Malachy T. Campbell

1.3k total citations
29 papers, 826 citations indexed

About

Malachy T. Campbell is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Malachy T. Campbell has authored 29 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 21 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Malachy T. Campbell's work include Genetic Mapping and Diversity in Plants and Animals (19 papers), Genetic and phenotypic traits in livestock (14 papers) and Genetics and Plant Breeding (14 papers). Malachy T. Campbell is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (19 papers), Genetic and phenotypic traits in livestock (14 papers) and Genetics and Plant Breeding (14 papers). Malachy T. Campbell collaborates with scholars based in United States, Australia and France. Malachy T. Campbell's co-authors include Harkamal Walia, Gota Morota, Chi Zhang, Bettina Berger, Chris Brien, Qian Du, Mehdi Momen, Greg R. Kruger, Dong Wang and Kan Liu and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Genetics.

In The Last Decade

Malachy T. Campbell

28 papers receiving 810 citations

Peers

Malachy T. Campbell

GENET

ECOLO

ACS

Karansher Singh Sandhu United States

Andrés Gordillo Germany

Gregorio Alvarado Mexico

Renaud Rincent France

Raj Pasam Australia

Addie Thompson United States

Philomin Juliana Mexico

Daniela Bustos‐Korts Netherlands

Sébastien Tisné France

Stephanie Saadé Saudi Arabia

Karansher Singh Sandhu United States

Malachy T. Campbell

852 ×1.2

374 ×1.0

GENET

121 ×1.0

130 ×1.4

ECOLO

93 ×1.5

ACS

Citations per year, relative to Malachy T. Campbell Malachy T. Campbell (= 1×) peers Karansher Singh Sandhu

Countries citing papers authored by Malachy T. Campbell

Since Specialization

Citations

This map shows the geographic impact of Malachy T. Campbell'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 Malachy T. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malachy T. Campbell more than expected).

Fields of papers citing papers by Malachy T. Campbell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malachy T. Campbell. 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 Malachy T. Campbell. The network helps show where Malachy T. Campbell may publish in the future.

Co-authorship network of co-authors of Malachy T. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Malachy T. Campbell. A scholar is included among the top collaborators of Malachy T. Campbell 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 Malachy T. Campbell. Malachy T. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Campbell, Malachy T., Haixiao Hu, Linxing Yao, et al.. (2023). Genomic prediction of seed nutritional traits in biparental families of oat ( Avena sativa ). The Plant Genome. 16(4). e20370–e20370. 3 indexed citations

Campbell, Malachy T., Haixiao Hu, Melanie Caffe, et al.. (2022). Generalizable approaches for genomic prediction of metabolites in plants. The Plant Genome. 15(2). e20205–e20205. 7 indexed citations

Morota, Gota, Diego Jarquín, Malachy T. Campbell, & Hiroyoshi Iwata. (2022). Statistical Methods for the Quantitative Genetic Analysis of High-Throughput Phenotyping Data. Methods in molecular biology. 2539. 269–296. 5 indexed citations

Hu, Haixiao, Malachy T. Campbell, Corey D. Broeckling, et al.. (2021). Selection for seed size has uneven effects on specialized metabolite abundance in oat ( Avena sativa L.). G3 Genes Genomes Genetics. 12(3). 9 indexed citations

Campbell, Malachy T., Haixiao Hu, Trevor H. Yeats, et al.. (2021). Translating insights from the seed metabolome into improved prediction for lipid-composition traits in oat (Avena sativaL.). Genetics. 217(3). 14 indexed citations

Yu, Huihui, Qian Du, Malachy T. Campbell, et al.. (2021). Genome‐wide discovery of natural variation in pre‐mRNA splicing and prioritising causal alternative splicing to salt stress response in rice. New Phytologist. 230(3). 1273–1287. 31 indexed citations

Hu, Haixiao, Malachy T. Campbell, Trevor H. Yeats, et al.. (2021). Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations. Theoretical and Applied Genetics. 134(12). 4043–4054. 29 indexed citations

Campbell, Malachy T., Haixiao Hu, Trevor H. Yeats, et al.. (2021). Improving Genomic Prediction for Seed Quality Traits in Oat (Avena sativa L.) Using Trait-Specific Relationship Matrices. Frontiers in Genetics. 12. 643733–643733. 14 indexed citations

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

10.

Momen, Mehdi, et al.. (2020). Multi-trait random regression models increase genomic prediction accuracy for a temporal physiological trait derived from high-throughput phenotyping. PLoS ONE. 15(2). e0228118–e0228118. 22 indexed citations

11.

Campbell, Malachy T., Qian Du, Kan Liu, et al.. (2020). Characterization of the transcriptional divergence between the subspecies of cultivated rice (Oryza sativa). BMC Genomics. 21(1). 394–394. 19 indexed citations

12.

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

13.

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

14.

Hussain, Waseem, Malachy T. Campbell, Harkamal Walia, & Gota Morota. (2018). ShinyAIM: Shiny‐based application of interactive Manhattan plots for longitudinal genome‐wide association studies. Plant Direct. 2(10). e00091–e00091. 8 indexed citations

15.

Campbell, Malachy T., Harkamal Walia, & Gota Morota. (2018). Utilizing random regression models for genomic prediction of a longitudinal trait derived from high‐throughput phenotyping. Plant Direct. 2(9). e00080–e00080. 46 indexed citations

16.

Campbell, Malachy T., Nonoy Bandillo, Sandeep Sharma, et al.. (2017). Allelic variants of OsHKT1;1 underlie the divergence between indica and japonica subspecies of rice (Oryza sativa) for root sodium content. PLoS Genetics. 13(6). e1006823–e1006823. 89 indexed citations

17.

Campbell, Malachy T., et al.. (2016). Image Harvest: an open-source platform for high-throughput plant image processing and analysis. Journal of Experimental Botany. 67(11). 3587–3599. 54 indexed citations

18.

Campbell, Malachy T., et al.. (2015). Integrating Image-Based Phenomics and Association Analysis to Dissect the Genetic Architecture of Temporal Salinity Responses in Rice. PLANT PHYSIOLOGY. 168(4). 1476–1489. 124 indexed citations

19.

Campbell, Malachy T., Christopher A. Proctor, Yongchao Dou, et al.. (2015). Genetic and Molecular Characterization of Submergence Response Identifies Subtol6 as a Major Submergence Tolerance Locus in Maize. PLoS ONE. 10(3). e0120385–e0120385. 63 indexed citations

20.

Noakes, M., et al.. (2000). The chicken CLOCK gene maps to chromosome 4. Animal Genetics. 31(5). 344–344. 5 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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