Alejandro Cáceres‐Mella

723 total citations
29 papers, 568 citations indexed

About

Alejandro Cáceres‐Mella is a scholar working on Plant Science, Food Science and Biochemistry. According to data from OpenAlex, Alejandro Cáceres‐Mella has authored 29 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 20 papers in Food Science and 9 papers in Biochemistry. Recurrent topics in Alejandro Cáceres‐Mella's work include Horticultural and Viticultural Research (19 papers), Fermentation and Sensory Analysis (18 papers) and Phytochemicals and Antioxidant Activities (9 papers). Alejandro Cáceres‐Mella is often cited by papers focused on Horticultural and Viticultural Research (19 papers), Fermentation and Sensory Analysis (18 papers) and Phytochemicals and Antioxidant Activities (9 papers). Alejandro Cáceres‐Mella collaborates with scholars based in Chile, Spain and Brazil. Alejandro Cáceres‐Mella's co-authors include Álvaro Peña‐Neira, Claudio Pastenes, Remigio López‐Solís, Xavier Emery, Joan Miquel Canals, Teresa Hernández, Isabel Estrella, Ricardo Pertuzé, Cecilia Baginsky and Elías Obreque‐Slier and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of the Science of Food and Agriculture and LWT.

In The Last Decade

Alejandro Cáceres‐Mella

26 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alejandro Cáceres‐Mella Chile 14 348 308 178 81 78 29 568
Jean‐Claude Bouvier France 11 90 0.3× 157 0.5× 53 0.3× 74 0.9× 24 0.3× 21 516
Jean‐Claude Boulet France 14 257 0.7× 337 1.1× 159 0.9× 107 1.3× 5 0.1× 33 635
Yidan Bao China 23 604 1.7× 220 0.7× 141 0.8× 199 2.5× 27 0.3× 36 1.8k
Juan Fernández‐Novales Spain 19 589 1.7× 331 1.1× 92 0.5× 50 0.6× 14 0.2× 31 1.0k
Qian Jiang China 10 243 0.7× 56 0.2× 64 0.4× 193 2.4× 39 0.5× 20 599
Necati Çetin Türkiye 15 261 0.8× 272 0.9× 91 0.5× 24 0.3× 33 0.4× 56 661
P.P. Subedi Australia 17 637 1.8× 136 0.4× 76 0.4× 43 0.5× 26 0.3× 43 1.2k
J. L. Navarrete‐Bolaños Mexico 15 97 0.3× 193 0.6× 73 0.4× 109 1.3× 31 0.4× 36 517
Vivaldo Silveira Brazil 14 119 0.3× 305 1.0× 32 0.2× 17 0.2× 110 1.4× 53 597
Xi Tian China 21 474 1.4× 152 0.5× 122 0.7× 65 0.8× 10 0.1× 39 1.3k

Countries citing papers authored by Alejandro Cáceres‐Mella

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Cáceres‐Mella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Cáceres‐Mella. 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 Alejandro Cáceres‐Mella. The network helps show where Alejandro Cáceres‐Mella may publish in the future.

Co-authorship network of co-authors of Alejandro Cáceres‐Mella

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Cáceres‐Mella. A scholar is included among the top collaborators of Alejandro Cáceres‐Mella 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 Alejandro Cáceres‐Mella. Alejandro Cáceres‐Mella 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.
Cáceres‐Mella, Alejandro, et al.. (2025). Fuzzy Classification of Mineral Resources: Moving Toward Overlapping Categories to Account for Geological, Economic, Metallurgical, Environmental, and Operational Criteria. Natural Resources Research. 34(3). 1271–1299. 4 indexed citations
2.
Mussagy, Cassamo U., et al.. (2024). Understanding the molecular structure of natural anthocyanins during recovery with ionic liquids: A combined COSMO-RS and experimental study. Food Bioscience. 62. 105283–105283. 3 indexed citations
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Cuneo, Italo F., et al.. (2023). Rootstock Effect Influences the Phenolic and Sensory Characteristics of Syrah Grapes and Wines in a Mediterranean Climate. Agronomy. 13(10). 2530–2530. 2 indexed citations
6.
Cáceres‐Mella, Alejandro, et al.. (2022). Color desynchronization with softening of ‘Hass’ avocado: Targeted pigment, hormone and gene expression analysis. Postharvest Biology and Technology. 194. 112067–112067. 14 indexed citations
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Ferreyra, R., et al.. (2020). Calibration of the Surface Renewal Method (SR) under Different Meteorological Conditions in an Avocado Orchard. Agronomy. 10(5). 730–730. 1 indexed citations
9.
Besoaín, Ximena, et al.. (2019). Impact of Nitrogen Fertilization on Phytophthora cinnamomi Root-related Damage in Juglans regia Saplings. HortScience. 54(12). 2188–2194. 2 indexed citations
10.
Pastenes, Claudio, et al.. (2018). Phenolic composition and sensory characteristics of Cabernet Sauvignon wines: effect of water stress and harvest date. International Journal of Food Science & Technology. 53(7). 1726–1735. 14 indexed citations
11.
Cáceres‐Mella, Alejandro, et al.. (2017). Controlled water deficit during ripening affects proanthocyanidin synthesis, concentration and composition in Cabernet Sauvignon grape skins. Plant Physiology and Biochemistry. 117. 34–41. 40 indexed citations
12.
Úbeda, Cristina, et al.. (2017). Water stress and ripeness effects on the volatile composition of Cabernet Sauvignon wines. Journal of the Science of Food and Agriculture. 98(3). 1140–1152. 17 indexed citations
13.
Emery, Xavier, et al.. (2017). Geostatistical modeling of the geological uncertainty in an iron ore deposit. Ore Geology Reviews. 88. 336–351. 61 indexed citations
14.
Barrio‐Galán, Rubén del, Alejandro Cáceres‐Mella, Marcela Medel‐Marabolí, & Álvaro Peña‐Neira. (2014). Effect of selected Saccharomyces cerevisiae yeast strains and different aging techniques on the polysaccharide and polyphenolic composition and sensorial characteristics of Cabernet Sauvignon red wines. Journal of the Science of Food and Agriculture. 95(10). 2132–2144. 13 indexed citations
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Laurie, V. Felipe, et al.. (2014). Periodic Aeration of Red Wine Compared to Microoxygenation at Production Scale. American Journal of Enology and Viticulture. 65(2). 254–260. 7 indexed citations
17.
Cáceres‐Mella, Alejandro, et al.. (2014). Chemical and Sensory Effects of Storing Sauvignon Blanc Wine in Colored Bottles under Artificial Light. Journal of Agricultural and Food Chemistry. 62(29). 7255–7262. 12 indexed citations
18.
Cáceres‐Mella, Alejandro, Álvaro Peña‐Neira, Marcela Medel‐Marabolí, et al.. (2013). Phenolic composition and mouthfeel characteristics resulting from blending Chilean red wines. Journal of the Science of Food and Agriculture. 94(4). 666–676. 17 indexed citations
19.
Cáceres‐Mella, Alejandro, et al.. (2013). Comparison of analytical methods for measuring proanthocyanidins in wines and their relationship with perceived astringency. International Journal of Food Science & Technology. 48(12). 2588–2594. 43 indexed citations
20.
Cáceres‐Mella, Alejandro, et al.. (2012). Effect of inert gas and prefermentative treatment with polyvinylpolypyrrolidone on the phenolic composition of Chilean Sauvignon blanc wines. Journal of the Science of Food and Agriculture. 93(8). 1928–1934. 11 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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