Yun Ji Park

2.0k total citations
57 papers, 1.6k citations indexed

About

Yun Ji Park is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Yun Ji Park has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Plant Science and 12 papers in Biochemistry. Recurrent topics in Yun Ji Park's work include Plant biochemistry and biosynthesis (10 papers), Metal-Catalyzed Oxygenation Mechanisms (7 papers) and Phytochemicals and Antioxidant Activities (7 papers). Yun Ji Park is often cited by papers focused on Plant biochemistry and biosynthesis (10 papers), Metal-Catalyzed Oxygenation Mechanisms (7 papers) and Phytochemicals and Antioxidant Activities (7 papers). Yun Ji Park collaborates with scholars based in South Korea, United States and Saudi Arabia. Yun Ji Park's co-authors include Alison R. Fout, Ellen M. Matson, Sang Un Park, Seung‐Taek Myung, Jae Hyeon Jo, Ji Ung Choi, Zachary Gordon, Jae Kwang Kim, Mariadhas Valan Arasu and Naïf Abdullah Al-Dhabi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Yun Ji Park

52 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
Yun Ji Park South Korea 24 459 317 282 240 215 57 1.6k
Mingyu Ding China 19 305 0.7× 364 1.1× 451 1.6× 111 0.5× 74 0.3× 48 1.8k
Hamayun Khan Pakistan 26 356 0.8× 189 0.6× 137 0.5× 87 0.4× 417 1.9× 71 1.8k
Kaijun Xiao China 27 349 0.8× 269 0.8× 315 1.1× 58 0.2× 560 2.6× 77 2.1k
Andreia F. Peixoto Portugal 23 131 0.3× 284 0.9× 93 0.3× 244 1.0× 243 1.1× 83 1.7k
Thierry Tron France 28 309 0.7× 566 1.8× 784 2.8× 185 0.8× 152 0.7× 72 1.8k
Limei Yu China 19 407 0.9× 118 0.4× 170 0.6× 129 0.5× 326 1.5× 58 1.7k
Mohammad K. Okla Saudi Arabia 27 368 0.8× 215 0.7× 515 1.8× 106 0.4× 936 4.4× 144 2.3k
Yun Liu China 26 356 0.8× 574 1.8× 269 1.0× 86 0.4× 503 2.3× 97 2.9k
J. Zhu China 23 342 0.7× 346 1.1× 120 0.4× 73 0.3× 95 0.4× 90 1.5k
Hongwei Fu China 30 1.6k 3.4× 416 1.3× 238 0.8× 42 0.2× 195 0.9× 103 2.5k

Countries citing papers authored by Yun Ji Park

Since Specialization
Citations

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

Fields of papers citing papers by Yun Ji Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Ji Park

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Ji Park. A scholar is included among the top collaborators of Yun Ji 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 Yun Ji Park. Yun Ji 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
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Jodts, Richard J., et al.. (2024). Initial Steps in Methanobactin Biosynthesis: Substrate Binding by the Mixed-Valent Diiron Enzyme MbnBC. Biochemistry. 63(9). 1170–1177. 8 indexed citations
4.
Lee, Hyein, Jung‐Seok Yang, Dae-Hyun Jung, et al.. (2023). Predicting Models for Plant Metabolites Based on PLSR, AdaBoost, XGBoost, and LightGBM Algorithms Using Hyperspectral Imaging of Brassica juncea. Agriculture. 13(8). 1477–1477. 29 indexed citations
5.
Lee, Su Hyeon, Seunghyun Ban, Yun Ji Park, et al.. (2023). Integrative analysis of metabolite and transcriptome reveals biosynthetic pathway and candidate genes for eupatilin and jaceosidin biosynthesis in Artemisia argyi. Frontiers in Plant Science. 14. 1186023–1186023. 6 indexed citations
6.
Park, Soo Hyun, et al.. (2022). Hyperspectral Imaging-Based Multiple Predicting Models for Functional Component Contents in Brassica juncea. Agriculture. 12(10). 1515–1515. 8 indexed citations
7.
Park, Yun Ji, et al.. (2022). Secondary Coordination Sphere Influences the Formation of Fe(III)-O or Fe(III)-OH in Nitrite Reduction: A Synthetic and Computational Study. Inorganic Chemistry. 61(21). 8182–8192. 24 indexed citations
8.
Park, Yun Ji, Richard J. Jodts, Valerie J. Winton, et al.. (2022). A mixed-valent Fe(II)Fe(III) species converts cysteine to an oxazolone/thioamide pair in methanobactin biosynthesis. Proceedings of the National Academy of Sciences. 119(13). e2123566119–e2123566119. 23 indexed citations
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Lee, Na Rae, et al.. (2021). Analysis of Effect of Non-drug intervention on the Elderly with Dementia in Korea: Meta-Analysis. Journal of the Korea Academia-Industrial cooperation Society. 22(4). 466–472. 1 indexed citations
11.
Park, Yun Ji, Nam Su Kim, Ramaraj Sathasivam, Yong Suk Chung, & Sang Un Park. (2021). Impact of copper treatment on phenylpropanoid biosynthesis in adventitious root culture of Althaea officinalis L.. Preparative Biochemistry & Biotechnology. 52(3). 283–291. 10 indexed citations
12.
Choi, Sang Chul, Yong Suk Chung, Yuna Kang, et al.. (2020). Prediction of Dhurrin Metabolism by Transcriptome and Metabolome Analyses in Sorghum. Plants. 9(10). 1390–1390. 9 indexed citations
13.
Park, Yun Ji, Ji Ung Choi, Jae Hyeon Jo, et al.. (2019). A New Strategy to Build a High‐Performance P′2‐Type Cathode Material through Titanium Doping for Sodium‐Ion Batteries. Advanced Functional Materials. 29(28). 94 indexed citations
14.
Park, Yun Ji, Grace E. Kenney, Luis F. Schachner, Neil L. Kelleher, & Amy C. Rosenzweig. (2018). Repurposed HisC Aminotransferases Complete the Biosynthesis of Some Methanobactins. Biochemistry. 57(25). 3515–3523. 16 indexed citations
15.
Park, Yun Ji, Soo-Yun Park, Soo-Yun Park, et al.. (2017). Accumulation of Carotenoids and Metabolic Profiling in Different Cultivars of Tagetes Flowers. Molecules. 22(2). 313–313. 45 indexed citations
16.
Jeon, Jin, Jae Kwang Kim, Hyeran Kim, et al.. (2017). Transcriptome analysis and metabolic profiling of green and red kale (Brassica oleracea var. acephala) seedlings. Food Chemistry. 241. 7–13. 63 indexed citations
17.
Park, Yun Ji, et al.. (2016). Composition of volatile compounds and in vitro antimicrobial activity of nine Mentha spp.. SpringerPlus. 5(1). 1628–1628. 63 indexed citations
18.
Park, Yun Ji, Xiaohua Li, Jae Kwang Kim, et al.. (2016). Transcriptome and metabolome analysis in shoot and root of Valeriana fauriei. BMC Genomics. 17(1). 303–303. 18 indexed citations
19.
Lim, Joohyun, Ji Hyun Um, Yun Ji Park, Yung‐Eun Sung, & Jin‐Kyu Lee. (2015). Simple Size Control of Spherical Titania Nanoparticles with KCl. Bulletin of the Korean Chemical Society. 36(4). 1258–1261. 1 indexed citations
20.
Kim, Yeon Bok, Sun‐Ju Kim, Woo Tae Park, et al.. (2013). Functional characterization of R2R3-MYB transcription factors in glucosinolate biosynthesis and abiotic stresses in Chinese cabbage (Brassica rapa ssp.pekinensis). 103–103. 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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