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Mehul Bhakta

Observed names: Bhakta, Mehul, Bhakta, Mehul S., M Bhakta, M.S. Bhakta, MEHUL BHAKTA, Mehul S Bhakta, Mehul S. Bhakta
ORCID: 0000-0002-7633-810X
Observed ORCID: 0000-0002-7633-810X
OpenAlex ID: A5079337448
Functional deactivations: Change with age and dementia of the Alzheimer type
2003 · Cindy Lustig, Abraham Z. Snyder, et al. · Proceedings of the National Academy of Sciences · 731
Punctuated Distribution of Recombination Hotspots and Demarcation of Pericentromeric Regions in Phaseolus vulgaris L.
2015 · Mehul S. Bhakta, Valerie A. Jones, et al. · PLoS ONE · 46
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A Predictive Model for Time-to-Flowering in the Common Bean Based on QTL and Environmental Variables
2017 · Mehul S Bhakta, Salvador A Gezan, et al. · G3 Genes Genomes Genetics · 39
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Next generation crop models: A modular approach to model early vegetative and reproductive development of the common bean (Phaseolus vulgaris L)
2016 · C. Hwang, M.J. Correll, et al. · Agricultural Systems · 36
Understanding the Complexity of Cold Tolerance in White Clover using Temperature Gradient Locations and a GWAS Approach
2018 · Luis Inostroza, Mehul Bhakta, et al. · The Plant Genome · 35
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From flower to seed: identifying phenological markers and reliable growth functions to model reproductive development in the common bean ( P haseolus vulgaris L .)
2013 · JOSE A. CLAVIJO MICHELANGELI, MEHUL BHAKTA, et al. · Plant Cell & Environment · 26
A dynamic model with QTL covariables for predicting flowering time of common bean (Phaseolus vulgaris) genotypes
2018 · Daniel Wallach, Christopher Hwang, et al. · European Journal of Agronomy · 22
Plastic expression of heterochrony quantitative trait loci ( hQTL s) for leaf growth in the common bean ( P haseolus vulgaris)
2015 · Libo Jiang, Jose A. Clavijo, et al. · New Phytologist · 22
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Incorporating a dynamic gene-based process module into a crop simulation model
2021 · Fabio A A Oliveira, James W Jones, et al. · in silico Plants · 18
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Development of a QTL-environment-based predictive model for node addition rate in common bean
2017 · Li Zhang, Salvador A. Gezan, et al. · Theoretical and Applied Genetics · 12
Cost-effective detection of genome-wide signatures for 2,4-D herbicide resistance adaptation in red clover
2019 · Juliana Benevenuto, Mehul Bhakta, et al. · Scientific Reports · 11
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Dynamic QTL-based ecophysiological models to predict phenotype from genotype and environment data
2022 · C. Eduardo Vallejos, James W. Jones, et al. · BMC Plant Biology · 8
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Dynamic Gene-Based Ecophysiological Models to Predict Phenotype from Genotype and Environment Data
2021 · C. Eduardo Vallejos, James W. Jones, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 3
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Using genome conservation between Lotus japonicus and agronomically important Lotus species for discovering drought tolerance QTLs
2019 · Luis Inostroza, Hernán Acuña, et al. · Euphytica · 2
Modeling Genetic Traits of five Common Bean (Phaseolus vulgaris) Genotypes in Multi-location Trials
2014 · Michelangeli, Ja Clavijo, Kj Boote, et al. · CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) · 1
Dynamic QTL-Based Ecophysiological Models to Predict Phenotype from Genotype and Environment Data Additional Files
2022 · Vallejos, C. Eduardo, W. Jones, James, et al. · Figshare
Punctuated distribution of recombination hotspots and demarcation of pericentromeric regions in Phaseolus vulgaris L.
2014 · Mehul Bhakta, Jones, Valerie, et al. · Figshare
Works count: 20
Citation count: 1,012
H-index: 11
I10-index: 11
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