Taeowan Chung

32 total papers · 836 total citations
29 papers, 739 citations indexed

About

Taeowan Chung is a scholar working on Molecular Biology, Organic Chemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Taeowan Chung has authored 29 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 6 papers in Organic Chemistry and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Taeowan Chung's work include Enzyme Catalysis and Immobilization (8 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Carbohydrate Chemistry and Synthesis (5 papers). Taeowan Chung is often cited by papers focused on Enzyme Catalysis and Immobilization (8 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Carbohydrate Chemistry and Synthesis (5 papers). Taeowan Chung collaborates with scholars based in South Korea, United States and Taiwan. Taeowan Chung's co-authors include Hyungdon Yun, Zoltán Kiss, Jagat J. Mukherjee, Sam Mathew, Saravanan Prabhu Nadarajan, Karan S. Crilly, Rhoderick E. Brown, Helen M. Pike, Hyunwoo Jeon and Mahesh D. Patil and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Taeowan Chung

29 papers receiving 732 citations

Author Peers

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

Author						Papers	Cites
Taeowan Chung	535	116	77	48	47	29	739
M. W. Whitehouse	316 0.6×	173 1.5×	78 1.0×	45 0.9×	82 1.7×	26	819
Jiayi Fan	375 0.7×	50 0.4×	48 0.6×	34 0.7×	38 0.8×	47	688
C. A. Marsh	351 0.7×	157 1.4×	65 0.8×	73 1.5×	39 0.8×	27	699
R. Reistad	303 0.6×	72 0.6×	57 0.7×	19 0.4×	24 0.5×	34	754
Shangfu Li	527 1.0×	80 0.7×	43 0.6×	70 1.5×	32 0.7×	44	846
Jianli Guo	503 0.9×	39 0.3×	42 0.5×	71 1.5×	43 0.9×	49	876
E.F. Phares	536 1.0×	52 0.4×	135 1.8×	61 1.3×	106 2.3×	22	897
Evelyn Rampler	608 1.1×	36 0.3×	38 0.5×	39 0.8×	44 0.9×	33	852
Nigel Gains	424 0.8×	117 1.0×	43 0.6×	61 1.3×	39 0.8×	26	700
Bei Zhang	337 0.6×	112 1.0×	39 0.5×	41 0.9×	20 0.4×	43	838

Countries citing papers authored by Taeowan Chung

Since Specialization

Citations

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

Fields of papers citing papers by Taeowan Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taeowan Chung

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