| Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels H Li, Z Peng, X Yang, W Wang, J Fu, J Wang, Y Han, Y Chai, T Guo, ... Nature genetics 45 (1), 43-50, 2013 | 792 | 2013 |
| De novo assembly, annotation, and comparative analysis of 26 diverse maize genomes MB Hufford, AS Seetharam, MR Woodhouse, KM Chougule, S Ou, J Liu, ... Science 373 (6555), 655-662, 2021 | 311 | 2021 |
| Genomic prediction contributing to a promising global strategy to turbocharge gene banks X Yu, X Li, T Guo, C Zhu, Y Wu, SE Mitchell, KL Roozeboom, D Wang, ... Nature plants 2 (10), 1-7, 2016 | 198 | 2016 |
| Genomic and environmental determinants and their interplay underlying phenotypic plasticity X Li, T Guo, Q Mu, X Li, J Yu Proceedings of the National Academy of Sciences 115 (26), 6679-6684, 2018 | 167 | 2018 |
| Genetic basis of grain yield heterosis in an “immortalized F2” maize population T Guo, N Yang, H Tong, Q Pan, X Yang, J Tang, J Wang, J Li, J Yan Theoretical and applied genetics 127, 2149-2158, 2014 | 82 | 2014 |
| Optimal designs for genomic selection in hybrid crops T Guo, X Yu, X Li, H Zhang, C Zhu, S Flint-Garcia, MD McMullen, ... Molecular plant 12 (3), 390-401, 2019 | 74 | 2019 |
| Dynamic effects of interacting genes underlying rice flowering-time phenotypic plasticity and global adaptation T Guo, Q Mu, J Wang, AE Vanous, A Onogi, H Iwata, X Li, J Yu Genome Research 30 (5), 673-683, 2020 | 62 | 2020 |
| An integrated framework reinstating the environmental dimension for GWAS and genomic selection in crops X Li, T Guo, J Wang, WA Bekele, S Sukumaran, AE Vanous, JP McNellie, ... Molecular plant 14 (6), 874-887, 2021 | 61 | 2021 |
| Allelochemicals targeted to balance competing selections in African agroecosystems Y Wu, T Guo, Q Mu, J Wang, X Li, Y Wu, B Tian, ML Wang, G Bai, ... Nature plants 5 (12), 1229-1236, 2019 | 49 | 2019 |
| Performance prediction of F1 hybrids between recombinant inbred lines derived from two elite maize inbred lines T Guo, H Li, J Yan, J Tang, J Li, Z Zhang, L Zhang, J Wang Theoretical and applied genetics 126, 189-201, 2013 | 47 | 2013 |
| Phenotypic plasticity in plant height shaped by interaction between genetic loci and diurnal temperature range Q Mu, T Guo, X Li, J Yu New Phytologist 233 (4), 1768-1779, 2022 | 32 | 2022 |
| Genomic prediction contributing to a promising global strategy to turbocharge gene banks. Nat Plants 2: 16150 X Yu, X Li, T Guo, C Zhu, Y Wu, SE Mitchell, KL Roozeboom, D Wang, ... | 30 | 2016 |
| The strategy and potential utilization of temperate germplasm for tropical germplasm improvement: a case study of maize (Zea mays L.) W Wen, T Guo, VHC Tovar, H Li, J Yan, S Taba Molecular breeding 29, 951-962, 2012 | 24 | 2012 |
| Genomic prediction of maize microphenotypes provides insights for optimizing selection and mining diversity X Yu, S Leiboff, X Li, T Guo, N Ronning, X Zhang, GJ Muehlbauer, ... Plant Biotechnology Journal 18 (12), 2456-2465, 2020 | 21 | 2020 |
| Controlling population structure in the genomic prediction of tropical maize hybrids DH Lyra, ÍSC Granato, PPP Morais, FC Alves, ARM dos Santos, X Yu, ... Molecular breeding 38, 1-17, 2018 | 21 | 2018 |
| Machine learning for predicting phenotype from genotype and environment T Guo, X Li Current Opinion in Biotechnology 79, 102853, 2023 | 17 | 2023 |
| Target-oriented prioritization: targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding W Yang, T Guo, J Luo, R Zhang, J Zhao, ML Warburton, Y Xiao, J Yan Genome Biology 23 (1), 80, 2022 | 14 | 2022 |
| Genetic dissection of seasonal vegetation index dynamics in maize through aerial based high‐throughput phenotyping J Wang, X Li, T Guo, MJ Dzievit, X Yu, P Liu, KP Price, J Yu The plant genome 14 (3), e20155, 2021 | 11 | 2021 |
| Three types of genes underlying the Gametophyte factor1 locus cause unilateral cross incompatibility in maize Y Wang, W Li, L Wang, J Yan, G Lu, N Yang, J Xu, Y Wang, S Gui, G Chen, ... Nature Communications 13 (1), 4498, 2022 | 9 | 2022 |
| Genetics-inspired data-driven approaches explain and predict crop performance fluctuations attributed to changing climatic conditions X Li, T Guo, G Bai, Z Zhang, D See, J Marshall, KA Garland-Campbell, ... Molecular Plant 15 (2), 203-206, 2022 | 9 | 2022 |
