| Year |
Citation |
Score |
| 2020 |
Kim JH, Park JS, Lee CY, Jeong MG, Xu JL, Choi Y, Jung HW, Choi HK. Dissecting seed pigmentation-associated genomic loci and genes by employing dual approaches of reference-based and k-mer-based GWAS with 438 Glycine accessions. Plos One. 15: e0243085. PMID 33259564 DOI: 10.1371/journal.pone.0243085 |
0.364 |
|
| 2019 |
Ban YW, Roy NS, Yang H, Choi HK, Kim JH, Babu P, Ha KS, Ham JK, Park KC, Choi IY. Comparative transcriptome analysis reveals higher expression of stress and defense responsive genes in dwarf soybeans obtained from the crossing of G. max and G. soja. Genes & Genomics. PMID 31363917 DOI: 10.1007/S13258-019-00846-2 |
0.362 |
|
| 2018 |
Choi HK. Translational genomics and multi-omics integrated approaches as a useful strategy for crop breeding. Genes & Genomics. PMID 30353370 DOI: 10.1007/S13258-018-0751-8 |
0.416 |
|
| 2017 |
Lee C, Yu D, Choi HK, Kim RW. Reconstruction of a composite comparative map composed of ten legume genomes. Genes & Genomics. 39: 111-119. PMID 28090266 DOI: 10.1007/S13258-016-0481-8 |
0.462 |
|
| 2016 |
Chandran AK, Lee GS, Yoo YH, Yoon UH, Ahn BO, Yun DW, Kim JH, Choi HK, An G, Kim TH, Jung KH. Functional classification of rice flanking sequence tagged genes using MapMan terms and global understanding on metabolic and regulatory pathways affected by dxr mutant having defects in light response. Rice (New York, N.Y.). 9: 17. PMID 27076183 DOI: 10.1186/S12284-016-0089-2 |
0.417 |
|
| 2016 |
Lee C, Yu D, Choi HK, Kim RW. Reconstruction of a composite comparative map composed of ten legume genomes Genes and Genomics. 1-9. DOI: 10.1007/s13258-016-0481-8 |
0.389 |
|
| 2015 |
Kim JH, Lee C, Hyung D, Jo YJ, Park JS, Cook DR, Choi HK. CSGM Designer: a platform for designing cross-species intron-spanning genic markers linked with genome information of legumes. Plant Methods. 11: 30. PMID 25908937 DOI: 10.1186/S13007-015-0074-6 |
0.445 |
|
| 2014 |
Hyung D, Lee C, Kim JH, Yoo D, Seo YS, Jeong SC, Lee JH, Chung Y, Jung KH, Cook DR, Choi HK. Cross-family translational genomics of abiotic stress-responsive genes between Arabidopsis and Medicago truncatula. Plos One. 9: e91721. PMID 24675968 DOI: 10.1371/Journal.Pone.0091721 |
0.469 |
|
| 2014 |
Chung WH, Jeong N, Kim J, Lee WK, Lee YG, Lee SH, Yoon W, Kim JH, Choi IY, Choi HK, Moon JK, Kim N, Jeong SC. Population structure and domestication revealed by high-depth resequencing of Korean cultivated and wild soybean genomes. Dna Research : An International Journal For Rapid Publication of Reports On Genes and Genomes. 21: 153-67. PMID 24271940 DOI: 10.1093/Dnares/Dst047 |
0.454 |
|
| 2013 |
Jung KH, Gho HJ, Giong HK, Chandran AK, Nguyen QN, Choi H, Zhang T, Wang W, Kim JH, Choi HK, An G. Genome-wide identification and analysis of Japonica and Indica cultivar-preferred transcripts in rice using 983 Affymetrix array data. Rice (New York, N.Y.). 6: 19. PMID 24280533 DOI: 10.1186/1939-8433-6-19 |
0.435 |
|
| 2013 |
Choi H, Lee C, Kim G, Nam Y, Schraufnagle KR, Chung Y, Lee J, Kim D, Jung H. Predicting family-wide consensus sequence of pre-mRNA splicing signals in legumes and their potential utility as phylogenetic markers Plant Biotechnology Reports. 7: 193-203. DOI: 10.1007/S11816-012-0250-3 |
0.417 |
|
| 2013 |
Nguyen ML, Kim GB, Hyun SH, Lee SY, Lee CY, Choi HK, Nam YW. Physiological and metabolomic analysis of a knockout mutant suggests a critical role of MtP5CS3 gene in osmotic stress tolerance of Medicago truncatula Euphytica. 193: 101-120. DOI: 10.1007/S10681-013-0957-4 |
0.309 |
|
| 2010 |
Nayak SN, Zhu H, Varghese N, Datta S, Choi HK, Horres R, Jüngling R, Singh J, Kishor PB, Sivaramakrishnan S, Hoisington DA, Kahl G, Winter P, Cook DR, Varshney RK. Integration of novel SSR and gene-based SNP marker loci in the chickpea genetic map and establishment of new anchor points with Medicago truncatula genome. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 120: 1415-41. PMID 20098978 DOI: 10.1007/S00122-010-1265-1 |
0.5 |
|
| 2009 |
Chung E, Cho CW, Yun BH, Choi HK, So HA, Lee SW, Lee JH. Molecular cloning and characterization of the soybean DEAD-box RNA helicase gene induced by low temperature and high salinity stress. Gene. 443: 91-9. PMID 19463922 DOI: 10.1016/J.Gene.2009.05.005 |
0.337 |
|
| 2006 |
Choi HK, Luckow MA, Doyle J, Cook DR. Development of nuclear gene-derived molecular markers linked to legume genetic maps. Molecular Genetics and Genomics : Mgg. 276: 56-70. PMID 16642337 DOI: 10.1007/S00438-006-0118-8 |
0.484 |
|
| 2006 |
Mun JH, Kim DJ, Choi HK, Gish J, Debellé F, Mudge J, Denny R, Endré G, Saurat O, Dudez AM, Kiss GB, Roe B, Young ND, Cook DR. Distribution of microsatellites in the genome of Medicago truncatula: a resource of genetic markers that integrate genetic and physical maps. Genetics. 172: 2541-55. PMID 16489220 DOI: 10.1534/Genetics.105.054791 |
0.385 |
|
| 2005 |
Zhu H, Choi HK, Cook DR, Shoemaker RC. Bridging model and crop legumes through comparative genomics. Plant Physiology. 137: 1189-96. PMID 15824281 DOI: 10.1104/Pp.104.058891 |
0.474 |
|
| 2004 |
Choi HK, Mun JH, Kim DJ, Zhu H, Baek JM, Mudge J, Roe B, Ellis N, Doyle J, Kiss GB, Young ND, Cook DR. Estimating genome conservation between crop and model legume species. Proceedings of the National Academy of Sciences of the United States of America. 101: 15289-94. PMID 15489274 DOI: 10.1073/Pnas.0402251101 |
0.559 |
|
| 2004 |
Choi HK, Kim D, Uhm T, Limpens E, Lim H, Mun JH, Kalo P, Penmetsa RV, Seres A, Kulikova O, Roe BA, Bisseling T, Kiss GB, Cook DR. A sequence-based genetic map of Medicago truncatula and comparison of marker colinearity with M. sativa. Genetics. 166: 1463-502. PMID 15082563 DOI: 10.1534/Genetics.166.3.1463 |
0.421 |
|
| 2003 |
Zhu H, Kim DJ, Baek JM, Choi HK, Ellis LC, Küester H, McCombie WR, Peng HM, Cook DR. Syntenic relationships between Medicago truncatula and Arabidopsis reveal extensive divergence of genome organization. Plant Physiology. 131: 1018-26. PMID 12644654 DOI: 10.1104/Pp.102.016436 |
0.566 |
|
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