Suk‐Jin Ha

1.5k total citations
55 papers, 1.2k citations indexed

About

Suk‐Jin Ha is a scholar working on Molecular Biology, Biomedical Engineering and Biotechnology. According to data from OpenAlex, Suk‐Jin Ha has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 20 papers in Biomedical Engineering and 15 papers in Biotechnology. Recurrent topics in Suk‐Jin Ha's work include Biofuel production and bioconversion (17 papers), Microbial Metabolic Engineering and Bioproduction (14 papers) and Enzyme Production and Characterization (12 papers). Suk‐Jin Ha is often cited by papers focused on Biofuel production and bioconversion (17 papers), Microbial Metabolic Engineering and Bioproduction (14 papers) and Enzyme Production and Characterization (12 papers). Suk‐Jin Ha collaborates with scholars based in South Korea and United States. Suk‐Jin Ha's co-authors include Eock Kee Hong, Jong‐Hyun Jung, Dong‐Ho Seo, Cheon‐Seok Park, Jung-Kul Lee, Sang-Yong Kim, Jong Seok Lee, Jaeho Cha, Deok‐Kun Oh and Jae‐Bum Park and has published in prestigious journals such as The Science of The Total Environment, Bioresource Technology and Biochemical and Biophysical Research Communications.

In The Last Decade

Suk‐Jin Ha

52 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suk‐Jin Ha South Korea 23 589 343 302 248 218 55 1.2k
Christopher Bucke United Kingdom 18 545 0.9× 165 0.5× 336 1.1× 172 0.7× 352 1.6× 39 1.1k
Duobin Mao China 18 337 0.6× 154 0.4× 125 0.4× 115 0.5× 298 1.4× 70 857
Gongyuan Wei China 20 765 1.3× 204 0.6× 153 0.5× 194 0.8× 342 1.6× 56 1.4k
Weizhu Zeng China 25 1.4k 2.3× 394 1.1× 245 0.8× 113 0.5× 109 0.5× 98 1.7k
Rosa María Oliart‐Ros Mexico 18 642 1.1× 123 0.4× 156 0.5× 262 1.1× 233 1.1× 58 1.4k
Kwang‐Hee Son South Korea 19 592 1.0× 228 0.7× 277 0.9× 77 0.3× 251 1.2× 58 1.1k
Zhang Wei-guo China 23 931 1.6× 441 1.3× 170 0.6× 246 1.0× 126 0.6× 66 1.3k
Xiaole Xia China 20 690 1.2× 273 0.8× 166 0.5× 154 0.6× 140 0.6× 87 1.2k
Sikander Ali Pakistan 18 562 1.0× 452 1.3× 329 1.1× 212 0.9× 227 1.0× 112 1.0k

Countries citing papers authored by Suk‐Jin Ha

Since Specialization
Citations

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

Fields of papers citing papers by Suk‐Jin Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suk‐Jin Ha. 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 Suk‐Jin Ha. The network helps show where Suk‐Jin Ha may publish in the future.

Co-authorship network of co-authors of Suk‐Jin Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Suk‐Jin Ha. A scholar is included among the top collaborators of Suk‐Jin Ha 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 Suk‐Jin Ha. Suk‐Jin Ha 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
1.
Lee, Su-Bin, Jaewon Choi, Kwang Suk Lim, et al.. (2025). Polymer- and Lipid-Based Nanostructures for Wound Healing with Barrier-Resolved Design. Pharmaceutics. 17(11). 1501–1501.
2.
Lim, Su Yeon, Hyun‐Ouk Kim, Suk‐Jin Ha, et al.. (2025). Combination Strategies with HSP90 Inhibitors in Cancer Therapy: Mechanisms, Challenges, and Future Perspectives. Pharmaceuticals. 18(8). 1083–1083.
3.
Kim, Yerim, Ji‐Su Park, Jaewon Choi, et al.. (2025). Physiological Barriers to Nucleic Acid Therapeutics and Engineering Strategies for Lipid Nanoparticle Design, Optimization, and Clinical Translation. Pharmaceutics. 17(10). 1309–1309. 1 indexed citations
4.
Kwak, Jae‐Yong, Myung Su Lim, Su Yeon Lim, et al.. (2025). Advances in PCL, PLA, and PLGA-Based Technologies for Anticancer Drug Delivery. Pharmaceutics. 17(10). 1354–1354. 1 indexed citations
5.
6.
Choi, Jae‐Won, Hong Bin Kim, Kwang Suk Lim, et al.. (2024). Application of metal-organic frameworks for photocatalytic degradation of microplastics: Design, challenges, and scope. Chemosphere. 366. 143518–143518. 5 indexed citations
7.
Park, Jeong‐Ann, et al.. (2024). Biodegradation of Low-Density Polyethylene by Acinetobacter guillouiae PL211 Isolated from the Waste Treatment Facility. Microbiology and Biotechnology Letters. 52(2). 189–194. 1 indexed citations
8.
Choi, Jinhyuk, Na‐Rae Kim, Hyun‐Ouk Kim, et al.. (2024). A facile approach to microplastic identification and quantification using differential scanning calorimetry. The Science of The Total Environment. 957. 177456–177456. 5 indexed citations
9.
Lim, Su Yeon, Sugyeong Kim, Hong Bin Kim, et al.. (2024). Development of Tat-fused drug binding protein to improve anti-cancer effect of mammalian target of rapamycin inhibitors. Biotechnology and Bioprocess Engineering. 29(2). 303–312.
10.
Lim, Kwang Suk, et al.. (2023). Adsorption behavior of triclosan on microplastics and their combined acute toxicity to D. magna. The Science of The Total Environment. 880. 163290–163290. 15 indexed citations
11.
Han, Song-Yi, et al.. (2020). Ethanol Fermentation of the Enzymatic Hydrolysates from the Products Pretreated using [EMIM]Ac and Its Co-Solvents with DMF. Journal of Forest and Environmental Science. 36(1). 62–66. 2 indexed citations
12.
13.
Kim, Jinseong, et al.. (2015). Enhanced Xylitol Production by Mutant Kluyveromyces marxianus 36907-FMEL1 Due to Improved Xylose Reductase Activity. Applied Biochemistry and Biotechnology. 176(7). 1975–1984. 32 indexed citations
14.
Jung, Jong‐Hyun, Dong‐Ho Seo, Suk‐Jin Ha, et al.. (2011). Isomaltulose production via yeast surface display of sucrose isomerase from Enterobacter sp. FMB-1 on Saccharomyces cerevisiae. Bioresource Technology. 102(19). 9179–9184. 46 indexed citations
15.
Ha, Suk‐Jin, Sang-Yong Kim, Jin‐Ho Seo, et al.. (2009). Ca2+ increases the specific coenzyme Q10 content in Agrobacterium tumefaciens. Bioprocess and Biosystems Engineering. 32(5). 697–700. 16 indexed citations
16.
Cha, Jaeho, et al.. (2009). Molecular cloning and functional characterization of a sucrose isomerase (isomaltulose synthase) gene from Enterobacter sp. FMB-1. Journal of Applied Microbiology. 107(4). 1119–1130. 25 indexed citations
17.
Jung, Jong‐Hyun, Dong‐Ho Seo, Suk‐Jin Ha, et al.. (2008). Use of Restriction Fragment Length Polymorphism Analysis to Differentiate Fungal Strains in Sunchang Meju. Food Science and Biotechnology. 17(4). 888–891. 10 indexed citations
18.
Seo, Dong‐Ho, Jong‐Hyun Jung, Young‐Rok Kim, et al.. (2007). Identification of Lactic Acid Bacteria Involved in Traditional Korean Rice Wine Fermentation. Food Science and Biotechnology. 16(6). 994–998. 26 indexed citations
19.
Ha, Suk‐Jin, Sang-Yong Kim, Jin‐Ho Seo, et al.. (2007). Controlling the sucrose concentration increases Coenzyme Q10 production in fed-batch culture of Agrobacterium tumefaciens. Applied Microbiology and Biotechnology. 76(1). 109–116. 34 indexed citations
20.
Ha, Suk‐Jin, Sang-Yong Kim, Jin‐Ho Seo, Deok‐Kun Oh, & Jung-Kul Lee. (2006). Optimization of culture conditions and scale-up to pilot and plant scales for coenzyme Q10 production by Agrobacterium tumefaciens. Applied Microbiology and Biotechnology. 74(5). 974–980. 47 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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