Manuel Pinto

2.0k total citations
57 papers, 1.5k citations indexed

About

Manuel Pinto is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Manuel Pinto has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Plant Science, 13 papers in Molecular Biology and 12 papers in Food Science. Recurrent topics in Manuel Pinto's work include Horticultural and Viticultural Research (18 papers), Plant Stress Responses and Tolerance (12 papers) and Plant responses to water stress (9 papers). Manuel Pinto is often cited by papers focused on Horticultural and Viticultural Research (18 papers), Plant Stress Responses and Tolerance (12 papers) and Plant responses to water stress (9 papers). Manuel Pinto collaborates with scholars based in Chile, United States and United Kingdom. Manuel Pinto's co-authors include Erik H. Murchie, Peter Horton, Juan‐Pablo Martínez, J. F. Ledent, Patricio Hinrichsen, Claudio Pastenes, Mark Wentworth, Guillermo Toro, Daniel Villegas and Maurice S. B. Ku and has published in prestigious journals such as New Phytologist, Journal of Experimental Botany and Plant and Soil.

In The Last Decade

Manuel Pinto

55 papers receiving 1.4k 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 Pinto Chile 17 1.3k 380 210 194 139 57 1.5k
Pauline Lemonnier United States 8 1.3k 1.0× 283 0.7× 225 1.1× 85 0.4× 94 0.7× 9 1.6k
Nathalie Pourtau France 13 2.2k 1.8× 741 1.9× 179 0.9× 114 0.6× 129 0.9× 23 2.5k
Claudio Pastenes Chile 19 1.2k 1.0× 402 1.1× 294 1.4× 285 1.5× 90 0.6× 42 1.4k
Craita E. Bita Netherlands 6 1.2k 0.9× 502 1.3× 111 0.5× 99 0.5× 121 0.9× 6 1.4k
Akihiro Nose Japan 19 985 0.8× 453 1.2× 119 0.6× 75 0.4× 74 0.5× 77 1.3k
Damián Balfagón Spain 14 1.6k 1.3× 563 1.5× 153 0.7× 89 0.5× 115 0.8× 20 1.9k
Marianne Lauerer Germany 11 1.2k 1.0× 383 1.0× 75 0.4× 95 0.5× 93 0.7× 32 1.4k
Usman Nazir China 7 1.6k 1.3× 283 0.7× 175 0.8× 73 0.4× 261 1.9× 13 1.9k
Annemarie Krapp France 8 1.5k 1.2× 333 0.9× 355 1.7× 64 0.3× 75 0.5× 8 1.6k
Rafael A. Cañas Spain 24 1.3k 1.0× 718 1.9× 62 0.3× 76 0.4× 160 1.2× 47 1.6k

Countries citing papers authored by Manuel Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Pinto. A scholar is included among the top collaborators of Manuel Pinto 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 Pinto. Manuel Pinto 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.
Pinto, Manuel, et al.. (2025). Impact of adding dehydrated acerola (Malpighia emarginata DC) on the microbiological, colorimetric, and sensory characteristics of acerola ice cream. International Journal of Gastronomy and Food Science. 39. 101101–101101. 1 indexed citations
2.
Zamorano, Alan, Paula Pimentel, Lorena Pizarro, et al.. (2024). Pseudomonas syringae Pathovar syringae Infection Reveals Different Defense Mechanisms in Two Sweet Cherry Cultivars. Plants. 14(1). 87–87.
3.
Toro, Guillermo, Ariel Salvatierra, Boris Sagredo, et al.. (2024). Sweet Cherry Plants Prioritize Their Response to Cope with Summer Drought, Overshadowing the Defense Response to Pseudomonas syringae pv. syringae. Plants. 13(13). 1737–1737. 1 indexed citations
4.
Zamorano, Alan, et al.. (2023). Development of a Genome-Informed Protocol for Detection of Pseudomonas amygdali pv. morsprunorum Using LAMP and PCR. Plants. 12(24). 4119–4119. 1 indexed citations
5.
Fiore, Nicola, Lorena Pizarro, Manuel Pinto, et al.. (2023). Transcriptome Analysis of Sweet Cherry (Prunus avium L.) Cultivar ‘Lapins’ upon Infection of Pseudomonas syringae pv. syringae. Plants. 12(21). 3718–3718. 3 indexed citations
6.
7.
Toro, Guillermo & Manuel Pinto. (2015). Plant respiration under low oxygen. Chilean journal of agricultural research. 75. 57–70. 25 indexed citations
8.
Genova, Alex Di, Andréa Miyasaka Almeida, Dante Travisany, et al.. (2014). Whole genome comparison between table and wine grapes reveals a comprehensive catalog of structural variants. BMC Plant Biology. 14(1). 7–7. 82 indexed citations
9.
10.
Correa, José, et al.. (2014). Heritability and identification of QTLs and underlying candidate genes associated with the architecture of the grapevine cluster (Vitis vinifera L.). Theoretical and Applied Genetics. 127(5). 1143–1162. 42 indexed citations
11.
Hinrichsen, Patricio, et al.. (2012). Characterization of Genetic Diversity of Stone Fruit Rootstocks Used in Chile by Means of Microsatellite Markers. Journal of the American Society for Horticultural Science. 137(5). 302–310. 7 indexed citations
12.
Sierralta, Walter, et al.. (2011). Leaf development, temperature and light stress control of the expression of early light-inducible proteins (ELIPs) in Vitis vinifera L.. Environmental and Experimental Botany. 72(2). 278–283. 14 indexed citations
13.
Murchie, Erik H., Manuel Pinto, & Peter Horton. (2008). Agriculture and the new challenges for photosynthesis research. New Phytologist. 181(3). 532–552. 305 indexed citations
14.
Pinto, Manuel, et al.. (2008). Effects of water stress and high temperature on photosynthetic rates of two species of Prosopis. Journal of Photochemistry and Photobiology B Biology. 92(2). 67–76. 27 indexed citations
15.
Ku, Maurice S. B., Dong Ha Cho, Xia Li, et al.. (2007). Introduction of Genes Encoding C4 Photosynthesis Enzymes into Rice Plants: Physiological Consequences. Novartis Foundation symposium. 236. 100–116. 32 indexed citations
16.
Lizana, X. Carolina, Mark Wentworth, Juan‐Pablo Martínez, et al.. (2006). Differential adaptation of two varieties of common bean to abiotic stress. Journal of Experimental Botany. 57(3). 685–697. 118 indexed citations
17.
Wentworth, Mark, Erik H. Murchie, Julie E. Gray, et al.. (2006). Differential adaptation of two varieties of common bean to abiotic stress. Journal of Experimental Botany. 57(3). 699–709. 91 indexed citations
18.
Pinto, Manuel, et al.. (2002). Bioeconomía Matemática, Explotación y Preservación. 4(1). 49–64–49–64. 1 indexed citations
19.
Pinto, Manuel, et al.. (2002). Enhancement of nodulation in bean ( Phaseolus vulgaris ) by UV-B irradiation. Functional Plant Biology. 29(10). 1189–1196. 16 indexed citations
20.
Pinto, Manuel, et al.. (1999). Effects of UV-B radiation on growth, photosynthesis, UV-B-absorbing compounds and NADP-malic enzyme in bean (Phaseolus vulgaris L.) grown under different nitrogen conditions. Journal of Photochemistry and Photobiology B Biology. 48(2-3). 200–209. 58 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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