Chang-Bae Kim

2.2k total citations
141 papers, 1.6k citations indexed

About

Chang-Bae Kim is a scholar working on Molecular Biology, Ecology and Oceanography. According to data from OpenAlex, Chang-Bae Kim has authored 141 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 41 papers in Ecology and 22 papers in Oceanography. Recurrent topics in Chang-Bae Kim's work include Genomics and Phylogenetic Studies (31 papers), Marine Biology and Ecology Research (21 papers) and Identification and Quantification in Food (20 papers). Chang-Bae Kim is often cited by papers focused on Genomics and Phylogenetic Studies (31 papers), Marine Biology and Ecology Research (21 papers) and Identification and Quantification in Food (20 papers). Chang-Bae Kim collaborates with scholars based in South Korea, United States and Vietnam. Chang-Bae Kim's co-authors include John A. Krommes, Dennis N. Kevill, Frank H. Ruddle, Mustafa Zafer Karagozlu, Moo‐Sang Kim, Adeel Malik, Soowon Cho, Hyung‐Jin Park, Chris T. Amemiya and Günter P. Wagner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

Chang-Bae Kim

134 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang-Bae Kim South Korea 18 853 349 285 256 158 141 1.6k
Hiroaki Nakano Japan 24 1.2k 1.4× 302 0.9× 105 0.4× 287 1.1× 240 1.5× 86 2.7k
Tatsuya Fukuda Japan 23 759 0.9× 168 0.5× 703 2.5× 127 0.5× 75 0.5× 145 1.7k
Julio San Román Spain 23 169 0.2× 329 0.9× 57 0.2× 395 1.5× 36 0.2× 68 2.4k
P. S. Cooper United States 19 855 1.0× 114 0.3× 198 0.7× 162 0.6× 91 0.6× 51 2.1k
Kazuo Yamazaki Japan 22 128 0.2× 187 0.5× 215 0.8× 198 0.8× 48 0.3× 191 2.1k
J. Aleksić Serbia 19 948 1.1× 287 0.8× 224 0.8× 102 0.4× 244 1.5× 76 1.7k
Gábor Tóth Hungary 20 1.4k 1.7× 593 1.7× 925 3.2× 122 0.5× 381 2.4× 47 2.6k
Dmitry A. Konovalov Australia 18 144 0.2× 236 0.7× 322 1.1× 300 1.2× 15 0.1× 55 1.5k
Klaus Reuter Germany 9 1.1k 1.3× 206 0.6× 506 1.8× 500 2.0× 54 0.3× 12 2.1k
Jarrod Chapman United States 18 3.0k 3.6× 704 2.0× 1.1k 3.9× 1.3k 5.0× 104 0.7× 22 5.4k

Countries citing papers authored by Chang-Bae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Bae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang-Bae Kim

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

All Works

20 of 20 papers shown
2.
Malik, Adeel, Majid Rasool Kamli, Jamal S. M. Sabir, et al.. (2024). APLpred: A machine learning-based tool for accurate prediction and characterization of asparagine peptide lyases using sequence-derived optimal features. Methods. 229. 133–146. 5 indexed citations
3.
Park, Jong Seok, Chang-Bae Kim, Tae‐Yong Jeong, et al.. (2024). Toxic effects of fragmented polyethylene terephthalate particles on the marine rotifer Brachionus koreanus: Based on ingestion and egestion assay, in vivo toxicity test, and multi-omics analysis. Journal of Hazardous Materials. 472. 134448–134448. 10 indexed citations
4.
Ghosh, Arpita, Majid Rasool Kamli, Hyung Wook Kwon, et al.. (2024). The Chinese mitten crab (Eriocheir sinensis) and its microbiome: A review. Aquaculture. 595. 741518–741518. 8 indexed citations
5.
Malik, Adeel, et al.. (2023). RDR100: A Robust Computational Method for Identification ofKrüppel-like Factors. Current Bioinformatics. 19(6). 584–599. 1 indexed citations
6.
Kim, Chang-Bae, et al.. (2022). Molecular phylogeny of selected dorid nudibranchs based on complete mitochondrial genome. Scientific Reports. 12(1). 18797–18797. 10 indexed citations
7.
Kim, Chang-Bae, et al.. (2019). On the effects of nonuniform zonal flow in the resistive-drift plasma. Plasma Physics and Controlled Fusion. 61(3). 35002–35002. 9 indexed citations
8.
Kim, Chang-Bae, et al.. (2019). Reduction of edge plasma turbulence via cross-phase decrease by zonal fields. Plasma Physics and Controlled Fusion. 61(8). 85024–85024. 4 indexed citations
9.
Lim, Jeongheui, Jong Bhak, Hee‐Mock Oh, et al.. (2008). An Integrated Korean Biodiversity and Genetic Information Retrieval System. BMC Bioinformatics. 9(S12). S24–S24. 4 indexed citations
10.
Kim, Chang-Bae, et al.. (2006). Isolation of Antagonistic Bacteria against Major Diseases in Panax ginseng C.A. Meyer. Korean Journal of Medicinal Crop Science. 14(4). 202–205. 6 indexed citations
11.
Kang, Tae-Wook, et al.. (2006). Molecular phylogeny and distribution of far eastern Oryzias latipes based on mitochondrial cytochrome b gene sequence. KRIBB Repository. 18(1). 12–19. 2 indexed citations
12.
Hwang, Jae Yeon, et al.. (2006). A LINE element from the olive flounder (Paralichthys olivaceus) shows similarity to the Maui non-LTR retrotransposon. KRIBB Repository. 28(3). 229–236. 1 indexed citations
13.
Kim, Chang-Bae, et al.. (2000). Effect of Chemical Properties of Cultivation Soils on the Plant Growth and the Quality of Garlic. 33(5). 333–339. 1 indexed citations
14.
Lee, Hyun-Suk, et al.. (2000). Effect of plug cell and microtuber size on the growth and yield of 'Dejima' potato.. Han'gug weon'ye haghoeji. 41(2). 166–168. 2 indexed citations
15.
Kim, Chang-Bae, et al.. (1999). Effects of Packing Materials on the Keeping Freshness of Chinese Chives(Allium Tubersum Rottler) at Low Temperature Storage. Korean Journal of Food Preservation. 6(3). 270–275.
16.
Kim, Won, Chang-Bae Kim, & Ji‐Hee Kim. (1993). Thalassinidean and Anomuran Fauna of Ulreung Island, Korea. 36(3). 391–401. 2 indexed citations
17.
Kim, Chang-Bae, et al.. (1992). Three Species of the Genus Melita from Korea (Crustacea, Amphipoda, Melitidae). Animal Systematics Evolution and Diversity. 113–120. 2 indexed citations
18.
Kim, Chang-Bae, Hoon‐Soo Kim, & Won Kim. (1992). Three Species of Gammaridean Amphipod(Crustacea) from Korean Waters. Animal Systematics Evolution and Diversity. 101–112.
19.
Kim, Won & Chang-Bae Kim. (1991). The Marine Amphipod Crustaceans of Ulreung Island, Korea: Part III. 34(2). 232–252. 5 indexed citations
20.
Kim, Chang-Bae, et al.. (1988). Marine Gammaridean Amphipoda (Crustacea) of the Family Ampithoidae from Korea. Animal Systematics Evolution and Diversity. 107–134. 10 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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