Gota Morota

2.5k total citations
99 papers, 1.5k citations indexed

About

Gota Morota is a scholar working on Genetics, Plant Science and Animal Science and Zoology. According to data from OpenAlex, Gota Morota has authored 99 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Genetics, 49 papers in Plant Science and 22 papers in Animal Science and Zoology. Recurrent topics in Gota Morota's work include Genetic Mapping and Diversity in Plants and Animals (56 papers), Genetic and phenotypic traits in livestock (54 papers) and Genetics and Plant Breeding (29 papers). Gota Morota is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (56 papers), Genetic and phenotypic traits in livestock (54 papers) and Genetics and Plant Breeding (29 papers). Gota Morota collaborates with scholars based in United States, Brazil and United Kingdom. Gota Morota's co-authors include Daniel Gianola, Harkamal Walia, Malachy T. Campbell, Guilherme J. M. Rosa, Mehdi Momen, Masanori Koyama, Rostam Abdollahi-Arpanahi, Ricardo Vieira Ventura, Samodha C. Fernando and Fabyano Fonseca e Silva and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Gota Morota

89 papers receiving 1.5k citations

Peers

Gota Morota
Ricardo Vieira Ventura Brazil
Fabyano Fonseca e Silva Brazil
Kadir Kızılkaya United States
Corrado Dimauro Italy
Zhiquan Wang China
Gábor Mészáros Austria
Hinayah Rojas de Oliveira United States
Rodrigo da Costa Gomes Brazil
Jérémie Vandenplas Netherlands
Birgit Gredler Switzerland
Ricardo Vieira Ventura Brazil
Gota Morota
Citations per year, relative to Gota Morota Gota Morota (= 1×) peers Ricardo Vieira Ventura

Countries citing papers authored by Gota Morota

Since Specialization
Citations

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

Fields of papers citing papers by Gota Morota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gota Morota

This figure shows the co-authorship network connecting the top 25 collaborators of Gota Morota. A scholar is included among the top collaborators of Gota Morota 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 Gota Morota. Gota Morota 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.
Xuan, Jianhua, et al.. (2025). Industry-scale prediction of video-derived pig body weight using efficient convolutional neural networks and vision transformers. Biosystems Engineering. 257. 104243–104243. 1 indexed citations
2.
Maurer, John J., Ying Cheng, Adriana Ayres Pedroso, et al.. (2024). Peeling back the many layers of competitive exclusion. Frontiers in Microbiology. 15. 1342887–1342887. 2 indexed citations
3.
Morota, Gota, et al.. (2024). Retrospective Single Nucleotide Polymorphism Analysis of Host Resistance and Susceptibility to Ovine Johne’s Disease Using Restored FFPE DNA. International Journal of Molecular Sciences. 25(14). 7748–7748.
4.
5.
Azevedo, Camila Ferreira, Ana Carolina Campana Nascimento, Mehdi Momen, et al.. (2023). Genome-wide association study for morphological, physiological, and productive traits in Coffea arabica using structural equation models. Tree Genetics & Genomes. 19(3). 4 indexed citations
6.
7.
Fernandes, Samuel B., et al.. (2022). Assessment of two statistical approaches for variance genome-wide association studies in plants. Heredity. 129(2). 93–102. 2 indexed citations
8.
Pegolo, Sara, Gota Morota, Vittoria Bisutti, et al.. (2021). Structural equation modeling for unraveling the multivariate genomic architecture of milk proteins in dairy cattle. Journal of Dairy Science. 104(5). 5705–5718. 11 indexed citations
9.
Mota, Lúcio Flávio Macêdo, Sara Pegolo, Gota Morota, et al.. (2021). Comparison of Single-Breed and Multi-Breed Training Populations for Infrared Predictions of Novel Phenotypes in Holstein Cows. Animals. 11(7). 1993–1993. 6 indexed citations
10.
Morota, Gota, Hao Cheng, Dianne Cook, & Emi Tanaka. (2021). ASAS-NANP SYMPOSIUM: prospects for interactive and dynamic graphics in the era of data-rich animal science1. Journal of Animal Science. 99(2). 16 indexed citations
11.
Campbell, Malachy T., Alexandre Grondin, Harkamal Walia, & Gota Morota. (2020). Leveraging genome-enabled growth models to study shoot growth responses to water deficit in rice. Journal of Experimental Botany. 71(18). 5669–5679. 15 indexed citations
12.
Wang, Zigui, Deborah V. Chapman, Gota Morota, & Hao Cheng. (2020). A Multiple-Trait Bayesian Variable Selection Regression Method for Integrating Phenotypic Causal Networks in Genome-Wide Association Studies. G3 Genes Genomes Genetics. 10(12). 4439–4448. 9 indexed citations
13.
Pegolo, Sara, Mehdi Momen, Gota Morota, et al.. (2020). Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle. Scientific Reports. 10(1). 7751–7751. 25 indexed citations
14.
Momen, Mehdi, Malachy T. Campbell, Harkamal Walia, & Gota Morota. (2019). Predicting Longitudinal Traits Derived from High-Throughput Phenomics in Contrasting Environments Using Genomic Legendre Polynomials and B-Splines. G3 Genes Genomes Genetics. 9(10). 3369–3380. 23 indexed citations
15.
Campbell, Malachy T., et al.. (2019). Genomic Bayesian Confirmatory Factor Analysis and Bayesian Network To Characterize a Wide Spectrum of Rice Phenotypes. G3 Genes Genomes Genetics. 9(6). 1975–1986. 21 indexed citations
16.
Spangler, Matthew L, et al.. (2018). Stronger measures of genomic connectedness enhance prediction accuracies across management units. Proceedings of the World Congress on Genetics Applied to Livestock Production. 406. 1 indexed citations
17.
Morota, Gota, Timothy Beissinger, & Francisco Peñagaricano. (2016). MeSH-Informed Enrichment Analysis and MeSH-Guided Semantic Similarity Among Functional Terms and Gene Products in Chicken. G3 Genes Genomes Genetics. 6(8). 2447–2453. 8 indexed citations
18.
Valente, B.D., Gota Morota, Francisco Peñagaricano, et al.. (2015). The Causal Meaning of Genomic Predictors and How It Affects Construction and Comparison of Genome-Enabled Selection Models. Genetics. 200(2). 483–494. 14 indexed citations
19.
Morota, Gota, et al.. (2015). MeSH ORA framework: R/Bioconductor\npackages to support MeSH over-representation\nanalysis. Insecta mundi. 34 indexed citations
20.
Gianola, Daniel, Gota Morota, & José Crossa. (2014). Genome-enabled Prediction of Complex Traits with Kernel Methods: What Have We Learned?. Proceedings of the World Congress on Genetics Applied to Livestock Production. 212. 14 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ricardo Vieira Ventura Breakdown of academic impact, for papers by Fabyano Fonseca e Silva Breakdown of academic impact, for papers by Kadir Kızılkaya Breakdown of academic impact, for papers by Corrado Dimauro Breakdown of academic impact, for papers by Zhiquan Wang Breakdown of academic impact, for papers by Gábor Mészáros Breakdown of academic impact, for papers by Hinayah Rojas de Oliveira Breakdown of academic impact, for papers by Rodrigo da Costa Gomes Breakdown of academic impact, for papers by Jérémie Vandenplas Breakdown of academic impact, for papers by Birgit Gredler
Rankless by CCL
2026