Daniel Pando

785 total citations
11 papers, 616 citations indexed

About

Daniel Pando is a scholar working on Pharmaceutical Science, Insect Science and Food Science. According to data from OpenAlex, Daniel Pando has authored 11 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmaceutical Science, 5 papers in Insect Science and 3 papers in Food Science. Recurrent topics in Daniel Pando's work include Advancements in Transdermal Drug Delivery (7 papers), Bee Products Chemical Analysis (5 papers) and Microencapsulation and Drying Processes (2 papers). Daniel Pando is often cited by papers focused on Advancements in Transdermal Drug Delivery (7 papers), Bee Products Chemical Analysis (5 papers) and Microencapsulation and Drying Processes (2 papers). Daniel Pando collaborates with scholars based in Spain, Italy and Switzerland. Daniel Pando's co-authors include Carmen Pazos, Gemma Gutiérrez, María Matos, Carla Caddeo, Anna Maria Fadda, Maria Manconi, José Coca, Ines Castangia, María Letizia Manca and Sandrina Lampis and has published in prestigious journals such as Food Chemistry, Journal of Food Engineering and Meat Science.

In The Last Decade

Daniel Pando

11 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Pando Spain 11 275 201 136 105 82 11 616
Seyyed Sohrab Rostamkalaei Iran 11 286 1.0× 103 0.5× 130 1.0× 58 0.6× 89 1.1× 17 513
Hamidreza Kelidari Iran 15 267 1.0× 212 1.1× 106 0.8× 92 0.9× 92 1.1× 27 663
Kiran Avadhani India 9 179 0.7× 61 0.3× 135 1.0× 65 0.6× 93 1.1× 11 572
Hagen Trommer Germany 7 379 1.4× 151 0.8× 109 0.8× 106 1.0× 236 2.9× 10 641
Dina Mostafa Egypt 16 223 0.8× 173 0.9× 83 0.6× 65 0.6× 43 0.5× 32 685
Ivana Pantelić Serbia 14 270 1.0× 182 0.9× 97 0.7× 111 1.1× 146 1.8× 40 722
Francisco Fernández-Campos Spain 14 395 1.4× 127 0.6× 90 0.7× 50 0.5× 134 1.6× 39 721
Khalil Mitri Italy 5 276 1.0× 201 1.0× 125 0.9× 78 0.7× 68 0.8× 7 597
Philip F. Builders Nigeria 18 374 1.4× 366 1.8× 125 0.9× 33 0.3× 52 0.6× 39 968
Syed Nisar Hussain Shah Pakistan 16 229 0.8× 113 0.6× 113 0.8× 38 0.4× 53 0.6× 75 727

Countries citing papers authored by Daniel Pando

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Pando

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

All Works

11 of 11 papers shown
1.
Pando, Daniel, et al.. (2022). Novel magnetic beads with improved performance for Alzheimer’s disease biomarker detection. Microchemical Journal. 175. 107211–107211. 14 indexed citations
2.
Fernández, Lucía, Diana Gutiérrez, Daniel Pando, et al.. (2018). Strategies to Encapsulate the Staphylococcus aureus Bacteriophage phiIPLA-RODI. Viruses. 10(9). 495–495. 35 indexed citations
3.
Ojha, K. Shikha, et al.. (2017). Ultrasonic-assisted incorporation of nano-encapsulated omega-3 fatty acids to enhance the fatty acid profile of pork meat. Meat Science. 132. 99–106. 19 indexed citations
4.
Gutiérrez, Gemma, et al.. (2016). Iron-entrapped niosomes and their potential application for yogurt fortification. LWT. 74. 550–556. 52 indexed citations
5.
Castangia, Ines, María Letizia Manca, Carla Caddeo, et al.. (2015). Faceted phospholipid vesicles tailored for the delivery of Santolina insularis essential oil to the skin. Colloids and Surfaces B Biointerfaces. 132. 185–193. 36 indexed citations
6.
Pando, Daniel, María Matos, Gemma Gutiérrez, & Carmen Pazos. (2015). Formulation of resveratrol entrapped niosomes for topical use. Colloids and Surfaces B Biointerfaces. 128. 398–404. 88 indexed citations
7.
Pando, Daniel, et al.. (2015). Optimization of a membrane hybrid process for oil-in-water emulsions treatment using Taguchi experimental design. Desalination and Water Treatment. 57(11). 4832–4841. 18 indexed citations
8.
Manca, María Letizia, Ines Castangia, Carla Caddeo, et al.. (2014). Improvement of quercetin protective effect against oxidative stress skin damages by incorporation in nanovesicles. Colloids and Surfaces B Biointerfaces. 123. 566–574. 110 indexed citations
9.
Pando, Daniel, et al.. (2014). Resveratrol entrapped niosomes as yoghurt additive. Food Chemistry. 170. 281–287. 74 indexed citations
10.
Pando, Daniel, Carla Caddeo, Maria Manconi, Anna Maria Fadda, & Carmen Pazos. (2013). Nanodesign of olein vesicles for the topical delivery of the antioxidant resveratrol. Journal of Pharmacy and Pharmacology. 65(8). 1158–1167. 68 indexed citations
11.
Pando, Daniel, Gemma Gutiérrez, José Coca, & Carmen Pazos. (2013). Preparation and characterization of niosomes containing resveratrol. Journal of Food Engineering. 117(2). 227–234. 102 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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