M. Castillo

3.2k total citations
101 papers, 2.4k citations indexed

About

M. Castillo is a scholar working on Animal Science and Zoology, Food Science and Molecular Biology. According to data from OpenAlex, M. Castillo has authored 101 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Animal Science and Zoology, 60 papers in Food Science and 21 papers in Molecular Biology. Recurrent topics in M. Castillo's work include Meat and Animal Product Quality (58 papers), Proteins in Food Systems (38 papers) and Probiotics and Fermented Foods (22 papers). M. Castillo is often cited by papers focused on Meat and Animal Product Quality (58 papers), Proteins in Food Systems (38 papers) and Probiotics and Fermented Foods (22 papers). M. Castillo collaborates with scholars based in Spain, United States and Ireland. M. Castillo's co-authors include F. A. Payne, J. Gasa, Susana M. Martín–Orúe, Ignacio Badiola, Edgar García Manzanilla, J. F. Pérez, D.J. O’Callaghan, Colm P. O’Donnell, D. Álvarez and Youling L. Xiong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

M. Castillo

100 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Castillo Spain 25 1.3k 1.2k 603 315 296 101 2.4k
L. Pellegrino Italy 28 1.3k 1.0× 422 0.4× 821 1.4× 165 0.5× 380 1.3× 101 2.2k
Emanuela Zanardi Italy 33 1.4k 1.1× 1.6k 1.4× 1.5k 2.4× 101 0.3× 277 0.9× 112 3.6k
Sergio Ghidini Italy 24 834 0.7× 634 0.5× 750 1.2× 81 0.3× 130 0.4× 102 2.2k
Jane P. Sutherland United Kingdom 25 1.2k 0.9× 534 0.5× 486 0.8× 142 0.5× 302 1.0× 52 2.1k
José Luis Rodríguez Otero Spain 24 733 0.6× 386 0.3× 333 0.6× 141 0.4× 149 0.5× 70 1.5k
Michael Tilley United States 35 843 0.7× 412 0.4× 541 0.9× 167 0.5× 1.0k 3.5× 120 3.6k
Arthur Hinton United States 29 1.5k 1.2× 1.1k 1.0× 429 0.7× 54 0.2× 182 0.6× 124 2.6k
A. Govaris Greece 27 1.4k 1.1× 1.1k 0.9× 422 0.7× 197 0.6× 177 0.6× 59 2.7k
Vasco Cadavez Portugal 25 1.1k 0.9× 485 0.4× 227 0.4× 127 0.4× 341 1.2× 125 1.9k
Yichao Yang United States 24 624 0.5× 1.1k 1.0× 304 0.5× 53 0.2× 175 0.6× 42 1.9k

Countries citing papers authored by M. Castillo

Since Specialization
Citations

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

Fields of papers citing papers by M. Castillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Castillo

This figure shows the co-authorship network connecting the top 25 collaborators of M. Castillo. A scholar is included among the top collaborators of M. Castillo 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 M. Castillo. M. Castillo 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.
Ulloa, Néstor, et al.. (2025). Evaluating the compressive strength of industrial wastes-based geopolymer concrete with machine learning models. Construction and Building Materials. 472. 140891–140891. 7 indexed citations
2.
3.
Zamora, Anna, et al.. (2022). Developing an optical backscatter method for determining casein micelle particle size in heated milk. Food Research International. 161. 111745–111745. 1 indexed citations
4.
Zamora, Anna, et al.. (2022). Tryptophan front-face fluorescence and functional properties of whey: A preliminary study. LWT. 163. 113589–113589. 5 indexed citations
5.
Ríos‐Castillo, Abel Guillermo, Carolina Ripolles‐Avila, Anna Zamora, et al.. (2021). Effectiveness of enzymatic treatment for reducing dairy fouling at pilot-plant scale under real cleaning conditions. LWT. 154. 112634–112634. 13 indexed citations
6.
Zamora, Anna, et al.. (2021). Prediction of riboflavin and ascorbic acid concentrations in skimmed heat-treated milk using front-face fluorescence spectroscopy. Journal of Food Engineering. 318. 110869–110869. 13 indexed citations
7.
Trujillo, A.J., et al.. (2013). Influence of fat replacement by inulin on rheological properties, kinetics of rennet milk coagulation, and syneresis of milk gels. Journal of Dairy Science. 96(4). 1984–1996. 32 indexed citations
8.
Payne, F. A., et al.. (2013). Optical backscatter method for determining thermal denaturation of β-lactoglobulin and other whey proteins in milk. Journal of Dairy Science. 96(3). 1356–1365. 12 indexed citations
9.
Everard, Colm, et al.. (2011). Effects of milk composition, stir-out time, and pressing duration on curd moisture and yield. Journal of Dairy Science. 94(6). 2673–2679. 13 indexed citations
10.
Álvarez, D., et al.. (2011). Influence of canola-olive oils, rice bran and walnut on functionality and emulsion stability of frankfurters. LWT. 44(6). 1435–1442. 57 indexed citations
11.
Ferrandini, E., M.B. López, M. Castillo, & J. Laencina. (2010). Influence of an artisanal lamb rennet paste on proteolysis and textural properties of Murcia al Vino cheese. Food Chemistry. 124(2). 583–588. 22 indexed citations
12.
Talens, Clara, D.J. O’Callaghan, Colm Everard, et al.. (2009). Evaluation of an improved tracer method to monitor cheese curd syneresis at varying milk fat levels in a cheese vat.. Milk science international/Milchwissenschaft. 64(2). 161–164. 6 indexed citations
13.
Álvarez, D., M. Castillo, F. A. Payne, & Youling L. Xiong. (2008). A novel fiber optic sensor to monitor beef meat emulsion stability using visible light scattering. Meat Science. 81(3). 456–466. 9 indexed citations
14.
Pascual, Juan José, V.J. Moya, Emilio A. Martı́nez, et al.. (2008). Effects of dietary inclusion of toyocerin® (Bacillus cereus var. toyoi) on performance, health and faecal nitrogen excretion in growing rabbits.. 781–786. 4 indexed citations
15.
Castillo, M., Susana M. Martín–Orúe, Edgar García Manzanilla, et al.. (2006). The response of gastrointestinal microbiota to avilamycin, butyrate, and plant extracts in early-weaned pigs1,2. Journal of Animal Science. 84(10). 2725–2734. 118 indexed citations
16.
Castillo, M., et al.. (2000). Kinetics of syneresis in fresh goat cheese. Milk science international/Milchwissenschaft. 55(10). 566–569. 9 indexed citations
17.
Jordán, María J., et al.. (1999). Viscosity changes during rennet coagulation of Murciano‐Granadina goat milk. International Journal of Dairy Technology. 52(3). 102–106. 13 indexed citations
18.
López, M.B., María J. Jordán, Pilar Hellín, M. Castillo, & J. Laencina. (1997). KINETICS OF KAPPA -CASEIN HYDROLYSIS BY DIFFERENT RENNET AND COAGULANT ENZYMES IN MURCIANO-GRANADINA GOAT MILK. Milk science international/Milchwissenschaft. 52(7). 370–373. 5 indexed citations
19.
Castillo, M., et al.. (1995). Estudio de la calidad sanitaria de productos cárnicos frescos elaborados en carnicerías-salchicherías del área de salud de Xátiva. Alimentaria. 27–32. 4 indexed citations
20.
Castillo, M., et al.. (1995). Control sanitario de aguas minerales naturales envasadas. Alimentaria. 105–110. 1 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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