Hongseok Tae

1.7k total citations
27 papers, 946 citations indexed

About

Hongseok Tae is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Hongseok Tae has authored 27 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Ecology and 5 papers in Genetics. Recurrent topics in Hongseok Tae's work include Genomics and Phylogenetic Studies (8 papers), Cancer Genomics and Diagnostics (4 papers) and Brucella: diagnosis, epidemiology, treatment (4 papers). Hongseok Tae is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Cancer Genomics and Diagnostics (4 papers) and Brucella: diagnosis, epidemiology, treatment (4 papers). Hongseok Tae collaborates with scholars based in United States, South Korea and Egypt. Hongseok Tae's co-authors include Robert E. Settlage, Jeffrey L. Boore, Matthew C. Posewitz, Susan I. Fuerstenberg, Robert E. Jinkerson, Randor Radakovits, Harold R. Garner, Jasmin Bavarva, Lauren J. McIver and Youngik Yang and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Hongseok Tae

27 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hongseok Tae United States	14	568	361	121	86	65	27	946
Flávia Vischi Winck Brazil	17	448 0.8×	174 0.5×	132 1.1×	22 0.3×	150 2.3×	40	783
Jacques Bernillon France	16	222 0.4×	147 0.4×	75 0.6×	81 0.9×	124 1.9×	33	664
Markus Heitzer Germany	10	547 1.0×	325 0.9×	43 0.4×	52 0.6×	58 0.9×	11	687
Taku Chibazakura Japan	21	870 1.5×	137 0.4×	290 2.4×	237 2.8×	116 1.8×	56	1.1k
Blake T. Hovde United States	14	460 0.8×	150 0.4×	81 0.7×	149 1.7×	69 1.1×	31	683
Marie‐Christine Slomianny France	22	656 1.2×	31 0.1×	82 0.7×	60 0.7×	62 1.0×	36	1.1k
J. Armando Casas-Mollano United States	16	911 1.6×	373 1.0×	69 0.6×	88 1.0×	467 7.2×	19	1.3k
Bilha Raboy Israel	15	820 1.4×	87 0.2×	60 0.5×	56 0.7×	58 0.9×	20	967
Martin E. Barrios‐Llerena United Kingdom	15	289 0.5×	91 0.3×	30 0.2×	96 1.1×	65 1.0×	22	594
Juan C. Castro Peru	18	550 1.0×	51 0.1×	84 0.7×	76 0.9×	105 1.6×	63	1.0k

Countries citing papers authored by Hongseok Tae

Since Specialization

Citations

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

Fields of papers citing papers by Hongseok Tae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongseok Tae

This figure shows the co-authorship network connecting the top 25 collaborators of Hongseok Tae. A scholar is included among the top collaborators of Hongseok Tae 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 Hongseok Tae. Hongseok Tae 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

Saul, Michelle, Kelsey Poorman, Hongseok Tae, et al.. (2020). Population bias in somatic measurement of microsatellite instability status. Cancer Medicine. 9(17). 6452–6460. 3 indexed citations

Kang, Lin, Robert E. Settlage, Hongseok Tae, et al.. (2016). Genomic Signatures of Speciation in Sympatric and Allopatric Hawaiian Picture-WingedDrosophila. Genome Biology and Evolution. 8(5). 1482–1488. 18 indexed citations

Fonville, Natalie C., et al.. (2016). Genomic leftovers: identifying novel microsatellites, over-represented motifs and functional elements in the human genome. Scientific Reports. 6(1). 27722–27722. 4 indexed citations

Tae, Hongseok, Enusha Karunasena, Jasmin Bavarva, Lauren J. McIver, & Harold R. Garner. (2014). Large scale comparison of non-human sequences in human sequencing data. Genomics. 104(6). 453–458. 22 indexed citations

Tae, Hongseok, Enusha Karunasena, Jasmin Bavarva, & Harold R. Garner. (2014). Updating microbial genomic sequences: improving accuracy & innovation. BioData Mining. 7(1). 1 indexed citations

Vaksman, Zalman, Natalie C. Fonville, Hongseok Tae, & Harold R. Garner. (2014). Exome-Wide Somatic Microsatellite Variation Is Altered in Cells with DNA Repair Deficiencies. PLoS ONE. 9(11). e110263–e110263. 4 indexed citations

Tae, Hongseok, K. Wyatt McMahon, Robert E. Settlage, Jasmin Bavarva, & Harold R. Garner. (2013). ReviSTER: an automated pipeline to revise misaligned reads to simple tandem repeats. Bioinformatics. 29(14). 1734–1741. 13 indexed citations

Bavarva, Jasmin, Hongseok Tae, Robert E. Settlage, & Harold R. Garner. (2013). Characterizing the Genetic Basis for Nicotine Induced Cancer Development: A Transcriptome Sequencing Study. PLoS ONE. 8(6). e67252–e67252. 20 indexed citations

Pei, Lirong, Jeong‐Hyeon Choi, Jimei Liu, et al.. (2012). Genome-wide DNA methylation analysis reveals novel epigenetic changes in chronic lymphocytic leukemia. Epigenetics. 7(6). 567–578. 76 indexed citations

10.

Biedler, James K., Wanqi Hu, Hongseok Tae, & Zhijian Tu. (2012). Identification of Early Zygotic Genes in the Yellow Fever Mosquito Aedes aegypti and Discovery of a Motif Involved in Early Zygotic Genome Activation. PLoS ONE. 7(3). e33933–e33933. 41 indexed citations

11.

Shallom, Shamira J., Hongseok Tae, Luciana Sarmento, et al.. (2012). Comparison of genome diversity of Brucella spp. field isolates using Universal Bio-signature Detection Array and whole genome sequencing reveals limitations of current diagnostic methods. Gene. 509(1). 142–148. 10 indexed citations

12.

Radakovits, Randor, Robert E. Jinkerson, Susan I. Fuerstenberg, et al.. (2012). Draft genome sequence and genetic transformation of the oleaginous alga Nannochloropsis gaditana. Nature Communications. 3(1). 686–686. 400 indexed citations

13.

Tae, Hongseok, Robert E. Settlage, Shamira J. Shallom, et al.. (2012). Improved variation calling via an iterative backbone remapping and local assembly method for bacterial genomes. Genomics. 100(5). 271–276. 4 indexed citations

14.

Tae, Hongseok, et al.. (2012). ESTclean: a cleaning tool for next-gen transcriptome shotgun sequencing. BMC Bioinformatics. 13(1). 247–247. 8 indexed citations

15.

Galindo, Cristi L., Lauren J. McIver, Hongseok Tae, et al.. (2011). Sporadic breast cancer patients' germline DNA exhibit an AT‐rich microsatellite signature. Genes Chromosomes and Cancer. 50(4). 275–283. 12 indexed citations

16.

Tae, Hongseok, Shamira J. Shallom, Robert E. Settlage, et al.. (2011). Revised Genome Sequence of Brucella suis 1330. Journal of Bacteriology. 193(22). 6410–6410. 11 indexed citations

17.

Kijimoto, Teiya, Emilie C. Snell‐Rood, Hongseok Tae, et al.. (2010). Gene discovery in the horned beetle Onthophagus taurus. BMC Genomics. 11(1). 703–703. 34 indexed citations

18.

Schwartz, Tonia S., Hongseok Tae, Youngik Yang, et al.. (2010). A garter snake transcriptome: pyrosequencing, de novo assembly, and sex-specific differences. BMC Genomics. 11(1). 694–694. 59 indexed citations

19.

Tae, Hongseok, et al.. (2009). MapsiDB: an integrated web database for type I polyketide synthases. Bioprocess and Biosystems Engineering. 32(6). 723–727. 17 indexed citations

20.

Tae, Hongseok, et al.. (2007). ChroView: A Trace Viewer for Browsing and Editing Chromatogram files. Genomics & Informatics. 5(1). 30–31. 2 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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