Manuel Araya

762 total citations
20 papers, 642 citations indexed

About

Manuel Araya is a scholar working on Nutrition and Dietetics, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Manuel Araya has authored 20 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nutrition and Dietetics, 4 papers in Pollution and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Manuel Araya's work include Selenium in Biological Systems (7 papers), Trace Elements in Health (5 papers) and Pesticide and Herbicide Environmental Studies (4 papers). Manuel Araya is often cited by papers focused on Selenium in Biological Systems (7 papers), Trace Elements in Health (5 papers) and Pesticide and Herbicide Environmental Studies (4 papers). Manuel Araya collaborates with scholars based in Chile, United States and Switzerland. Manuel Araya's co-authors include Claudio C. Vásquez, Claudia P. Saavedra, Claudio Alister, Marcelo J. Kogan, Ricardo Simpson, Carolina Henríquez, Sergio Almonacid, Hernán Speisky, Ítalo Chiffelle and Derie E. Fuentes and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and Food Chemistry.

In The Last Decade

Manuel Araya

20 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Araya Chile 15 219 181 176 113 105 20 642
Luciano Molognoni Brazil 20 163 0.7× 407 2.2× 144 0.8× 182 1.6× 281 2.7× 53 1.1k
Enrica Canzi Italy 15 278 1.3× 195 1.1× 91 0.5× 37 0.3× 306 2.9× 26 850
R. Zanchi Italy 14 226 1.0× 108 0.6× 96 0.5× 30 0.3× 173 1.6× 26 664
John J. Mellem South Africa 17 252 1.2× 303 1.7× 295 1.7× 57 0.5× 92 0.9× 49 801
Khaled A. Tarawneh Jordan 13 43 0.2× 124 0.7× 183 1.0× 51 0.5× 112 1.1× 33 558
N. Mabon Belgium 11 142 0.6× 269 1.5× 338 1.9× 46 0.4× 121 1.2× 26 587
Jelena Samardžić Serbia 16 111 0.5× 117 0.6× 701 4.0× 89 0.8× 75 0.7× 39 880
In Min Hwang South Korea 18 146 0.7× 283 1.6× 243 1.4× 55 0.5× 305 2.9× 69 1.3k
Fernando Cordeiro Belgium 13 122 0.6× 184 1.0× 83 0.5× 34 0.3× 127 1.2× 55 665
Hrishikesh Upadhyaya India 19 118 0.5× 72 0.4× 626 3.6× 41 0.4× 185 1.8× 39 1.1k

Countries citing papers authored by Manuel Araya

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Araya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Araya

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Araya. A scholar is included among the top collaborators of Manuel Araya 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 Manuel Araya. Manuel Araya 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.
Alister, Claudio, et al.. (2020). Humic Substances and their Relation to Pesticide Sorption in Eight Volcanic Soils. Planta Daninha. 38. 8 indexed citations
2.
Alister, Claudio, et al.. (2018). Industrial prune processing and its effect on pesticide residue concentrations. Food Chemistry. 268. 264–270. 38 indexed citations
3.
Alister, Claudio, et al.. (2016). Preharvest Interval Periods and their relation to fruit growth stages and pesticide formulations. Food Chemistry. 221. 548–554. 19 indexed citations
4.
Alister, Claudio, et al.. (2014). Effects of wine grape cultivar, application conditions and the winemaking process on the dissipation of six pesticides. Ciencia e investigación agraria. 41(3). 19–20. 17 indexed citations
5.
Valdés‐Gómez, Héctor, et al.. (2013). Assessment of an empirical spatial prediction model of vine water status for irrigation management in a grapevine field. Agricultural Water Management. 124. 58–68. 31 indexed citations
6.
Kogan, Marcelo J., Manuel Araya, & Claudio Alister. (2011). Water and sediment dynamics of penoxsulam and molinate in paddy fields: field and lysimeter studies. Pest Management Science. 68(3). 399–403. 14 indexed citations
7.
Alister, Claudio, Manuel Araya, & Marcelo J. Kogan. (2011). Effects of physicochemical soil properties of five agricultural soils on herbicide soil adsorption and leaching. Ciencia e investigación agraria. 38(2). 243–251. 13 indexed citations
8.
Alister, Claudio, Manuel Araya, & Marcelo J. Kogan. (2010). Adsorption and desorption variability of four herbicides used in paddy rice production. Journal of Environmental Science and Health Part B. 46(1). 62–68. 21 indexed citations
9.
Henríquez, Carolina, Sergio Almonacid, Ítalo Chiffelle, et al.. (2010). Determination of Antioxidant Capacity, Total Phenolic Content and Mineral Composition of Different Fruit Tissue of Five Apple Cultivars Grown in Chile. Chilean journal of agricultural research. 70(4). 523–536. 123 indexed citations
10.
Henríquez, Carolina, Hernán Speisky, Ítalo Chiffelle, et al.. (2010). Development of an Ingredient Containing Apple Peel, as a Source of Polyphenols and Dietary Fiber. Journal of Food Science. 75(6). H172–81. 74 indexed citations
11.
12.
Fuentes, Derie E., Miguel E. Castro, J.M. Pérez, et al.. (2007). Cysteine Metabolism-Related Genes and Bacterial Resistance to Potassium Tellurite. Journal of Bacteriology. 189(24). 8953–8960. 45 indexed citations
13.
Calderón, Iván L., Felipe Arenas, J.M. Pérez, et al.. (2006). Catalases Are NAD(P)H-Dependent Tellurite Reductases. PLoS ONE. 1(1). e70–e70. 71 indexed citations
14.
Fuentes, Derie E., Claudio A. Navarro, Juan C. Tantaleán, et al.. (2005). The product of the qacC gene of Staphylococcus epidermidis CH mediates resistance to β-lactam antibiotics in Gram-positive and Gram-negative bacteria. Research in Microbiology. 156(4). 472–477. 24 indexed citations
15.
Araya, Manuel, et al.. (2004). Identification of biogenic organotellurides in Escherichia coli K-12 headspace gases using solid-phase microextraction and gas chromatography. Analytical Biochemistry. 331(1). 106–114. 19 indexed citations
16.
17.
Saavedra, Claudia P., M. V. Encinas, Manuel Araya, et al.. (2004). Biochemical characterization of a thermostable cysteine synthase from Geobacillus stearothermophilus V. Biochimie. 86(7). 481–485. 10 indexed citations
18.
Tantaleán, Juan C., Manuel Araya, Claudia P. Saavedra, et al.. (2003). The Geobacillus stearothermophilus V iscS Gene, Encoding Cysteine Desulfurase, Confers Resistance to Potassium Tellurite in Escherichia coli K-12. Journal of Bacteriology. 185(19). 5831–5837. 45 indexed citations
19.
Pîchuantes, Sergio, et al.. (2002). Expression of Bacillus stearothermophilus LV Cadmium Resistance Genes in Escherichia coli Causes Hypersensitivity to Cadmium Chloride. Current Microbiology. 45(3). 187–190. 5 indexed citations
20.
Vásquez, Claudio C., et al.. (2001). The Product of the cysK Gene of Bacillus stearothermophilus V Mediates Potassium Tellurite Resistance in Escherichia coli. Current Microbiology. 43(6). 418–423. 40 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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