Seo‐Young Park

1.9k total citations
84 papers, 1.4k citations indexed

About

Seo‐Young Park is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Seo‐Young Park has authored 84 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Biomedical Engineering. Recurrent topics in Seo‐Young Park's work include Viral Infectious Diseases and Gene Expression in Insects (16 papers), Wnt/β-catenin signaling in development and cancer (12 papers) and Microbial Metabolic Engineering and Bioproduction (11 papers). Seo‐Young Park is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (16 papers), Wnt/β-catenin signaling in development and cancer (12 papers) and Microbial Metabolic Engineering and Bioproduction (11 papers). Seo‐Young Park collaborates with scholars based in South Korea, United States and Japan. Seo‐Young Park's co-authors include Sangtaek Oh, Jungsug Gwak, Dong‐Yup Lee, Chung S. Yang, Dong‐Eun Kim, Seongkyu Yoon, Munju Cho, Jae‐Gook Shin, Silvana Pannain and Theodore Karrison and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Seo‐Young Park

79 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seo‐Young Park South Korea 21 703 294 169 153 96 84 1.4k
Zhenyu Liu China 24 783 1.1× 152 0.5× 111 0.7× 127 0.8× 57 0.6× 88 1.4k
Rachana Patel United Kingdom 22 601 0.9× 218 0.7× 200 1.2× 217 1.4× 174 1.8× 56 1.6k
Liang Zhao United States 25 741 1.1× 513 1.7× 325 1.9× 247 1.6× 120 1.3× 147 2.5k
Huan Wu China 26 1.2k 1.7× 200 0.7× 167 1.0× 384 2.5× 91 0.9× 189 2.4k
Ashok Sharma India 24 931 1.3× 464 1.6× 168 1.0× 303 2.0× 304 3.2× 67 2.2k
Chao Duan China 22 761 1.1× 189 0.6× 184 1.1× 329 2.2× 92 1.0× 102 1.8k
Yilong Li China 21 552 0.8× 207 0.7× 111 0.7× 191 1.2× 160 1.7× 59 1.7k
Zijing Liu China 22 465 0.7× 152 0.5× 156 0.9× 191 1.2× 43 0.4× 54 1.5k
Guangxia Chen China 20 610 0.9× 185 0.6× 106 0.6× 305 2.0× 152 1.6× 49 1.1k

Countries citing papers authored by Seo‐Young Park

Since Specialization
Citations

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

Fields of papers citing papers by Seo‐Young Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seo‐Young Park. 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 Seo‐Young Park. The network helps show where Seo‐Young Park may publish in the future.

Co-authorship network of co-authors of Seo‐Young Park

This figure shows the co-authorship network connecting the top 25 collaborators of Seo‐Young Park. A scholar is included among the top collaborators of Seo‐Young Park 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 Seo‐Young Park. Seo‐Young Park 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.
2.
Park, Seo‐Young, Dong-Seok Kim, Dong Kyung Sung, et al.. (2025). Deciphering dynamic antibiotics-microbiome-metabolome interactions in preterm infants using systems biology. iScience. 28(8). 113038–113038.
3.
Demissie, E., et al.. (2025). Comparative Analysis of Codon Optimization Tools: Advancing toward a Multi-Criteria Framework for Synthetic Gene Design. Journal of Microbiology and Biotechnology. 35. e2411066–e2411066. 4 indexed citations
4.
Park, Seo‐Young, et al.. (2025). A robust scale-down model development and process characterization for monoclonal antibody biomanufacturing using multivariate data analysis. Journal of Biotechnology. 401. 11–20. 2 indexed citations
5.
Park, Seo‐Young, et al.. (2024). Purification and characterisation of laccase from the medicinal wild mushroom Coriolus brevis. Process Biochemistry. 146. 13–20. 4 indexed citations
6.
Park, Seo‐Young, Meiyappan Lakshmanan, Anne Richelle, et al.. (2024). Driving towards digital biomanufacturing by CHO genome-scale models. Trends in biotechnology. 42(9). 1192–1203. 9 indexed citations
7.
Park, Seo‐Young, et al.. (2024). Exploring metabolic effects of dipeptide feed media on CHO cell cultures by in silico model-guided flux analysis. Applied Microbiology and Biotechnology. 108(1). 123–123. 6 indexed citations
8.
Song, Hyun‐Seob, et al.. (2024). Kinetics-based inference of environment-dependent microbial interactions and their dynamic variation. mSystems. 9(5). e0130523–e0130523. 5 indexed citations
9.
Park, Seo‐Young, et al.. (2023). Data‐driven prediction models for forecasting multistep ahead profiles of mammalian cell culture toward bioprocess digital twins. Biotechnology and Bioengineering. 120(9). 2494–2508. 20 indexed citations
10.
Park, Seo‐Young, et al.. (2023). Debottlenecking and reformulating feed media for improved CHO cell growth and titer by data‐driven and model‐guided analyses. Biotechnology Journal. 18(12). e2300126–e2300126. 5 indexed citations
11.
Yeo, Hock Chuan, et al.. (2022). Combined multivariate statistical and flux balance analyses uncover media bottlenecks to the growth and productivity of Chinese hamster ovary cell cultures. Biotechnology and Bioengineering. 119(7). 1740–1754. 14 indexed citations
12.
Park, Seo‐Young, et al.. (2021). Bioprocess digital twins of mammalian cell culture for advanced biomanufacturing. Current Opinion in Chemical Engineering. 33. 100702–100702. 41 indexed citations
13.
Park, Seo‐Young, Anthony J. Cura, Xuankuo Xu, et al.. (2021). Untargeted proteomics reveals upregulation of stress response pathways during CHO-based monoclonal antibody manufacturing process leading to disulfide bond reduction. mAbs. 13(1). 1963094–1963094. 6 indexed citations
14.
Park, Seo‐Young, et al.. (2020). Emerging computational tools and models for studying gut microbiota composition and function. Current Opinion in Biotechnology. 66. 301–311. 14 indexed citations
15.
16.
Park, Seo‐Young, et al.. (2018). Mediating Effect of Organizational Identification between CSR and Job Satisfaction: Focusing on Casino Employees. Journal of Digital Convergence. 16(11). 571–580. 1 indexed citations
17.
An, Su Yeon, Jiyou Han, Hee-Joung Lim, et al.. (2014). Valproic acid promotes differentiation of hepatocyte-like cells from whole human umbilical cord-derived mesenchymal stem cells. Tissue and Cell. 46(2). 127–135. 42 indexed citations
18.
Park, Seo‐Young, et al.. (2009). Whitening Effects of Mori Ramulus, Mori Cortex Radicis and Mori Folium Herbal-acupuncture Solution after Fermentation and Heating. 26(1). 91–98. 4 indexed citations
19.
Park, Seo‐Young, et al.. (2006). A Development of Integrated Prototype Model for Risk Management of Construction Projects. Journal of the Korean Society of Civil Engineers. 26. 469–480. 1 indexed citations
20.
Park, Seo‐Young, et al.. (2006). Procedural Model of XML Schema Framework for Digitalizing Disaster Information Management for Construction Facility. Korean Journal of Construction Engineering and Management. 7(3). 56–64. 1 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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