Taehyun Chang

93 total papers · 1.0k total citations
69 papers, 753 citations indexed

About

Taehyun Chang is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Taehyun Chang has authored 69 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Plant Science, 49 papers in Cell Biology and 27 papers in Molecular Biology. Recurrent topics in Taehyun Chang's work include Plant Pathogens and Fungal Diseases (49 papers), Yeasts and Rust Fungi Studies (26 papers) and Mycorrhizal Fungi and Plant Interactions (16 papers). Taehyun Chang is often cited by papers focused on Plant Pathogens and Fungal Diseases (49 papers), Yeasts and Rust Fungi Studies (26 papers) and Mycorrhizal Fungi and Plant Interactions (16 papers). Taehyun Chang collaborates with scholars based in South Korea, United States and Bangladesh. Taehyun Chang's co-authors include Oliul Hassan, Geunhwa Jung, Hyunkyu Sang, James T. Popko, Scott E. Warnke, G. Jung, Sung‐Chur Sim, Randolph Barker, Jeongdae Im and Hao Xu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Theoretical and Applied Genetics.

In The Last Decade

Taehyun Chang

63 papers receiving 722 citations

Author Peers

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

Author						Papers	Cites
Taehyun Chang	614	422	254	147	128	69	753
R. D. Reeleder	615 1.0×	295 0.7×	286 1.1×	125 0.9×	33 0.3×	54	794
Philip F. Harmon	636 1.0×	343 0.8×	181 0.7×	106 0.7×	57 0.4×	86	752
L. Riccioni	692 1.1×	496 1.2×	216 0.9×	88 0.6×	13 0.1×	54	815
Yasser M. Shabana	668 1.1×	247 0.6×	103 0.4×	72 0.5×	56 0.4×	60	860
Weiguo Miao	588 1.0×	260 0.6×	230 0.9×	36 0.2×	20 0.2×	70	826
Stephen M. Marek	528 0.9×	171 0.4×	142 0.6×	40 0.3×	36 0.3×	42	659
Martin M. Kulik	481 0.8×	214 0.5×	133 0.5×	98 0.7×	42 0.3×	46	676
Zhenzhen Zhao	578 0.9×	159 0.4×	180 0.7×	62 0.4×	27 0.2×	32	766
Virgil Greene Lilly	522 0.9×	309 0.7×	195 0.8×	197 1.3×	24 0.2×	49	902
Barry M. Cunfer	673 1.1×	309 0.7×	139 0.5×	148 1.0×	64 0.5×	75	849

Countries citing papers authored by Taehyun Chang

Since Specialization

Citations

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

Fields of papers citing papers by Taehyun Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taehyun Chang

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