Caseli is often cited by papers focused on Lipid Membrane Structure and Behavior (107 papers), Electrochemical sensors and biosensors (31 papers) and Spectroscopy and Quantum Chemical Studies (19 papers). Luciano Caseli collaborates with scholars based in Brazil, United States and Canada. Luciano Caseli's co-authors include Osvaldo N. Oliveira, Felippe J. Pavinatto, Maria Elisabete Darbello Zaniquelli, Thatyane M. Nobre, Katsuhiko Ariga, José R. Siqueira, Frank N. Crespilho, Valtencir Zucolotto, Laura O. Péres and Francisco A. Leone and has published in prestigious journals such as Chemical Reviews, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Luciano Caseli

164 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Past and the Future of Langmuir and Langmuir–Blodgett Films

2022 291 citations Osvaldo N. Oliveira, Luciano Caseli et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luciano Caseli Brazil	32	2.0k	949	646	558	445	170	3.6k
Kenichi Morigaki Japan	31	1.5k 0.7×	1.1k 1.1×	596 0.9×	451 0.8×	308 0.7×	102	3.4k
Fausto Sanz Spain	37	1.6k 0.8×	1.1k 1.2×	775 1.2×	843 1.5×	1.2k 2.8×	103	3.7k
Lisandra L. Martin Australia	36	1.8k 0.9×	594 0.6×	407 0.6×	638 1.1×	145 0.3×	194	4.2k
Lasse Murtomäki Finland	29	671 0.3×	737 0.8×	695 1.1×	355 0.6×	236 0.5×	121	3.0k
Andrew D. Abell Australia	37	2.4k 1.2×	789 0.8×	560 0.9×	1.3k 2.4×	404 0.9×	326	5.8k
Tibor Hianik Slovakia	36	3.9k 1.9×	1.6k 1.7×	1.9k 2.9×	403 0.7×	332 0.7×	273	5.3k
Hadley D. Sikes United States	28	1.0k 0.5×	637 0.7×	797 1.2×	464 0.8×	198 0.4×	83	2.4k
Aldrik H. Velders Netherlands	36	937 0.5×	612 0.6×	1.1k 1.7×	1.3k 2.4×	250 0.6×	151	4.7k
Michèle Salmain France	37	1.9k 0.9×	715 0.8×	1.1k 1.8×	830 1.5×	132 0.3×	165	4.3k
Yong Shao China	35	1.6k 0.8×	1.1k 1.2×	619 1.0×	1.4k 2.6×	224 0.5×	177	4.1k

Countries citing papers authored by Luciano Caseli

Since Specialization

Citations

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

Fields of papers citing papers by Luciano Caseli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luciano Caseli

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

All Works

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20 of 20 papers shown

Giordani, Cristiano, et al.. (2024). Langmuir monolayers provide an effective strategy for studying molecular recognition of nucleobases using alkylated nucleotides. Colloids and Surfaces B Biointerfaces. 244. 114129–114129.

Lago, João Henrique G., et al.. (2024). Interaction of sakuranetin with unsaturated lipids forming Langmuir monolayers at the air-water interface: A biomembrane model. Colloids and Surfaces B Biointerfaces. 234. 113747–113747. 2 indexed citations

Salvo‐Comino, Coral, et al.. (2024). Enhancing biosensor capabilities through laccase immobilization in nanostructured Langmuir-Blodgett films for phenol detection. SHILAP Revista de lepidopterología. 18. 100366–100366. 2 indexed citations

Siqueira, José R., et al.. (2024). Using Carbon Nanotubes to Improve Enzyme Activity and Electroactivity of Fatty Acid Langmuir–Blodgett Film-Incorporated Galactose Oxidase for Sensing and Energy Storage Applications. ACS Applied Materials & Interfaces. 17(9). 13018–13028. 5 indexed citations

Oliveira, Samuel L., et al.. (2023). Effect of partial O-methylation in dehydrodieugenol on its antitrypanosomal activity - correlation with the toxicity using cell membrane models. Biophysical Chemistry. 296. 106975–106975. 1 indexed citations

Lago, João Henrique G., et al.. (2023). Ethanolamine phospholipids at the air-water interface as cell membranes models of microorganisms to study the nanotoxicology of sakuranetin. Thin Solid Films. 770. 139768–139768. 2 indexed citations

Siqueira, José R., et al.. (2023). Exploring Langmuir-Blodgett films with phospholipid-graphene oxide/MnO2 as a hybrid nanostructured interface for supercapacitor applications. Colloids and Surfaces A Physicochemical and Engineering Aspects. 664. 131128–131128. 11 indexed citations

Lago, João Henrique G., et al.. (2022). Incorporation of dehydrodieugenol, a neolignan isolated from Nectandra leucantha (Lauraceae), in lipid Langmuir monolayers as biomembrane models. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1864(11). 184035–184035. 4 indexed citations

Caseli, Luciano, et al.. (2021). A bactericide peptide changing the static and dilatational surface elasticity properties of zwitterionic lipids at the air-water interface: Relationship with the thermodynamic, structural and morphological properties. Biophysical Chemistry. 277. 106638–106638. 8 indexed citations

10.

Lara, Lucas Stori de, Sérgio Ricardo de Lázaro, Alexandre Camilo, et al.. (2020). The antibacterial activity of p-tert-butylcalix[6]arene and its effect on a membrane model: molecular dynamics and Langmuir film studies. Physical Chemistry Chemical Physics. 22(11). 6154–6166. 10 indexed citations

11.

Caseli, Luciano, et al.. (2020). Thermodynamic and Morphological Properties of Trastuzumab Regulated by the Lipid Composition of Cell Membrane Models at the Air-Water Interface. Biophysical Journal. 118(3). 77a–77a. 3 indexed citations

12.

Straus, Anita H., et al.. (2019). Interaction of Trastuzumab with biomembrane models at air-water interfaces mimicking cancer cell surfaces. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1861(10). 182992–182992. 12 indexed citations

13.

Rodríguez, J.L. Fidalgo, Luciano Caseli, J. Miñones, & Patrycja Dynarowicz-Ła̧tka. (2019). New look for an old molecule – Solid/solid phase transition in cholesterol monolayers. Chemistry and Physics of Lipids. 225. 104819–104819. 26 indexed citations

14.

Caseli, Luciano, et al.. (2017). Physical Chemical Properties of Silver Nanoparticles Stabilized with Polyether-Block-Amide Interacting with Cellular Membrane Models at the Air-Water Interface. Biophysical Journal. 112(3). 376a–376a. 3 indexed citations

15.

Caseli, Luciano, et al.. (2016). Adsorption and enzyme activity of asparaginase at lipid Langmuir and Langmuir-Blodgett films. Materials Science and Engineering C. 73. 579–584. 29 indexed citations

16.

Pavinatto, Felippe J., et al.. (2013). Langmuir films containing ibuprofen and phospholipids. Chemical Physics Letters. 559. 99–106. 59 indexed citations

17.

Caseli, Luciano, Renan P. Cavalheiro, Helena B. Nader, & Carla Cristina Lopes. (2012). Probing the interaction between heparan sulfate proteoglycan with biologically relevant molecules in mimetic models for cell membranes: A Langmuir film study. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(5). 1211–1217. 12 indexed citations

18.

Oliveira, Osvaldo N., et al.. (2011). Immbolization of uricase enzyme in Langmuir and Langmuir-Blodgett films of fatty acids: Possible use as a uric acid sensor. Journal of Colloid and Interface Science. 373(1). 69–74. 50 indexed citations

19.

Balogh, Débora Terezia, Luciano Caseli, Marcos Roberto Cardoso, et al.. (2010). Molecular-level interactions of an azopolymer and poly(dodecylmethacrylate) in mixed Langmuir and Langmuir–Blodgett films for optical storage. Journal of Colloid and Interface Science. 346(1). 87–95. 12 indexed citations

20.

Pavinatto, Felippe J., Luciano Caseli, Thatyane M. Nobre, et al.. (2009). The interaction of an antiparasitic peptide active against African Sleeping Sickness with cell membrane models. Colloids and Surfaces B Biointerfaces. 74(2). 504–510. 33 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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