Carlos von Plessing

446 total citations
20 papers, 383 citations indexed

About

Carlos von Plessing is a scholar working on Biomaterials, Food Science and Pharmaceutical Science. According to data from OpenAlex, Carlos von Plessing has authored 20 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomaterials, 6 papers in Food Science and 5 papers in Pharmaceutical Science. Recurrent topics in Carlos von Plessing's work include Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Spectroscopy and Chemometric Analyses (5 papers) and Nanocomposite Films for Food Packaging (4 papers). Carlos von Plessing is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Spectroscopy and Chemometric Analyses (5 papers) and Nanocomposite Films for Food Packaging (4 papers). Carlos von Plessing collaborates with scholars based in Chile, France and Germany. Carlos von Plessing's co-authors include Apolinaria García, Galo Cárdenas, Carlos Fuentes Rojas, Luis E. Hernández, Marcos Fernández, Katherina Fernández, Estrella Aspé, Rodrigo Del Río, Rosario del P. Castillo and Marc Schneider and has published in prestigious journals such as Food Chemistry, Journal of Controlled Release and Journal of Pharmaceutical Sciences.

In The Last Decade

Carlos von Plessing

20 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos von Plessing Chile 9 105 84 80 54 50 20 383
Gladys E. Granero Argentina 10 46 0.4× 84 1.0× 120 1.5× 40 0.7× 66 1.3× 25 402
Alessandra Lifsitch Viçosa Brazil 12 48 0.5× 54 0.6× 113 1.4× 86 1.6× 52 1.0× 28 426
Flávia Almada do Carmo Brazil 15 76 0.7× 69 0.8× 159 2.0× 51 0.9× 86 1.7× 44 478
Ana Paula dos Santos Matos Brazil 12 74 0.7× 54 0.6× 64 0.8× 91 1.7× 61 1.2× 34 364
Maria Betânia de Freitas Marques Brazil 11 49 0.5× 83 1.0× 76 0.9× 68 1.3× 58 1.2× 35 373
Danilo Augusto Ferreira Fontes Brazil 9 46 0.4× 133 1.6× 107 1.3× 42 0.8× 65 1.3× 15 382
Richard Perosa Fernandes Brazil 11 77 0.7× 122 1.5× 80 1.0× 47 0.9× 128 2.6× 25 494
Khalid Ahmed Pakistan 13 66 0.6× 92 1.1× 36 0.5× 59 1.1× 122 2.4× 47 478
Anne Bee Hegge Norway 12 70 0.7× 80 1.0× 173 2.2× 143 2.6× 84 1.7× 16 576
Luiz Cláudio Rodrigues Pereira da Silva Brazil 15 69 0.7× 61 0.7× 87 1.1× 41 0.8× 90 1.8× 30 468

Countries citing papers authored by Carlos von Plessing

Since Specialization
Citations

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

Fields of papers citing papers by Carlos von Plessing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos von Plessing. 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 Carlos von Plessing. The network helps show where Carlos von Plessing may publish in the future.

Co-authorship network of co-authors of Carlos von Plessing

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos von Plessing. A scholar is included among the top collaborators of Carlos von Plessing 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 Carlos von Plessing. Carlos von Plessing 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.
Cabello, G., et al.. (2024). Multifunctional nano-in-microparticles for targeted lung cancer cells: Synthesis, characterization and efficacy assessment. Materials Today Chemistry. 38. 102072–102072. 5 indexed citations
2.
Castillo, Rosario del P., et al.. (2022). Distributional homogeneity and penetration depth assessment of antibiotic added by surface coating to pellets with mid Infrared imaging and multivariate curve resolution. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 271. 120864–120864. 1 indexed citations
5.
Meléndrez, Manuel, et al.. (2020). Raman microimaging as an analytical technique for simultaneous quantification and localization of active principles in pharmaceutical solid dosage forms. Journal of Raman Spectroscopy. 51(4). 649–659. 6 indexed citations
7.
Plessing, Carlos von, et al.. (2018). Evaluation of the microscopic distribution of florfenicol in feed pellets for salmon by Fourier Transform infrared imaging and multivariate analysis. Journal of Pharmaceutical and Biomedical Analysis. 152. 257–263. 5 indexed citations
8.
Plessing, Carlos von, et al.. (2018). MICROENCAPSULATION OF OXOLINIC ACID WITH CHITOSAN BEADS. Journal of the Chilean Chemical Society. 63(4). 4229–4238. 4 indexed citations
9.
Fernández, Katherina, et al.. (2016). Factorial design optimization and characterization of poly-lactic acid (PLA) nanoparticle formation for the delivery of grape extracts. Food Chemistry. 207. 75–85. 34 indexed citations
10.
Torres‐Vergara, Pablo, et al.. (2015). Capreomycin oleate microparticles for intramuscular administration: Preparation, in vitro release and preliminary in vivo evaluation. Journal of Controlled Release. 209. 229–237. 14 indexed citations
11.
Plessing, Carlos von, et al.. (2013). Development of biodegradable methylprednisolone microparticles for treatment of articular pathology using a spray-drying technique. International Journal of Nanomedicine. 8. 2065–2065. 16 indexed citations
12.
García, Apolinaria, et al.. (2012). Study on antibacterial alginate-stabilized copper nanoparticles by FT-IR and 2D-IR correlation spectroscopy. International Journal of Nanomedicine. 7. 3597–3597. 107 indexed citations
13.
Mendoza‐Muñoz, Néstor, et al.. (2011). FORMULATION AND CHARACTERIZATION OF INCLUSION COMPLEXES USING HYDROXYPROPYL-β-CYCLODEXTRIN AND FLORFENICOL WITH CHITOSAN MICROPARTICLES. Journal of the Chilean Chemical Society. 56(1). 574–578. 10 indexed citations
14.
Cárdenas, Galo, et al.. (2010). SCANNING ELECTRON MICROSCOPY AND ATOMIC FORCE MICROSCOPY OF CHITOSAN COMPOSITE FILMS. Journal of the Chilean Chemical Society. 55(3). 352–354. 17 indexed citations
15.
Carrasco, Josep L., et al.. (2008). Evaluating average bioequivalence using methods for high variability drugs: A case study. International Journal of Clinical Pharmacology and Therapeutics. 46(10). 527–537. 1 indexed citations
16.
Cárdenas, Galo, et al.. (2007). Chitosan composite films. Biomedical applications. Journal of Materials Science Materials in Medicine. 19(6). 2397–2405. 60 indexed citations
17.
Fernández, Marcos, Carlos von Plessing, & Galo Cárdenas. (2006). PREPARATION AND CHARACTERIZATION OFCHITOSAN GELS. Journal of the Chilean Chemical Society. 51(4). 4 indexed citations
18.
Fernández, Marcos, et al.. (2003). Technique validation by liquid chromatography for the determination of acyclovir in plasma. Journal of Chromatography B. 791(1-2). 357–363. 35 indexed citations
19.
Hernández, Luis E., et al.. (2002). Preliminary Pharmacokinetic Study of Different Preparations of Acyclovir with β-Cyclodextrin. Journal of Pharmaceutical Sciences. 91(12). 2593–2598. 54 indexed citations
20.
Plessing, Carlos von. (1964). Diaziridin‐Synthese aus Hydrazo‐dicarbonyl‐Verbindungen. Archiv der Pharmazie. 297(4). 240–243. 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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