Marcello R. Silveira

449 total citations
8 papers, 367 citations indexed

About

Marcello R. Silveira is a scholar working on Nutrition and Dietetics, Food Science and Animal Science and Zoology. According to data from OpenAlex, Marcello R. Silveira has authored 8 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nutrition and Dietetics, 4 papers in Food Science and 3 papers in Animal Science and Zoology. Recurrent topics in Marcello R. Silveira's work include Microbial Inactivation Methods (3 papers), Meat and Animal Product Quality (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Marcello R. Silveira is often cited by papers focused on Microbial Inactivation Methods (3 papers), Meat and Animal Product Quality (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Marcello R. Silveira collaborates with scholars based in Brazil, Australia and Italy. Marcello R. Silveira's co-authors include Adriano G. Cruz, Mônica Q. Freitas, Tatiana Colombo Pimentel, Nathália M. Coutinho, Suelí Rodrigues, Fabiano A.N. Fernandes, Márcia C. Silva, Fábio O. Borges, Roberto P.C. Neto and Maria Inês Bruno Tavares and has published in prestigious journals such as Food Chemistry, Journal of Dairy Science and Food Research International.

In The Last Decade

Marcello R. Silveira

7 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcello R. Silveira Brazil	7	184	137	128	82	75	8	367
Hamed Mahdavian Mehr Iran	9	285 1.5×	47 0.3×	43 0.3×	77 0.9×	84 1.1×	10	397
Silvia Mošovská Slovakia	12	114 0.6×	114 0.8×	47 0.4×	10 0.1×	37 0.5×	23	360
Shuangshuang Wang China	11	181 1.0×	25 0.2×	54 0.4×	45 0.5×	99 1.3×	19	347
Hee-Jeong Hwang South Korea	12	128 0.7×	19 0.1×	201 1.6×	38 0.5×	72 1.0×	26	369
Hye Won Yeom United States	5	243 1.3×	19 0.1×	343 2.7×	72 0.9×	53 0.7×	8	500
Zs. Cserhalmi Hungary	5	272 1.5×	27 0.2×	314 2.5×	63 0.8×	58 0.8×	9	538
S. Min United States	11	318 1.7×	30 0.2×	354 2.8×	82 1.0×	45 0.6×	14	592
Leo Gracin Croatia	10	254 1.4×	11 0.1×	58 0.5×	36 0.4×	48 0.6×	25	338
Prashant Raj Pokhrel United States	9	242 1.3×	11 0.1×	322 2.5×	103 1.3×	48 0.6×	9	494

Countries citing papers authored by Marcello R. Silveira

Since Specialization

Citations

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

Fields of papers citing papers by Marcello R. Silveira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcello R. Silveira. 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 Marcello R. Silveira. The network helps show where Marcello R. Silveira may publish in the future.

Co-authorship network of co-authors of Marcello R. Silveira

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

All Works

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8 of 8 papers shown

Filho, Elson Rogério Tavares, Tatiana Colombo Pimentel, Jonas T. Guimarães, et al.. (2025). An innovative carbonated beverage based with milk permeate and prebiotics. Food Research International. 212. 116536–116536.

Coutinho, Nathália M., Marcello R. Silveira, Ramon S. Rocha, et al.. (2021). Impact of cold plasma on the techno-functional and sensory properties of whey dairy beverage added with xylooligosaccharide. Food Research International. 142. 110232–110232. 33 indexed citations

Rocha, Ramon S., Ramón Silva, Jonas T. Guimarães, et al.. (2020). Ohmic heating does not influence the biochemical properties of Minas Frescal cheese but decreases uric acid levels in healthy Wistar rats. Journal of Dairy Science. 103(6). 4929–4934. 13 indexed citations

Coutinho, Nathália M., Marcello R. Silveira, Jonas T. Guimarães, et al.. (2020). Are consumers willing to pay for a product processed by emerging technologies? The case of chocolate milk drink processed by cold plasma. LWT. 138. 110772–110772. 34 indexed citations

Silveira, Marcello R., Nathália M. Coutinho, Ramon S. Rocha, et al.. (2018). Guava flavored whey-beverage processed by cold plasma: Physical characteristics, thermal behavior and microstructure. Food Research International. 119. 564–570. 46 indexed citations

Silveira, Marcello R., Nathália M. Coutinho, Erick A. Esmerino, et al.. (2018). Guava-flavored whey beverage processed by cold plasma technology: Bioactive compounds, fatty acid profile and volatile compounds. Food Chemistry. 279. 120–127. 102 indexed citations

Coutinho, Nathália M., Marcello R. Silveira, Jeremias Moraes, et al.. (2018). Processing chocolate milk drink by low-pressure cold plasma technology. Food Chemistry. 278. 276–283. 78 indexed citations

Coutinho, Nathália M., Marcello R. Silveira, Tatiana Colombo Pimentel, et al.. (2018). Chocolate milk drink processed by cold plasma technology: Physical characteristics, thermal behavior and microstructure. LWT. 102. 324–329. 61 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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