C. A. Uthurry

428 total citations
10 papers, 331 citations indexed

About

C. A. Uthurry is a scholar working on Food Science, Plant Science and Animal Science and Zoology. According to data from OpenAlex, C. A. Uthurry has authored 10 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Food Science, 4 papers in Plant Science and 3 papers in Animal Science and Zoology. Recurrent topics in C. A. Uthurry's work include Fermentation and Sensory Analysis (9 papers), Meat and Animal Product Quality (3 papers) and Horticultural and Viticultural Research (3 papers). C. A. Uthurry is often cited by papers focused on Fermentation and Sensory Analysis (9 papers), Meat and Animal Product Quality (3 papers) and Horticultural and Viticultural Research (3 papers). C. A. Uthurry collaborates with scholars based in Spain and Argentina. C. A. Uthurry's co-authors include José Antonio Suárez-Lepe, António Morata, Wendu Tesfaye, Ricardo Vejarano, Iris Loira, María Antonia Bañuelos, F. Palomero, Santiago Benito, B. Colomo and José Antonio Lepe and has published in prestigious journals such as Food Chemistry, International Journal of Food Microbiology and LWT.

In The Last Decade

C. A. Uthurry

9 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. A. Uthurry Spain	7	284	164	79	68	62	10	331
Ana María Molina Chile	4	362 1.3×	237 1.4×	92 1.2×	73 1.1×	67 1.1×	5	399
L. Castellari Italy	8	359 1.3×	272 1.7×	74 0.9×	138 2.0×	43 0.7×	18	448
Christine Mayr Marangon Italy	12	399 1.4×	256 1.6×	162 2.1×	154 2.3×	48 0.8×	23	527
Pedro Miguel Izquierdo Cañas Spain	10	396 1.4×	250 1.5×	84 1.1×	113 1.7×	108 1.7×	22	445
Francesca Sonni Italy	12	436 1.5×	242 1.5×	201 2.5×	86 1.3×	50 0.8×	16	526
Sylvester Holt Belgium	9	462 1.6×	265 1.6×	94 1.2×	166 2.4×	99 1.6×	14	549
Rebecca C. Deed New Zealand	10	276 1.0×	144 0.9×	76 1.0×	88 1.3×	53 0.9×	40	352
Imelda Ryona United States	10	234 0.8×	213 1.3×	78 1.0×	57 0.8×	19 0.3×	10	350
Pedro Miguel Izquierdo-Cañas Spain	12	344 1.2×	243 1.5×	202 2.6×	71 1.0×	39 0.6×	27	442
Yann Vasserot France	13	353 1.2×	252 1.5×	121 1.5×	220 3.2×	122 2.0×	22	552

Countries citing papers authored by C. A. Uthurry

Since Specialization

Citations

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

Fields of papers citing papers by C. A. Uthurry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. A. Uthurry. 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 C. A. Uthurry. The network helps show where C. A. Uthurry may publish in the future.

Co-authorship network of co-authors of C. A. Uthurry

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

All Works

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10 of 10 papers shown

1.

Uthurry, C. A., et al.. (2021). Quantitative sensory characterisation of, and distinction between, Argentine ciders. Journal of the Institute of Brewing. 127(3). 273–285. 1 indexed citations

2.

Uthurry, C. A., et al.. (2019). Physicochemical and sensorial characterisation of Argentine ciders. Journal of the Institute of Brewing. 125(4). 433–442. 8 indexed citations

3.

Loira, Iris, Ricardo Vejarano, María Antonia Bañuelos, et al.. (2014). Influence of sequential fermentation with Torulaspora delbrueckii and Saccharomyces cerevisiae on wine quality. LWT. 59(2). 915–922. 102 indexed citations

4.

Morata, António, Ricardo Vejarano, Santiago Benito, et al.. (2012). Reduction of 4-ethylphenol production in red wines using HCDC+ yeasts and cinnamyl esterases. Enzyme and Microbial Technology. 52(2). 99–104. 33 indexed citations

5.

Uthurry, C. A., David Hevia, & Carmen Gómez‐Cordovés. (2011). Role of honey polyphenols in health. 3(4). 141–159. 25 indexed citations

6.

Benito, Santiago, F. Palomero, António Morata, C. A. Uthurry, & José Antonio Suárez-Lepe. (2009). Minimization of ethylphenol precursors in red wines via the formation of pyranoanthocyanins by selected yeasts. International Journal of Food Microbiology. 132(2-3). 145–152. 35 indexed citations

7.

Uthurry, C. A., et al.. (2007). Incidence of nitrogenous compounds of must on ethyl carbamate formation induced by lactic acid bacteria. OENO One. 41(4). 215–215. 2 indexed citations

8.

Uthurry, C. A., et al.. (2005). Ethyl carbamate production by selected yeasts and lactic acid bacteria in red wine. Food Chemistry. 94(2). 262–270. 79 indexed citations

9.

Uthurry, C. A., et al.. (2004). Ethyl carbamate concentrations of typical Spanish red wines. Food Chemistry. 88(3). 329–336. 46 indexed citations

10.

Colomo, B., et al.. (2003). Primeros criterios de selección de levaduras para la vinificación en tinto. Dialnet (Universidad de la Rioja). 271–276.

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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