Sang-Dal Kim

102 total papers · 1.3k total citations
55 papers, 899 citations indexed

About

Sang-Dal Kim is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Sang-Dal Kim has authored 55 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 19 papers in Molecular Biology and 9 papers in Biotechnology. Recurrent topics in Sang-Dal Kim's work include Plant-Microbe Interactions and Immunity (22 papers), Nematode management and characterization studies (10 papers) and Fungal Biology and Applications (8 papers). Sang-Dal Kim is often cited by papers focused on Plant-Microbe Interactions and Immunity (22 papers), Nematode management and characterization studies (10 papers) and Fungal Biology and Applications (8 papers). Sang-Dal Kim collaborates with scholars based in South Korea, United States and Japan. Sang-Dal Kim's co-authors include Jong-Hui Lim, Yong‐Su Kim, Jeffrey S. Buyer, Daniel P. Roberts, Dilip K. Lakshman, John E. Lydon, Hyesuk Kong, Aharon Gibor, Yong‐Ki Hong and Miriam Polne‐Fuller and has published in prestigious journals such as Applied and Environmental Microbiology, Applied Microbiology and Biotechnology and Journal of Applied Phycology.

In The Last Decade

Sang-Dal Kim

53 papers receiving 834 citations

Author Peers

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

Author						Papers	Cites
Sang-Dal Kim	688	292	134	82	72	55	899
Xunli Liu	500 0.7×	247 0.8×	152 1.1×	48 0.6×	76 1.1×	39	756
Tong Liu	554 0.8×	226 0.8×	147 1.1×	39 0.5×	54 0.8×	61	818
V. Shanmugam	803 1.2×	269 0.9×	264 2.0×	45 0.5×	71 1.0×	59	942
D. K. Arora	624 0.9×	197 0.7×	270 2.0×	78 1.0×	42 0.6×	53	853
Brenda K. Schroeder	654 1.0×	228 0.8×	176 1.3×	82 1.0×	79 1.1×	45	896
Tianhui Zhu	580 0.8×	226 0.8×	183 1.4×	36 0.4×	28 0.4×	86	771
Wafaa M. Haggag	757 1.1×	205 0.7×	261 1.9×	33 0.4×	75 1.0×	54	910
Pengfei He	854 1.2×	279 1.0×	293 2.2×	32 0.4×	70 1.0×	52	1.0k
L. Rajendran	781 1.1×	296 1.0×	245 1.8×	55 0.7×	78 1.1×	80	948
Benjamin Mimee	753 1.1×	282 1.0×	73 0.5×	32 0.4×	67 0.9×	60	998

Countries citing papers authored by Sang-Dal Kim

Since Specialization

Citations

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

Fields of papers citing papers by Sang-Dal Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Dal Kim. 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 Sang-Dal Kim. The network helps show where Sang-Dal Kim may publish in the future.

Co-authorship network of co-authors of Sang-Dal Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Dal Kim. A scholar is included among the top collaborators of Sang-Dal Kim 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 Sang-Dal Kim. Sang-Dal Kim 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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