David Millan-Sango

542 total citations
9 papers, 432 citations indexed

About

David Millan-Sango is a scholar working on Biotechnology, Food Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, David Millan-Sango has authored 9 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biotechnology, 3 papers in Food Science and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in David Millan-Sango's work include Microbial Inactivation Methods (6 papers), Listeria monocytogenes in Food Safety (6 papers) and Mercury impact and mitigation studies (2 papers). David Millan-Sango is often cited by papers focused on Microbial Inactivation Methods (6 papers), Listeria monocytogenes in Food Safety (6 papers) and Mercury impact and mitigation studies (2 papers). David Millan-Sango collaborates with scholars based in Malta, Belgium and Australia. David Millan-Sango's co-authors include Vasilis Valdramidis, Jan Van Impe, Claude Farrugia, Patrick J. Cullen, Paula Bourke, Luís Miguel Cunha, Dana Ziuzina, Josette Camilleri, Lu Han and Cher Farrugia and has published in prestigious journals such as Frontiers in Microbiology, Food Research International and Journal of Food Engineering.

In The Last Decade

David Millan-Sango

9 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Millan-Sango Malta	9	265	167	71	62	51	9	432
Montserrat González-Raurich Spain	11	99 0.4×	101 0.6×	100 1.4×	38 0.6×	42 0.8×	18	392
Cindy Smet Belgium	19	330 1.2×	220 1.3×	255 3.6×	71 1.1×	50 1.0×	32	793
M. Shimoda Japan	14	286 1.1×	131 0.8×	64 0.9×	74 1.2×	60 1.2×	19	487
Felix Schottroff Austria	13	317 1.2×	206 1.2×	30 0.4×	71 1.1×	39 0.8×	24	500
Márcia Cristina Silva Brazil	15	188 0.7×	355 2.1×	16 0.2×	40 0.6×	131 2.6×	30	591
Won‐Jae Song South Korea	13	304 1.1×	232 1.4×	81 1.1×	51 0.8×	23 0.5×	22	464
Ana Yndira Ramos-Villarroel Venezuela	10	263 1.0×	176 1.1×	25 0.4×	50 0.8×	22 0.4×	18	407
Xiaoting Xuan China	9	218 0.8×	149 0.9×	27 0.4×	134 2.2×	133 2.6×	24	468
Simone Pereira Mathias Brazil	8	157 0.6×	249 1.5×	122 1.7×	46 0.7×	161 3.2×	13	518
Barun Yadav Canada	9	195 0.7×	132 0.8×	296 4.2×	54 0.9×	59 1.2×	11	549

Countries citing papers authored by David Millan-Sango

Since Specialization

Citations

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

Fields of papers citing papers by David Millan-Sango

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Millan-Sango. 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 David Millan-Sango. The network helps show where David Millan-Sango may publish in the future.

Co-authorship network of co-authors of David Millan-Sango

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

All Works

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9 of 9 papers shown

Millan-Sango, David, et al.. (2019). Impact of ultrasound decontamination on the microbial and sensory quality of fresh produce. Food Control. 104. 262–268. 29 indexed citations

Han, Lu, Dana Ziuzina, Daniela Boehm, et al.. (2016). Controlling Microbial Safety Challenges of Meat Using High Voltage Atmospheric Cold Plasma. Frontiers in Microbiology. 7. 977–977. 50 indexed citations

Millan-Sango, David, et al.. (2016). Treatment of fresh produce water effluents by non-thermal technologies. Journal of Food Engineering. 199. 77–81. 13 indexed citations

Farrugia, Cher, et al.. (2016). Effectiveness of Disinfectants on Antimicrobial and Physical Properties of Dental Impression Materials. The International Journal of Prosthodontics. 29(1). 63–67. 40 indexed citations

Millan-Sango, David, et al.. (2016). Determination of the efficacy of ultrasound combined with essential oils on the decontamination of Salmonella inoculated lettuce leaves. LWT. 73. 80–87. 59 indexed citations

Millan-Sango, David, et al.. (2016). Decontamination of alfalfa and mung bean sprouts by ultrasound and aqueous chlorine dioxide. LWT. 78. 90–96. 49 indexed citations

Millan-Sango, David, Lianshu Han, V. Milosavljević, et al.. (2015). Assessing bacterial recovery and efficacy of cold atmospheric plasma treatments. Food and Bioproducts Processing. 96. 154–160. 22 indexed citations

Millan-Sango, David, et al.. (2014). Assisted ultrasound applications for the production of safe foods. Journal of Applied Microbiology. 116(5). 1067–1083. 115 indexed citations

Millan-Sango, David, et al.. (2014). Determination of the efficacy of ultrasound in combination with essential oil of oregano for the decontamination of Escherichia coli on inoculated lettuce leaves. Food Research International. 67. 145–154. 55 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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