Tae‐Ho Ham

1.1k total citations
35 papers, 769 citations indexed

About

Tae‐Ho Ham is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Tae‐Ho Ham has authored 35 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 10 papers in Genetics and 9 papers in Molecular Biology. Recurrent topics in Tae‐Ho Ham's work include GABA and Rice Research (13 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Rice Cultivation and Yield Improvement (9 papers). Tae‐Ho Ham is often cited by papers focused on GABA and Rice Research (13 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Rice Cultivation and Yield Improvement (9 papers). Tae‐Ho Ham collaborates with scholars based in South Korea, China and Philippines. Tae‐Ho Ham's co-authors include Hee‐Jong Koh, Joohyun Lee, Mi‐Ok Woo, Wenzhu Jiang, Sang‐Ho Chu, Jay D. Keasling, Nathan J. Hillson, Joseph Chen, Hector Plahar and Joong Hyoun Chin and has published in prestigious journals such as Nucleic Acids Research, Journal of Agricultural and Food Chemistry and The Plant Journal.

In The Last Decade

Tae‐Ho Ham

34 papers receiving 744 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tae‐Ho Ham South Korea	13	556	277	273	83	68	35	769
Guanjun Gao China	18	1.1k 1.9×	525 1.9×	320 1.2×	125 1.5×	43 0.6×	46	1.2k
Jianmin Wan China	15	659 1.2×	165 0.6×	364 1.3×	91 1.1×	42 0.6×	25	784
Joon‐Seob Eom South Korea	11	1.3k 2.3×	89 0.3×	508 1.9×	129 1.6×	65 1.0×	13	1.4k
Ning Zhao China	22	1.2k 2.2×	89 0.3×	776 2.8×	47 0.6×	36 0.5×	63	1.5k
Junjie Yan China	14	361 0.6×	63 0.2×	520 1.9×	26 0.3×	50 0.7×	45	767
Xiaoming Yang China	17	637 1.1×	182 0.7×	479 1.8×	18 0.2×	21 0.3×	50	868
Wang‐Wei Ye China	12	1.1k 1.9×	497 1.8×	466 1.7×	32 0.4×	24 0.4×	15	1.2k
Nan Hu China	14	662 1.2×	38 0.1×	450 1.6×	62 0.7×	25 0.4×	38	846
Andrea J. Cardinal United States	16	613 1.1×	134 0.5×	130 0.5×	18 0.2×	59 0.9×	30	697

Countries citing papers authored by Tae‐Ho Ham

Since Specialization

Citations

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

Fields of papers citing papers by Tae‐Ho Ham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae‐Ho Ham. 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 Tae‐Ho Ham. The network helps show where Tae‐Ho Ham may publish in the future.

Co-authorship network of co-authors of Tae‐Ho Ham

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kim, Backki, et al.. (2023). Fine-Mapping Analysis of the Genes Associated with Pre-Harvest Sprouting Tolerance in Rice (Oryza sativa L.). Agronomy. 13(3). 818–818. 3 indexed citations

Gupta, Ravi, Cheol Woo Min, Ju‐Young Jung, et al.. (2023). Proteome profiling highlights mechanisms underlying pigment and tocopherol accumulation in red and black rice seeds. PROTEOMICS. 23(12). e2300035–e2300035. 3 indexed citations

Ham, Tae‐Ho, et al.. (2021). Genome-Wide Association Study Reveals the Genetic Basis of Chilling Tolerance in Rice at the Reproductive Stage. Plants. 10(8). 1722–1722. 5 indexed citations

Ham, Tae‐Ho, et al.. (2021). Genome-Wide Association Study Reveals the Genetic Basis of Cold Tolerance in Rice at the Seedling Stage. Agriculture. 11(4). 318–318. 6 indexed citations

Kwon, Soon‐Wook, et al.. (2021). Genome-Wide Association Study for Cold Tolerance in Rice Seedlings under Cold-Water Treatment. Plant Breeding and Biotechnology. 9(4). 345–354. 2 indexed citations

Kwon, Soon-Wook, et al.. (2021). Evaluation of the Rsistant to Bakanae Disease in Korean Rice Landraces (Oryza sativa L.). Plant Breeding and Biotechnology. 9(4). 355–359. 1 indexed citations

Wang, Heng, So‐Yeon Park, Yong‐Chul Kim, et al.. (2020). Analysis of complete chloroplast genome sequence of Korean landrace Cymbidium goeringii. 3 Biotech. 10(1). 29–29. 6 indexed citations

Zhang, Hongjia, et al.. (2020). Detection of Whole-Genome Resequencing-Based QTLs Associated with Pre-Harvest Sprouting in Rice (Oryza sativa L.). Plant Breeding and Biotechnology. 8(4). 396–404. 7 indexed citations

Chung, Ill‐Min, Tae‐Ho Ham, Soon‐Wook Kwon, et al.. (2020). Study of Quantitative Trait Loci (QTLs) Associated with Allelopathic Trait in Rice. Genes. 11(5). 470–470. 10 indexed citations

10.

Chung, Soo Im, Tae‐Ho Ham, & Mi Young Kang. (2019). Effect of Germinated Pigmented Rice “Superjami” on the Glucose Level, Antioxidant Defense System, and Bone Metabolism in Menopausal Rat Model. Nutrients. 11(9). 2184–2184. 8 indexed citations

11.

Wang, Heng, Joohyun Lee, Tae‐Ho Ham, et al.. (2018). Genome-wide association study reveals candidate genes related to low temperature tolerance in rice (Oryza sativa) during germination. 3 Biotech. 8(5). 235–235. 19 indexed citations

12.

Wang, Heng, et al.. (2018). A new SNP in cyOsPPDK gene is associated with floury endosperm in Suweon 542. Molecular Genetics and Genomics. 293(5). 1151–1158. 13 indexed citations

13.

Ham, Tae‐Ho, et al.. (2015). A Rice Variety ‘Superjami 2’, with Large-Grain and High Contents of Cyanidin 3-glucoside. Korean Journal of Breeding Science. 47(3). 299–305. 3 indexed citations

14.

Ham, Tae‐Ho, et al.. (2012). Design, implementation and practice of JBEI-ICE: an open source biological part registry platform and tools. Nucleic Acids Research. 40(18). e141–e141. 143 indexed citations

15.

Lestari, Puji, Tae‐Ho Ham, Mi‐Ok Woo, et al.. (2011). Single Nucleotide Polymorphisms and Haplotype Diversity in Rice Sucrose Synthase 3. Journal of Heredity. 102(6). 735–746. 21 indexed citations

16.

Jiang, Wenzhu, Joohyun Lee, Sang‐Ho Chu, et al.. (2010). Genotype × environment interactions for chilling tolerance of rice recombinant inbred lines under different low temperature environments. Field Crops Research. 117(2-3). 226–236. 12 indexed citations

17.

Rahman, Md Lutfor, Wenzhu Jiang, Sang‐Ho Chu, et al.. (2009). High-resolution mapping of two rice brown planthopper resistance genes, Bph20(t) and Bph21(t), originating from Oryza minuta. Theoretical and Applied Genetics. 119(7). 1237–1246. 128 indexed citations

18.

Piao, Rihua, Wenzhu Jiang, Tae‐Ho Ham, et al.. (2009). Map-based cloning of the ERECT PANICLE 3 gene in rice. Theoretical and Applied Genetics. 119(8). 1497–1506. 74 indexed citations

19.

Qiao, Yongli, Rihua Piao, Wenzhu Jiang, et al.. (2009). Fine Mapping and Candidate Gene Analysis of the Floury Endosperm Gene, FLO(a), in Rice. Molecules and Cells. 29(2). 167–174. 23 indexed citations

20.

Woo, Mi‐Ok, Tae‐Ho Ham, Hyeonso Ji, et al.. (2008). Inactivation of the UGPase1 gene causes genic male sterility and endosperm chalkiness in rice (Oryza sativa L.). The Plant Journal. 54(2). 190–204. 87 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