Tae‐Kun Seo

998 total citations
15 papers, 739 citations indexed

About

Tae‐Kun Seo is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Tae‐Kun Seo has authored 15 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Tae‐Kun Seo's work include Genomics and Phylogenetic Studies (12 papers), Genetic diversity and population structure (8 papers) and Evolution and Genetic Dynamics (4 papers). Tae‐Kun Seo is often cited by papers focused on Genomics and Phylogenetic Studies (12 papers), Genetic diversity and population structure (8 papers) and Evolution and Genetic Dynamics (4 papers). Tae‐Kun Seo collaborates with scholars based in Japan, United States and South Korea. Tae‐Kun Seo's co-authors include Hirohisa Kishino, Jeffrey L. Thorne, Jun‐Im Song, Eunji Park, Yong‐Jin Won, Dae‐Sik Hwang, Jae‐Seong Lee, Masami Hasegawa, Wenheng Zhang and D. Travis Thomas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Genetics.

In The Last Decade

Tae‐Kun Seo

15 papers receiving 728 citations

Peers

Countries citing papers authored by Tae‐Kun Seo

Since Specialization

Citations

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

Fields of papers citing papers by Tae‐Kun Seo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae‐Kun Seo

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Correlations between alignment gaps and nucleotide substitution or amino acid replacement 2022 ·Proceedings of the National Academy of Sciences ·Tae‐Kun Seo, Benjamin D. Redelings, Jeffrey L. Thorne	1
2	Measuring Phylogenetic Information of Incomplete Sequence Data 2021 ·Systematic Biology ·Tae‐Kun Seo, Olivier Gascuel, Jeffrey L. Thorne	1
3	Information Criteria for Comparing Partition Schemes 2017 ·Systematic Biology ·Tae‐Kun Seo, Jeffrey L. Thorne	14
4	Mitochondrial genomes advance phylogenetic hypotheses for Tylenchina (Nematoda: Chromadorea) 2015 ·Zoologica Scripta ·Jiyeon Kim, Sang‐Hwa Lee, (unknown), Tae Ho Kim, (unknown), (unknown), Sanghee Kim, Tae‐Kun Seo, Chungoo Park, J. G. Baldwin, Steven A. Nadler, Joong‐Ki Park	22
5	Lampisiphonia ibericagen. et sp. nov. (Ceramiales, Rhodophyta) based on morphology and molecular evidence 2013 ·Phycologia ·Ignacio Bárbara, Han‐Gu Choi, (unknown), Pilar Díaz‐Tapia, J.M. Gorostiaga, Tae‐Kun Seo, (unknown), Estíbaliz Berecibar	25
6	Estimation of divergence times in cnidarian evolution based on mitochondrial protein-coding genes and the fossil record 2011 ·Molecular Phylogenetics and Evolution ·Eunji Park, Dae‐Sik Hwang, Jae‐Seong Lee, Jun‐Im Song, Tae‐Kun Seo, Yong‐Jin Won	181
7	Classification of Nucleotide Sequences Using Support Vector Machines 2010 ·Journal of Molecular Evolution ·Tae‐Kun Seo	22
8	Statistical Comparison of Nucleotide, Amino Acid, and Codon Substitution Models for Evolutionary Analysis of Protein-Coding Sequences 2009 ·Systematic Biology ·Tae‐Kun Seo, Hirohisa Kishino	36
9	Calculating Bootstrap Probabilities of Phylogeny Using Multilocus Sequence Data 2008 ·Molecular Biology and Evolution ·Tae‐Kun Seo	162
10	Rates of nucleotide substitution in Cornaceae (Cornales)—Pattern of variation and underlying causal factors 2008 ·Molecular Phylogenetics and Evolution ·Qiu‐Yun Xiang, Jeffrey L. Thorne, Tae‐Kun Seo, Wenheng Zhang, D. Travis Thomas, Robert E. Ricklefs	32
11	Synonymous Substitutions Substantially Improve Evolutionary Inference from Highly Diverged Proteins 2008 ·Systematic Biology ·Tae‐Kun Seo, Hirohisa Kishino	39
12	Incorporating gene-specific variation when inferring and evaluating optimal evolutionary tree topologies from multilocus sequence data 2005 ·Proceedings of the National Academy of Sciences ·Tae‐Kun Seo, Hirohisa Kishino, Jeffrey L. Thorne	50
13	Estimating Absolute Rates of Synonymous and Nonsynonymous Nucleotide Substitution in Order to Characterize Natural Selection and Date Species Divergences 2004 ·Molecular Biology and Evolution ·Tae‐Kun Seo	57
14	A viral sampling design for testing the molecular clock and for estimating evolutionary rates and divergence times 2002 ·Bioinformatics ·Tae‐Kun Seo, (unknown), Masami Hasegawa, Hirohisa Kishino	40
15	Estimation of Effective Population Size of HIV-1 Within a Host: A Pseudomaximum-Likelihood Approach 2002 ·Genetics ·Tae‐Kun Seo, Jeffrey L. Thorne, Masami Hasegawa, Hirohisa Kishino	57

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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