Su Kim

757 total citations
41 papers, 503 citations indexed

About

Su Kim is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Su Kim has authored 41 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Plant Science and 10 papers in Epidemiology. Recurrent topics in Su Kim's work include Autophagy in Disease and Therapy (6 papers), Ubiquitin and proteasome pathways (5 papers) and Powdery Mildew Fungal Diseases (4 papers). Su Kim is often cited by papers focused on Autophagy in Disease and Therapy (6 papers), Ubiquitin and proteasome pathways (5 papers) and Powdery Mildew Fungal Diseases (4 papers). Su Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Su Kim's co-authors include Yong Tae Kwon, Chang Hoon Ji, Ah Jung Heo, Min Ju Lee, Aaron Ciechanover, Bo Yeon Kim, Su Hyun Lee, Peter C. Searson, Sung Eun Chang and Hee Yeon Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular Cell.

In The Last Decade

Su Kim

40 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Su Kim South Korea	13	167	108	93	78	62	41	503
Lamia Azzi‐Martin France	13	284 1.7×	52 0.5×	48 0.5×	141 1.8×	55 0.9×	24	632
Nisha Verma Germany	13	332 2.0×	28 0.3×	66 0.7×	23 0.3×	135 2.2×	33	834
Qian Ren China	15	307 1.8×	92 0.9×	27 0.3×	97 1.2×	124 2.0×	53	787
Eric L. Carter United States	16	254 1.5×	44 0.4×	83 0.9×	53 0.7×	32 0.5×	23	624
Jiao Du China	16	244 1.5×	28 0.3×	35 0.4×	170 2.2×	38 0.6×	43	643
Qinsi Yang China	17	583 3.5×	30 0.3×	73 0.8×	14 0.2×	37 0.6×	37	942
R. Fukuyama Japan	9	326 2.0×	33 0.3×	85 0.9×	63 0.8×	54 0.9×	13	783
Yingying Yu China	13	182 1.1×	40 0.4×	28 0.3×	43 0.6×	16 0.3×	43	452

Countries citing papers authored by Su Kim

Since Specialization

Citations

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

Fields of papers citing papers by Su Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Su Kim. A scholar is included among the top collaborators of Su 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 Su Kim. Su 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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20 of 20 papers shown

Kim, Su, Ji Su Lee, Wei Huang, et al.. (2025). The structure-function relationship of ATE1 R-transferase of the autophagic Arg/N-degron pathway. Autophagy. 21(10). 2293–2295. 2 indexed citations

Lee, Ji Su, et al.. (2025). The Ubiquitin Code in Disease Pathogenesis and Progression: Composition, Characteristics and its Potential as a Therapeutic Target. Discovery Medicine. 37(193). 203–203. 1 indexed citations

Huang, Wei, Su Kim, Dechen Fu, et al.. (2024). Oligomerization and a distinct tRNA-binding loop are important regulators of human arginyl-transferase function. Nature Communications. 15(1). 6350–6350. 2 indexed citations

Heo, Ah Jung, Su Kim, Yong Tae Kwon, & Chang Hoon Ji. (2023). The N-degron pathway: From basic science to therapeutic applications. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1866(2). 194934–194934. 7 indexed citations

Ji, Chang Hoon, Su Kim, Min Ju Lee, & Yong Tae Kwon. (2023). Monitoring the Activation of Selective Autophagy via N-Terminal Arginylation. Methods in molecular biology. 2620. 243–252. 1 indexed citations

Lee, Min Ju, Su Kim, Hee Yeon Kim, et al.. (2023). Methods to detect AUTOphagy-Targeting Chimera (AUTOTAC)-mediated Targeted Protein Degradation in Tauopathies. BIO-PROTOCOL. 13(2). e4594–e4594. 2 indexed citations

Sobocinski, Kathryn L., Correigh M. Greene, Joseph H. Anderson, et al.. (2021). A hypothesis-driven statistical approach for identifying ecosystem indicators of coho and Chinook salmon marine survival. Ecological Indicators. 124. 107403–107403. 20 indexed citations

Kim, Su, et al.. (2019). Sucrase-Isomaltase Deficiency as a Potential Masquerader in Irritable Bowel Syndrome. Digestive Diseases and Sciences. 65(2). 534–540. 35 indexed citations

Ji, Chang Hoon, Hee Yeon Kim, Ah Jung Heo, et al.. (2019). The N-Degron Pathway Mediates ER-phagy. Molecular Cell. 75(5). 1058–1072.e9. 108 indexed citations

10.

Lee, Yeon‐Ju, Su Kim, Hyi‐Seung Lee, et al.. (2017). Three New Cytotoxic Steroidal Glycosides Isolated from Conus pulicarius Collected in Kosrae, Micronesia. Marine Drugs. 15(12). 379–379. 6 indexed citations

11.

Kim, Su, et al.. (2017). Vedolizumab-Induced Pyoderma Gangrenosum in a Patient With Ulcerative Colitis. The American Journal of Gastroenterology. 112. S1106–S1107. 2 indexed citations

12.

Kim, Sung Kyeom, et al.. (2015). Variation of Antioxidant Activity and Bioactive Compounds Content in Cruciferae Seeds. Journal of Agriculture & Life Science. 49(5). 103–115. 1 indexed citations

13.

Solmaz, I., et al.. (2014). Morphological characterization of Korean and Turkish watermelon germplasm. Korean Journal of Agricultural Science. 41(4). 309–314. 21 indexed citations

14.

Shin, Seung Chul, Do Hwan Ahn, Su Kim, et al.. (2014). The genome sequence of the Antarctic bullhead notothen reveals evolutionary adaptations to a cold environment. Genome Biology. 15(9). 468–468. 3 indexed citations

15.

Chae, Won Byoung, et al.. (2012). Genetic Analysis of Carotenoids Content in Red Pepper (Capsicum annuum L.) Fruit using Complete Diallel Cross. Korean Journal of Breeding Science. 44(4). 476–482. 2 indexed citations

16.

Truong, Hai Thi Hong, et al.. (2010). Comparative Mapping of Consensus SSR Markers in an Intraspecific F₈ Recombinant Inbred Line Population in Capsicum. Horticulture Environment and Biotechnology. 51(3). 193–206. 11 indexed citations

17.

Gardner, James M., Su Kim, Peter C. Searson, & Gerald J. Meyer. (2010). Electrodeposition of Nanometer-Sized Ferric Oxide Materials in Colloidal Templates for Conversion of Light to Chemical Energy. Journal of Nanomaterials. 2011. 1–8. 20 indexed citations

18.

Chung, Hee, et al.. (2009). Application of SCAR markers to self-incompatibility genotyping in breeding Lines of radish (Raphanus sativus L.). Korean Journal of Breeding Science. 41(4). 397–402. 1 indexed citations

19.

Kim, Su, et al.. (2009). Effects ofin vitro-Digested Ginsenosides on Lipid Accumulation in 3T3-L1 Adipocytes. Planta Medica. 75(6). 596–601. 30 indexed citations

20.

Zhu, Liu, Frank Zhu, Su Kim, et al.. (2008). Exploiting finite size effects in a novel core/shell microstructure. Journal of Applied Physics. 103(6). 29 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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