Hee-Chan Yang

15 total papers · 405 total citations
10 papers, 341 citations indexed

About

Hee-Chan Yang is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Hee-Chan Yang has authored 10 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Plant Science and 3 papers in Ecology. Recurrent topics in Hee-Chan Yang's work include Genomics and Phylogenetic Studies (9 papers), Enzyme Production and Characterization (3 papers) and Microbial Community Ecology and Physiology (3 papers). Hee-Chan Yang is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Enzyme Production and Characterization (3 papers) and Microbial Community Ecology and Physiology (3 papers). Hee-Chan Yang collaborates with scholars based in South Korea, China and United Kingdom. Hee-Chan Yang's co-authors include Dong-Shan An, Sung‐Taik Lee, Wan‐Taek Im, Kwang Kyu Kim, Deok‐Chun Yang, Long Jin, Myung Kyum Kim, In S. Kim, Deok‐Chun Yang and Chang-Hao Cui and has published in prestigious journals such as Applied Microbiology and Biotechnology and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

In The Last Decade

Hee-Chan Yang

10 papers receiving 333 citations

Author Peers

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

Author						Papers	Cites
Hee-Chan Yang	210	146	128	40	30	10	341
Yordanis Pérez‐Llano	114 0.5×	68 0.5×	112 0.9×	28 0.7×	48 1.6×	14	308
Can Su	201 1.0×	102 0.7×	93 0.7×	50 1.3×	20 0.7×	10	353
Myung-Kyum Kim	283 1.3×	104 0.7×	126 1.0×	65 1.6×	17 0.6×	14	367
N. Rameshkumar	176 0.8×	148 1.0×	170 1.3×	20 0.5×	27 0.9×	16	361
Edmilson Ricardo Gonçalves	129 0.6×	44 0.3×	176 1.4×	11 0.3×	45 1.5×	10	334
M. E. RHODES	128 0.6×	94 0.6×	126 1.0×	36 0.9×	42 1.4×	11	397
Myung Suk Kang	262 1.2×	117 0.8×	87 0.7×	70 1.8×	27 0.9×	9	344
Chelsea L. Murphy	144 0.7×	98 0.7×	81 0.6×	31 0.8×	45 1.5×	13	327
Akira Manome	135 0.6×	87 0.6×	109 0.9×	23 0.6×	39 1.3×	12	328
Andrés Santos	147 0.7×	129 0.9×	42 0.3×	41 1.0×	24 0.8×	15	334

Countries citing papers authored by Hee-Chan Yang

Since Specialization

Citations

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

Fields of papers citing papers by Hee-Chan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee-Chan Yang. 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 Hee-Chan Yang. The network helps show where Hee-Chan Yang may publish in the future.

Co-authorship network of co-authors of Hee-Chan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hee-Chan Yang. A scholar is included among the top collaborators of Hee-Chan Yang 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 Hee-Chan Yang. Hee-Chan Yang 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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