Junyoung O. Park

3.2k total citations
37 papers, 2.1k citations indexed

About

Junyoung O. Park is a scholar working on Molecular Biology, Environmental Engineering and Genetics. According to data from OpenAlex, Junyoung O. Park has authored 37 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 5 papers in Environmental Engineering and 4 papers in Genetics. Recurrent topics in Junyoung O. Park's work include Microbial Metabolic Engineering and Bioproduction (12 papers), Microbial Fuel Cells and Bioremediation (5 papers) and Mitochondrial Function and Pathology (4 papers). Junyoung O. Park is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (12 papers), Microbial Fuel Cells and Bioremediation (5 papers) and Mitochondrial Function and Pathology (4 papers). Junyoung O. Park collaborates with scholars based in United States, South Korea and China. Junyoung O. Park's co-authors include Joshua D. Rabinowitz, Bernhard Ø. Palsson, Tom M Conrad, Jan Schellenberger, Jing Fan, Daniel Amador‐Noguez, Sara A. Rubin, Tomer Shlomi, Lukas B. Tanner and Monica Wei and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Junyoung O. Park

35 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junyoung O. Park United States 18 1.6k 337 227 222 141 37 2.1k
Christopher P. Long United States 24 1.3k 0.8× 346 1.0× 268 1.2× 202 0.9× 118 0.8× 27 1.6k
Lake‐Ee Quek Australia 25 1.9k 1.2× 520 1.5× 239 1.1× 123 0.6× 147 1.0× 53 2.3k
Xinxin Zhang China 24 1.4k 0.9× 143 0.4× 300 1.3× 150 0.7× 101 0.7× 123 2.5k
A. Wahl Netherlands 25 1.6k 1.0× 488 1.4× 81 0.4× 130 0.6× 50 0.4× 90 2.0k
Jianguo Yang China 26 1.7k 1.1× 69 0.2× 341 1.5× 175 0.8× 140 1.0× 46 2.4k
Li Feng China 25 1.6k 1.0× 156 0.5× 102 0.4× 189 0.9× 60 0.4× 72 2.7k
Daniel Yuan United States 24 2.5k 1.6× 142 0.4× 72 0.3× 328 1.5× 85 0.6× 47 4.5k
Hongyan Liu China 27 1.5k 1.0× 99 0.3× 211 0.9× 95 0.4× 169 1.2× 137 2.7k
Tanveer S. Batth United States 29 3.2k 2.1× 709 2.1× 101 0.4× 228 1.0× 78 0.6× 41 3.8k
Guangsheng Pei United States 24 1.1k 0.7× 217 0.6× 237 1.0× 207 0.9× 413 2.9× 81 2.5k

Countries citing papers authored by Junyoung O. Park

Since Specialization
Citations

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

Fields of papers citing papers by Junyoung O. Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junyoung O. 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 Junyoung O. Park. The network helps show where Junyoung O. Park may publish in the future.

Co-authorship network of co-authors of Junyoung O. Park

This figure shows the co-authorship network connecting the top 25 collaborators of Junyoung O. Park. A scholar is included among the top collaborators of Junyoung O. 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 Junyoung O. Park. Junyoung O. 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.
Zhang, Jing, Seong Eun Lee, Bon Jeong Ku, et al.. (2025). Metabolite biomarkers in lung cancer: unlocking the potential of body fluid analysis for early detection and prognosis—a narrative review. Translational Lung Cancer Research. 14(9). 4095–4111.
2.
Lee, Seong Eun, et al.. (2025). Multifaceted role of serine hydroxymethyltransferase in health and disease. Molecules and Cells. 48(9). 100262–100262.
3.
Xie, Yongchao, Xun Guan, Jihui Sha, et al.. (2024). Integrated Proteomics and Metabolomics Reveal Altered Metabolic Regulation of Xanthobacter autotrophicus under Electrochemical Water-Splitting Conditions. ACS Applied Materials & Interfaces. 16(31). 40973–40979. 1 indexed citations
4.
Gao, Yifan, Haiyuan Zou, Mallikarjuna N. Nadagouda, et al.. (2024). Laccase Immobilized on Arginine-Functionalized Boron Nitride Nanosheets for Enhanced Atrazine Degradation. Environmental Science & Technology. 11 indexed citations
5.
Chen, Ximin, Laurence C. Chen, Mihe Hong, et al.. (2024). Extracellular domains of CARs reprogramme T cell metabolism without antigen stimulation. Nature Metabolism. 6(6). 1143–1160. 8 indexed citations
6.
Kang, Da Hyun, et al.. (2023). Toward Systems-Level Metabolic Analysis in Endocrine Disorders and Cancer. Endocrinology and Metabolism. 38(6). 619–630. 1 indexed citations
7.
Park, Junyoung O., et al.. (2023). A parallel glycolysis provides a selective advantage through rapid growth acceleration. Nature Chemical Biology. 20(3). 314–322. 14 indexed citations
8.
Liu, Nian, et al.. (2023). Sustainable metabolic engineering requires a perfect trifecta. Current Opinion in Biotechnology. 83. 102983–102983. 7 indexed citations
9.
Nakano, Haruko, J. C. Thompson, A. Pfeiffer, et al.. (2023). Atlas of fetal metabolism during mid-to-late gestation and diabetic pregnancy. Cell. 187(1). 204–215.e14. 25 indexed citations
10.
Guan, Xun, Sevcan Erşan, Xiangchen Hu, et al.. (2022). Maximizing light-driven CO2 and N2 fixation efficiency in quantum dot–bacteria hybrids. Nature Catalysis. 5(11). 1019–1029. 89 indexed citations
11.
Erşan, Sevcan, et al.. (2022). Integrative metabolic flux analysis reveals an indispensable dimension of phenotypes. Current Opinion in Biotechnology. 75. 102701–102701. 10 indexed citations
12.
Polasko, Alexandra Lapat, et al.. (2021). Vinyl chloride and 1,4-dioxane metabolism by Pseudonocardia dioxanivorans CB1190. SHILAP Revista de lepidopterología. 2. 100039–100039. 7 indexed citations
13.
Erşan, Sevcan & Junyoung O. Park. (2020). Light-Independent Biological Conversion of CO2. Joule. 4(10). 2047–2051. 27 indexed citations
14.
Xu, Jimmy P., et al.. (2020). Metabolic flux analysis and fluxomics-driven determination of reaction free energy using multiple isotopes. Current Opinion in Biotechnology. 64. 151–160. 19 indexed citations
15.
Park, Junyoung O., Lukas B. Tanner, Monica Wei, et al.. (2019). Near-equilibrium glycolysis supports metabolic homeostasis and energy yield. Nature Chemical Biology. 15(10). 1001–1008. 51 indexed citations
16.
Park, Junyoung O., Nian Liu, David Emerson, et al.. (2019). Synergistic substrate cofeeding stimulates reductive metabolism. Nature Metabolism. 1(6). 643–651. 79 indexed citations
17.
Tanner, Lukas B., Alexander G. Goglia, Monica Wei, et al.. (2018). Four Key Steps Control Glycolytic Flux in Mammalian Cells. Cell Systems. 7(1). 49–62.e8. 272 indexed citations
18.
Li, Hsin‐Jung, Zhiyuan Li, Junyoung O. Park, et al.. (2018). Escherichia coli translation strategies differ across carbon, nitrogen and phosphorus limitation conditions. Nature Microbiology. 3(8). 939–947. 102 indexed citations
19.
Hackett, Sean R., Vito Riccardo Tomaso Zanotelli, Wenxin Xu, et al.. (2016). Systems-level analysis of mechanisms regulating yeast metabolic flux. Science. 354(6311). 206 indexed citations
20.
Park, Junyoung O., Sara A. Rubin, Daniel Amador‐Noguez, et al.. (2016). Metabolite concentrations, fluxes and free energies imply efficient enzyme usage. Nature Chemical Biology. 12(7). 482–489. 302 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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