Tae-Hyuk Ahn

57 total papers · 1.6k total citations
42 papers, 985 citations indexed

About

Tae-Hyuk Ahn is a scholar working on Molecular Biology, Artificial Intelligence and Immunology. According to data from OpenAlex, Tae-Hyuk Ahn has authored 42 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Immunology. Recurrent topics in Tae-Hyuk Ahn's work include Genomics and Phylogenetic Studies (13 papers), Gene Regulatory Network Analysis (10 papers) and Gut microbiota and health (7 papers). Tae-Hyuk Ahn is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Gene Regulatory Network Analysis (10 papers) and Gut microbiota and health (7 papers). Tae-Hyuk Ahn collaborates with scholars based in United States, South Korea and Belgium. Tae-Hyuk Ahn's co-authors include Chongle Pan, Trudy M. Wassenaar, Intawat Nookaew, Tatiana V. Karpinets, Suresh Poudel, Ole Lund, Se‐Ran Jun, Miriam Land, Michael R. Leuze and Loren Hauser and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Tae-Hyuk Ahn

40 papers receiving 970 citations

Hit Papers

Insights from 20 years of... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tae-Hyuk Ahn 701 236 107 91 91 42 985
Tsuyoshi Hachiya 656 0.9× 272 1.2× 157 1.5× 69 0.8× 97 1.1× 57 1.0k
Daniela Börnigen 731 1.0× 254 1.1× 81 0.8× 70 0.8× 87 1.0× 27 1.2k
Ana Isabel Antón 594 0.8× 271 1.1× 197 1.8× 65 0.7× 80 0.9× 40 1.2k
Wen Ding 598 0.9× 129 0.5× 62 0.6× 105 1.2× 59 0.6× 43 1.1k
Xuehua Wan 637 0.9× 113 0.5× 110 1.0× 145 1.6× 207 2.3× 42 1.1k
Brian P. Anton 789 1.1× 242 1.0× 173 1.6× 40 0.4× 133 1.5× 48 1.1k
Iain A. Murray 810 1.2× 203 0.9× 179 1.7× 57 0.6× 113 1.2× 30 1.2k
Antonella Fioravanti 364 0.5× 162 0.7× 167 1.6× 72 0.8× 119 1.3× 39 927
Barry Collins 785 1.1× 190 0.8× 97 0.9× 207 2.3× 33 0.4× 20 1.1k
Liam Cassidy 762 1.1× 200 0.8× 78 0.7× 31 0.3× 52 0.6× 31 1.1k

Countries citing papers authored by Tae-Hyuk Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Tae-Hyuk Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae-Hyuk Ahn

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

All Works

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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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