Deok‐Chun Yang

66 total papers · 1.0k total citations
46 papers, 873 citations indexed

About

Deok‐Chun Yang is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Deok‐Chun Yang has authored 46 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 22 papers in Plant Science and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Deok‐Chun Yang's work include Ginseng Biological Effects and Applications (15 papers), Plant Stress Responses and Tolerance (9 papers) and Genomics and Phylogenetic Studies (7 papers). Deok‐Chun Yang is often cited by papers focused on Ginseng Biological Effects and Applications (15 papers), Plant Stress Responses and Tolerance (9 papers) and Genomics and Phylogenetic Studies (7 papers). Deok‐Chun Yang collaborates with scholars based in South Korea, China and Mongolia. Deok‐Chun Yang's co-authors include Yeon-Ju Kim, Johan Sukweenadhi, Yu‐Jin Kim, Yeon-Ju Kim, Dong‐Uk Yang, Jin-Woo Min, Lin‐Hu Quan, Rama Krishna Pulla, Mohamed El-Agamy Farh and Priyanka Singh and has published in prestigious journals such as Applied Microbiology and Biotechnology, Gene and Field Crops Research.

In The Last Decade

Deok‐Chun Yang

43 papers receiving 840 citations

Author Peers

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

Author						Papers	Cites
Deok‐Chun Yang	605	395	164	93	58	46	873
Yen‐Hsueh Tseng	397 0.7×	240 0.6×	115 0.7×	136 1.5×	62 1.1×	66	822
T. E. Sheeja	288 0.5×	368 0.9×	69 0.4×	100 1.1×	78 1.3×	45	710
Fugang Wei	417 0.7×	387 1.0×	49 0.3×	149 1.6×	71 1.2×	43	877
Chai Ling Ho	342 0.6×	330 0.8×	47 0.3×	129 1.4×	71 1.2×	43	882
Wang Ying	348 0.6×	435 1.1×	173 1.1×	113 1.2×	20 0.3×	55	830
Luzimar Gonzaga Fernandez	359 0.6×	441 1.1×	44 0.3×	173 1.9×	29 0.5×	54	861
Ying Liu	244 0.4×	254 0.6×	173 1.1×	53 0.6×	41 0.7×	27	740
Sushma Tamta	347 0.6×	337 0.9×	88 0.5×	81 0.9×	16 0.3×	57	786
Mei Han	405 0.7×	423 1.1×	59 0.4×	72 0.8×	27 0.5×	45	764
Hao Wei	378 0.6×	422 1.1×	60 0.4×	105 1.1×	17 0.3×	41	881

Countries citing papers authored by Deok‐Chun Yang

Since Specialization

Citations

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

Fields of papers citing papers by Deok‐Chun Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deok‐Chun 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 Deok‐Chun Yang. The network helps show where Deok‐Chun Yang may publish in the future.

Co-authorship network of co-authors of Deok‐Chun Yang

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