Haseong Kim

1.5k total citations
70 papers, 1.1k citations indexed

About

Haseong Kim is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Haseong Kim has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 17 papers in Biomedical Engineering and 12 papers in Genetics. Recurrent topics in Haseong Kim's work include Microbial Metabolic Engineering and Bioproduction (23 papers), Gene Regulatory Network Analysis (22 papers) and Bacterial Genetics and Biotechnology (12 papers). Haseong Kim is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (23 papers), Gene Regulatory Network Analysis (22 papers) and Bacterial Genetics and Biotechnology (12 papers). Haseong Kim collaborates with scholars based in South Korea, United Kingdom and United States. Haseong Kim's co-authors include Seung‐Goo Lee, Dae‐Hee Lee, Eugene Rha, Hyewon Lee, Erol Gelenbe, Seong Keun Kim, Kil Koang Kwon, Wonjae Seong, Taesung Park and Soo‐Jin Yeom and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Haseong Kim

69 papers receiving 1.0k citations

Peers

Haseong Kim

GENET

BIOTE

G. Reza Malmirchegini United States

William J. Holtz United States

Jina Yang South Korea

Pu Xue United States

Ezequiel Franco‐Lara Germany

Jameson K. Rogers United States

Ran Chao United States

Patrick C. Cirino United States

Uri Barenholz Israel

Iman Farasat United States

G. Reza Malmirchegini United States

Haseong Kim

1.0k ×1.2

191 ×0.9

114 ×0.7

GENET

68 ×1.2

87 ×1.6

BIOTE

Citations per year, relative to Haseong Kim Haseong Kim (= 1×) peers G. Reza Malmirchegini

Countries citing papers authored by Haseong Kim

Since Specialization

Citations

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

Fields of papers citing papers by Haseong Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haseong Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kamath, Ajith V., Geraldine Lee, Ha‐Neul Kim, et al.. (2025). Semi-automated biofoundry workflows for sequence coevolution-guided isoprene synthase engineering. Trends in biotechnology. 44(1). 220–238. 2 indexed citations

Kim, Haseong, Nathan J. Hillson, Byung‐Kwan Cho, et al.. (2025). Abstraction hierarchy to define biofoundry workflows and operations for interoperable synthetic biology research and applications. Nature Communications. 16(1). 6056–6056.

Gupta, Anurag, Ha‐Neul Kim, Eugene Rha, et al.. (2025). Dsembler - DNA Assembly Designer: A Tool for Facilitating Assembly of Oligomers. Journal of Microbiology and Biotechnology. 35. e2412046–e2412046. 1 indexed citations

Xu, Yangyang, et al.. (2025). Real-time optical signal analysis in biomolecular detection using AI-based retroreflective Janus particles probes. Chemical Engineering Journal. 524. 169281–169281. 1 indexed citations

Kim, Tae-Ok, et al.. (2024). Microfluidics-driven high-throughput phenotyping and screening in synthetic biology: from single cells to cell-free systems. Biotechnology and Bioprocess Engineering. 29(1). 25–33. 13 indexed citations

Kim, Haseong, et al.. (2021). Distributed CRC scheme for low-complexity successive cancellation flip decoding of polar codes. ICT Express. 8(3). 409–413. 2 indexed citations

Kwon, Kil Koang, Haseong Kim, Soo‐Jin Yeom, et al.. (2021). Antagonistic Control of Genetic Circuit Performance for Rapid Analysis of Targeted Enzyme Activity in Living Cells. Frontiers in Molecular Biosciences. 7. 599878–599878. 2 indexed citations

Lee, Hyewon, Jin‐Young Lee, Jiyeong Jeong, et al.. (2021). Syntrophic co-culture of a methanotroph and heterotroph for the efficient conversion of methane to mevalonate. Metabolic Engineering. 67. 285–292. 24 indexed citations

Seong, Wonjae, Gui Hwan Han, Soo-Jung Kim, et al.. (2020). Adaptive laboratory evolution of Escherichia coli lacking cellular byproduct formation for enhanced acetate utilization through compensatory ATP consumption. Metabolic Engineering. 62. 249–259. 40 indexed citations

10.

Lee, Jin‐Young, Bong Hyun Sung, Kil Koang Kwon, et al.. (2019). C1 Compound Biosensors: Design, Functional Study, and Applications. International Journal of Molecular Sciences. 20(9). 2253–2253. 17 indexed citations

11.

Kim, Soo-Jung, Seong Keun Kim, Wonjae Seong, et al.. (2019). Enhanced (−)-α-Bisabolol Productivity by Efficient Conversion of Mevalonate in Escherichia coli. Catalysts. 9(5). 432–432. 12 indexed citations

12.

Yeom, Soo‐Jin, Moon Jung Kim, Seong Keun Kim, et al.. (2018). Molecular and biochemical characterization of a novel isoprene synthase from Metrosideros polymorpha. BMC Plant Biology. 18(1). 118–118. 7 indexed citations

13.

Yeom, Soo‐Jin, Gui Hwan Han, Kil Koang Kwon, et al.. (2017). Controlled Aggregation and Increased Stability of β-Glucuronidase by Cellulose Binding Domain Fusion. PLoS ONE. 12(1). e0170398–e0170398. 12 indexed citations

14.

Kim, Jaehee & Haseong Kim. (2017). Partitioning of functional gene expression data using principal points. BMC Bioinformatics. 18(1). 450–450. 3 indexed citations

15.

Yeom, Soo‐Jin, Jeongmin Lee, Kil Koang Kwon, et al.. (2016). Long-Term Stable and Tightly Controlled Expression of Recombinant Proteins in Antibiotics-Free Conditions. PLoS ONE. 11(12). e0166890–e0166890. 6 indexed citations

16.

Gam, Jongsik, et al.. (2015). Ratiometric analyses at critical temperatures can magnify the signal intensity of FRET-based sugar sensors with periplasmic binding proteins. Biosensors and Bioelectronics. 72. 37–43. 3 indexed citations

17.

Kim, Haseong & Erol Gelenbe. (2011). Stochastic Gene Expression Modeling with Hill Function for Switch-Like Gene Responses. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(4). 973–979. 23 indexed citations

18.

Kim, Haseong & Erol Gelenbe. (2009). Anomaly detection in gene expression via stochastic models of gene regulatory networks. BMC Genomics. 10(Suppl 3). S26–S26. 13 indexed citations

19.

Cho, Seoae, Haseong Kim, Sohee Oh, Kyunga Kim, & Taesung Park. (2009). Elastic-net regularization approaches for genome-wide association studies of rheumatoid arthritis. BMC Proceedings. 3(S7). S25–S25. 57 indexed citations

20.

Kim, Haseong, Jae K. Lee, & Taesung Park. (2007). Boolean networks using the chi-square test for inferring large-scale gene regulatory networks. BMC Bioinformatics. 8(1). 37–37. 35 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.

Explore authors with similar magnitude of impact