Kang‐Sup Yoon

1.1k total citations
12 papers, 527 citations indexed

About

Kang‐Sup Yoon is a scholar working on Renewable Energy, Sustainability and the Environment, Molecular Biology and Biochemistry. According to data from OpenAlex, Kang‐Sup Yoon has authored 12 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Renewable Energy, Sustainability and the Environment, 7 papers in Molecular Biology and 6 papers in Biochemistry. Recurrent topics in Kang‐Sup Yoon's work include Algal biology and biofuel production (8 papers), Lipid metabolism and biosynthesis (5 papers) and Photosynthetic Processes and Mechanisms (4 papers). Kang‐Sup Yoon is often cited by papers focused on Algal biology and biofuel production (8 papers), Lipid metabolism and biosynthesis (5 papers) and Photosynthetic Processes and Mechanisms (4 papers). Kang‐Sup Yoon collaborates with scholars based in China, South Korea and United States. Kang‐Sup Yoon's co-authors include Danxiang Han, Qiang Hu, Yantao Li, Milton R. Sommerfeld, Jin Liu, Tatyana A. Klochkova, Gwang Hoon Kim, Chen Shen, Li Wei and Jian Xu and has published in prestigious journals such as The Plant Cell, Applied and Environmental Microbiology and PLANT PHYSIOLOGY.

In The Last Decade

Kang‐Sup Yoon

11 papers receiving 520 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kang‐Sup Yoon China 6 396 381 239 71 43 12 527
Eric Poliner United States 11 513 1.3× 505 1.3× 82 0.3× 53 0.7× 41 1.0× 13 678
Lital Davidi Israel 8 294 0.7× 256 0.7× 92 0.4× 40 0.6× 64 1.5× 8 417
Jaruswan Warakanont United States 7 466 1.2× 438 1.1× 227 0.9× 42 0.6× 52 1.2× 9 581
Eric T. Fedosejevs Canada 9 315 0.8× 209 0.5× 91 0.4× 57 0.8× 216 5.0× 12 567
Imad Ajjawi United States 10 574 1.4× 361 0.9× 157 0.7× 31 0.4× 215 5.0× 10 826
Umidjon Iskandarov United States 8 255 0.6× 258 0.7× 218 0.9× 14 0.2× 60 1.4× 8 435
Matthew Juergens United States 6 353 0.9× 311 0.8× 68 0.3× 81 1.1× 113 2.6× 7 499
Victoria H. Work United States 5 457 1.2× 448 1.2× 47 0.2× 40 0.6× 22 0.5× 7 585
Qinhua Gan China 11 196 0.5× 204 0.5× 39 0.2× 47 0.7× 102 2.4× 22 420
Yuval Kaye Israel 9 305 0.8× 191 0.5× 48 0.2× 38 0.5× 242 5.6× 13 518

Countries citing papers authored by Kang‐Sup Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Kang‐Sup Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kang‐Sup Yoon. 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 Kang‐Sup Yoon. The network helps show where Kang‐Sup Yoon may publish in the future.

Co-authorship network of co-authors of Kang‐Sup Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Kang‐Sup Yoon. A scholar is included among the top collaborators of Kang‐Sup Yoon 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 Kang‐Sup Yoon. Kang‐Sup Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Li, Zhongze, Li Cao, Liang Zhao, et al.. (2020). Identification and Biotechnical Potential of a Gcn5-Related N-Acetyltransferase Gene in Enhancing Microalgal Biomass and Starch Production. Frontiers in Plant Science. 11. 544827–544827. 5 indexed citations
3.
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Yi, Xin, Chen Shen, Hong Chen, et al.. (2018). Biosynthesis of Triacylglycerol Molecules with a Tailored PUFA Profile in Industrial Microalgae. Molecular Plant. 12(4). 474–488. 74 indexed citations
5.
Liu, Jin, Danxiang Han, Kang‐Sup Yoon, Qiang Hu, & Yantao Li. (2016). Characterization of type 2 diacylglycerol acyltransferases in Chlamydomonas reinhardtii reveals their distinct substrate specificities and functions in triacylglycerol biosynthesis. The Plant Journal. 86(1). 3–19. 104 indexed citations
6.
Han, Jong Won, et al.. (2012). Isolation and Characterization of a Sex-Specific Lectin in a Marine Red Alga, Aglaothamnion oosumiense Itono. Applied and Environmental Microbiology. 78(20). 7283–7289. 14 indexed citations
7.
8.
Lee, Ji-Ho, Jae Hyup Lee, Kang‐Sup Yoon, Seung‐Baik Kang, & Chris Hyunchul Jo. (2008). COMPARATIVE STUDY OF UNILATERAL AND BILATERAL CAGES WITH RESPECT TO CLINICAL OUTCOMES AND STABILITY IN INSTRUMENTED POSTERIOR LUMBAR INTERBODY FUSION. Neurosurgery. 63(1). 109–114. 3 indexed citations
9.
10.
Kim, Gwang Hoon, et al.. (2006). PURIFICATION AND CHARACTERIZATION OF A LECTIN, BRYOHEALIN, INVOLVED IN THE PROTOPLAST FORMATION OF A MARINE GREEN ALGA BRYOPSIS PLUMOSA (CHLOROPHYTA) 1. Journal of Phycology. 0(0). 2796736153–???. 2 indexed citations
11.
Klochkova, Tatyana A., Kang‐Sup Yoon, John A. West, & Gwang Hoon Kim. (2005). Experimental Hybridization between Some Marine Coenocytic Green Algae Using Protoplasms Extruded in vitro. ALGAE. 20(3). 239–249. 9 indexed citations
12.
Yoon, Kang‐Sup, et al.. (1993). Isolation and Characterization of Sepiapterin Reductase from Drosophila melanogaster. Pteridines. 4(1). 43–50. 5 indexed citations

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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