Marcos Malosetti

4.8k total citations · 1 hit paper
56 papers, 3.3k citations indexed

About

Marcos Malosetti is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Marcos Malosetti has authored 56 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Plant Science, 38 papers in Genetics and 5 papers in Agronomy and Crop Science. Recurrent topics in Marcos Malosetti's work include Genetic Mapping and Diversity in Plants and Animals (37 papers), Genetics and Plant Breeding (34 papers) and Wheat and Barley Genetics and Pathology (19 papers). Marcos Malosetti is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (37 papers), Genetics and Plant Breeding (34 papers) and Wheat and Barley Genetics and Pathology (19 papers). Marcos Malosetti collaborates with scholars based in Netherlands, United States and Australia. Marcos Malosetti's co-authors include Fred A. van Eeuwijk, Jean‐Marcel Ribaut, Daniela Bustos‐Korts, Martin P. Boer, C. Gerard van der Linden, Andreas Graner, Benjamin Kilian, Scott Chapman, B. Vosman and Fred van Eeuwijk and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Genetics.

In The Last Decade

Marcos Malosetti

56 papers receiving 3.2k citations

Hit Papers

The statistical analysis of multi-environment data: model... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcos Malosetti Netherlands 31 3.0k 1.7k 449 251 149 56 3.3k
Nicholas A. Tinker Canada 34 4.0k 1.4× 1.8k 1.0× 502 1.1× 624 2.5× 170 1.1× 100 4.5k
Geoffrey P. Morris United States 27 2.1k 0.7× 1.6k 0.9× 967 2.2× 613 2.4× 192 1.3× 65 3.1k
Roberto Fritsche‐Neto Brazil 26 1.9k 0.6× 1.1k 0.7× 360 0.8× 167 0.7× 94 0.6× 142 2.2k
Prasanta K. Subudhi United States 27 2.6k 0.9× 1.2k 0.7× 505 1.1× 690 2.7× 109 0.7× 76 3.0k
Haydn Kuchel Australia 29 3.1k 1.0× 1.4k 0.8× 815 1.8× 237 0.9× 120 0.8× 49 3.4k
Xuecai Zhang Mexico 28 3.4k 1.1× 2.5k 1.4× 359 0.8× 488 1.9× 63 0.4× 82 3.9k
Manish Roorkiwal India 29 3.4k 1.1× 1.2k 0.7× 253 0.6× 492 2.0× 234 1.6× 69 3.7k
Jean‐Marcel Ribaut Mexico 36 4.6k 1.5× 2.5k 1.4× 1.0k 2.2× 619 2.5× 156 1.0× 54 5.0k
Manje Gowda Kenya 36 4.1k 1.4× 2.7k 1.5× 604 1.3× 511 2.0× 116 0.8× 96 4.5k
Klaus Pillen Germany 38 4.5k 1.5× 2.1k 1.2× 653 1.5× 691 2.8× 105 0.7× 140 4.8k

Countries citing papers authored by Marcos Malosetti

Since Specialization
Citations

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

Fields of papers citing papers by Marcos Malosetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcos Malosetti

This figure shows the co-authorship network connecting the top 25 collaborators of Marcos Malosetti. A scholar is included among the top collaborators of Marcos Malosetti 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 Marcos Malosetti. Marcos Malosetti 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.
Hufnagel, Bárbara, Marcos Malosetti, S. M. de Sousa, et al.. (2024). Multi-trait association mapping for phosphorous efficiency reveals flexible root architectures in sorghum. BMC Plant Biology. 24(1). 562–562. 4 indexed citations
2.
Leitão, Susana T., Maria‐João Paulo, Marcos Malosetti, et al.. (2021). Common bean SNP alleles and candidate genes affecting photosynthesis under contrasting water regimes. Horticulture Research. 8(1). 4–4. 18 indexed citations
3.
Malosetti, Marcos, et al.. (2020). Lessons from a GWAS study of a wheat pre-breeding program: pyramiding resistance alleles to Fusarium crown rot. Theoretical and Applied Genetics. 134(3). 897–908. 18 indexed citations
4.
Bustos‐Korts, Daniela, Marcos Malosetti, Karine Chenu, et al.. (2019). From QTLs to Adaptation Landscapes: Using Genotype-To-Phenotype Models to Characterize G×E Over Time. Frontiers in Plant Science. 10. 1540–1540. 35 indexed citations
5.
Jordan, David, et al.. (2019). Genomic Prediction of Grain Yield and Drought-Adaptation Capacity in Sorghum Is Enhanced by Multi-Trait Analysis. Frontiers in Plant Science. 10. 997–997. 51 indexed citations
6.
Carbas, Bruna, Maria João Gaspar, Pedro Mendes‐Moreira, et al.. (2019). Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour. BMC Plant Biology. 19(1). 123–123. 21 indexed citations
8.
Bustos‐Korts, Daniela, Martin P. Boer, Marcos Malosetti, et al.. (2019). Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies. Frontiers in Plant Science. 10. 1491–1491. 50 indexed citations
9.
Malosetti, Marcos, et al.. (2019). Combining pedigree and genomic information to improve prediction quality: an example in sorghum. Theoretical and Applied Genetics. 132(7). 2055–2067. 38 indexed citations
10.
Eeuwijk, Fred A. van, Daniela Bustos‐Korts, Marcos Malosetti, et al.. (2016). Will high throughput phenotyping and genotyping techniques help us to better predict GxE interactions? Some considerations from statistics and crop growth modelling. Queensland's institutional digital repository (The University of Queensland). 8–9. 1 indexed citations
11.
El‐Soda, Mohamed, Marcos Malosetti, Bas J. Zwaan, Maarten Koornneef, & Mark G. M. Aarts. (2014). Genotype × environment interaction QTL mapping in plants: lessons from Arabidopsis. Trends in Plant Science. 19(6). 390–398. 194 indexed citations
12.
Malosetti, Marcos, et al.. (2014). Genome-Wide Association Mapping for Kernel and Malting Quality Traits Using Historical European Barley Records. PLoS ONE. 9(11). e110046–e110046. 49 indexed citations
13.
Tondelli, Alessandro, Enrico Francia, Marcos Malosetti, et al.. (2013). Genome-wide association mapping of frost tolerance in barley (Hordeum vulgare L.). BMC Genomics. 14(1). 424–424. 74 indexed citations
14.
Dolstra, O., Marcos Malosetti, Benjamin Kilian, et al.. (2013). Association mapping of salt tolerance in barley (Hordeum vulgare L.). Theoretical and Applied Genetics. 126(9). 2335–2351. 107 indexed citations
15.
Malosetti, Marcos, Jean‐Marcel Ribaut, & Fred A. van Eeuwijk. (2013). The statistical analysis of multi-environment data: modeling genotype-by-environment interaction and its genetic basis. Frontiers in Physiology. 4. 44–44. 351 indexed citations breakdown →
16.
Pasam, Raj, Rajiv Sharma, Marcos Malosetti, et al.. (2012). Genome-wide association studies for agronomical traits in a world wide spring barley collection. BMC Plant Biology. 12(1). 16–16. 287 indexed citations
17.
Pastina, Maria Marta, Marcos Malosetti, Rodrigo Gazaffi, et al.. (2011). A mixed model QTL analysis for sugarcane multiple-harvest-location trial data. Theoretical and Applied Genetics. 124(5). 835–849. 58 indexed citations
18.
Mathews, Ky L., Marcos Malosetti, Scott Chapman, et al.. (2008). Multi-environment QTL mixed models for drought stress adaptation in wheat. Theoretical and Applied Genetics. 117(7). 1077–1091. 146 indexed citations
19.
Malosetti, Marcos, Martin P. Boer, M.C.A.M. Bink, & Fred A. van Eeuwijk. (2006). Multi-trait QTL analysis based on mixed models with parsimonious covariance matrices. Socio-Environmental Systems Modeling. 8 indexed citations
20.
Malosetti, Marcos, T. Abadie, & Silvia Germán. (2000). Comparing strategies for selecting a core subset for the Uruguayan barley collection.. 20–26. 6 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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