Manuel Sanz

798 total citations
20 papers, 633 citations indexed

About

Manuel Sanz is a scholar working on Plant Science, Small Animals and Animal Science and Zoology. According to data from OpenAlex, Manuel Sanz has authored 20 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 3 papers in Small Animals and 3 papers in Animal Science and Zoology. Recurrent topics in Manuel Sanz's work include Banana Cultivation and Research (10 papers), Plant Physiology and Cultivation Studies (10 papers) and Plant Micronutrient Interactions and Effects (6 papers). Manuel Sanz is often cited by papers focused on Banana Cultivation and Research (10 papers), Plant Physiology and Cultivation Studies (10 papers) and Plant Micronutrient Interactions and Effects (6 papers). Manuel Sanz collaborates with scholars based in Spain, Italy and United States. Manuel Sanz's co-authors include Javier Abadı́a, L. Montañés, Anunciación Abadı́a, Jesús Pascual, J. Machı́n, Ramzi Belkhodja, Fermı́n Morales, Ana Álvarez‐Fernández, Massimo Tagliavini and Juan José Ramos Antón and has published in prestigious journals such as Plant and Soil, Meat Science and Journal of the Science of Food and Agriculture.

In The Last Decade

Manuel Sanz

20 papers receiving 572 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 Sanz Spain 15 553 51 45 28 26 20 633
Rodrigo Pérez‐Sánchez Spain 12 275 0.5× 63 1.2× 92 2.0× 64 2.3× 18 0.7× 30 399
J. Dixon New Zealand 9 383 0.7× 92 1.8× 44 1.0× 160 5.7× 12 0.5× 16 519
J. Jobling Australia 14 428 0.8× 81 1.6× 15 0.3× 86 3.1× 7 0.3× 45 559
Marija Pećina Croatia 10 191 0.3× 32 0.6× 20 0.4× 59 2.1× 12 0.5× 52 314
Barbara Skwaryło-Bednarz Poland 10 312 0.6× 33 0.6× 47 1.0× 66 2.4× 8 0.3× 46 425
İbrahim Bolat Türkiye 13 527 1.0× 161 3.2× 37 0.8× 41 1.5× 8 0.3× 46 609
Changbing Yu China 14 378 0.7× 109 2.1× 56 1.2× 26 0.9× 8 0.3× 35 543
Ghizan Saleh Malaysia 16 478 0.9× 118 2.3× 59 1.3× 31 1.1× 5 0.2× 63 661
G. M. Ward Canada 15 391 0.7× 54 1.1× 44 1.0× 53 1.9× 5 0.2× 36 523
Kevin R. Day United States 14 631 1.1× 51 1.0× 66 1.5× 54 1.9× 3 0.1× 21 678

Countries citing papers authored by Manuel Sanz

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Sanz

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Sanz. A scholar is included among the top collaborators of Manuel Sanz 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 Sanz. Manuel Sanz 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.
El-Jendoubi, Hamdi, Juan Carlos Melgar, Ana Álvarez‐Fernández, et al.. (2011). Setting good practices to assess the efficiency of iron fertilizers. Plant Physiology and Biochemistry. 49(5). 483–488. 35 indexed citations
2.
Abadı́a, Javier, et al.. (2004). Technologies for the diagnosis and remediation of Fe deficiency. Soil Science & Plant Nutrition. 50(7). 965–971. 55 indexed citations
3.
Martínez, Herminia, Ronessa Bartolomeu de Souza, Javier Abadı́a, Víctor Hugo Álvarez Venegas, & Manuel Sanz. (2003). Coffee‐Tree Floral Analysis as a Mean of Nutritional Diagnosis. Journal of Plant Nutrition. 26(7). 1467–1482. 19 indexed citations
4.
Abadı́a, Javier, Massimo Tagliavini, Ramzi Belkhodja, et al.. (2000). Using the flower Fe concentration for estimating chlorosis status in fruit tree orchards: A summary report. Journal of Plant Nutrition. 23(11-12). 2023–2033. 27 indexed citations
5.
Igartua, Ernesto, et al.. (2000). Prognosis of iron chlorosis from the mineral composition of ¯owers in peach. The Journal of Horticultural Science and Biotechnology. 75(1). 111–118. 31 indexed citations
6.
Sanz, Manuel. (1999). Evaluation of interpretation of DRIS system during growing season of the peach tree: Comparison with dop method. Communications in Soil Science and Plant Analysis. 30(7-8). 1025–1036. 20 indexed citations
7.
Verde, M. T., et al.. (1998). Effect of inoculation of vitamin E or selenium on lamb immune response. 1 indexed citations
8.
Sanz, Manuel, et al.. (1998). Prognosis of iron chlorosis in apple trees by floral analysis. Journal of Plant Nutrition. 21(8). 1697–1703. 21 indexed citations
9.
Belkhodja, Ramzi, Fermı́n Morales, Manuel Sanz, Anunciación Abadı́a, & Javier Abadı́a. (1998). Iron deficiency in peach trees: Effects on leaf chlorophyll and nutrient concentrations in flowers and leaves. Plant and Soil. 203(2). 257–268. 79 indexed citations
10.
Sanz, Manuel, Jesús Pascual, & J. Machı́n. (1997). Prognosis and correction of iron chlorosis in peach trees: Influence on fruit quality. Journal of Plant Nutrition. 20(11). 1567–1572. 47 indexed citations
11.
Fernández, Antonio, et al.. (1997). Aflatoxins and their Metabolites in the Tissues, Faeces and Urine from Lambs Feeding on an Aflatoxin-Contaminated Diet. Journal of the Science of Food and Agriculture. 74(2). 161–168. 40 indexed citations
12.
Sanz, Manuel, et al.. (1996). Effect of breed on the muscle glycogen content and dark cutting incidence in stressed young bulls. Meat Science. 43(1). 37–42. 23 indexed citations
13.
Marca, M.C., et al.. (1996). Haematological and Biochemical Changes in the Blood of Ewes and Lambs after Selenium and Vitamin E Injection. Journal of Applied Animal Research. 9(1). 51–60. 3 indexed citations
14.
Marca, M.C., et al.. (1996). Vitamin B12 supplementation of lambs. Small Ruminant Research. 20(1). 9–14. 2 indexed citations
15.
Verde, M. T., et al.. (1995). Selenium and Glutathione Peroxidase Correlation in Different Blood Samples in Sheep. Journal of Applied Animal Research. 8(1). 21–27. 3 indexed citations
16.
Sanz, Manuel & L. Montañés. (1995). Flower analysis as a new approach to diagnosing the nutritional status of the peach tree. Journal of Plant Nutrition. 18(8). 1667–1675. 42 indexed citations
17.
Montañés, L. & Manuel Sanz. (1994). Prediction of reference values for early leaf analysis for peach trees. Journal of Plant Nutrition. 17(10). 1647–1657. 12 indexed citations
18.
Montañés, L., et al.. (1993). Plant analysis interpretation based on a new index: Deviation from optimum percentage (DOP). Journal of Plant Nutrition. 16(7). 1289–1308. 76 indexed citations
19.
Sanz, Manuel, et al.. (1992). Iron chlorosis in the Ebro River basin, Spain. Journal of Plant Nutrition. 15(10). 1971–1981. 68 indexed citations
20.
Abadı́a, Anunciación, Manuel Sanz, Javier De Las Rivas, & Javier Abadı́a. (1989). Photosynthetic pigments and mineral composition of iron deficient pear leaves. Journal of Plant Nutrition. 12(7). 827–838. 29 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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