Ye Jin Kim

1.2k total citations
83 papers, 896 citations indexed

About

Ye Jin Kim is a scholar working on Molecular Biology, Plant Science and Mechanical Engineering. According to data from OpenAlex, Ye Jin Kim has authored 83 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 14 papers in Plant Science and 13 papers in Mechanical Engineering. Recurrent topics in Ye Jin Kim's work include Aluminum Alloys Composites Properties (8 papers), Magnesium Alloys: Properties and Applications (8 papers) and Hereditary Neurological Disorders (7 papers). Ye Jin Kim is often cited by papers focused on Aluminum Alloys Composites Properties (8 papers), Magnesium Alloys: Properties and Applications (8 papers) and Hereditary Neurological Disorders (7 papers). Ye Jin Kim collaborates with scholars based in South Korea, Saudi Arabia and Pakistan. Ye Jin Kim's co-authors include Sung Hyuk Park, Jae Kwang Kim, Jong Un Lee, Sang‐Hoon Kim, Jun Ho Bae, Young Min Kim, Ki Wha Chung, Bong Sun You, Sang Un Park and Seung‐Hoon Yoo and has published in prestigious journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and Developmental Cell.

In The Last Decade

Ye Jin Kim

78 papers receiving 861 citations

Peers

Ye Jin Kim

BIOMA

Shuna Chen China

Augusto Ducati Luchessi Brazil

Hu Meng China

Jianyi Wang China

Woo‐Ram Lee South Korea

Wei Zeng China

Sungmin Moon South Korea

Cuicui Sun China

Shengfeng Chen China

Rui Ye China

Shuna Chen China

Ye Jin Kim

211 ×0.6

250 ×1.3

130 ×0.7

BIOMA

138 ×1.5

167 ×1.8

Citations per year, relative to Ye Jin Kim Ye Jin Kim (= 1×) peers Shuna Chen

Countries citing papers authored by Ye Jin Kim

Since Specialization

Citations

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

Fields of papers citing papers by Ye Jin Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Jin Kim

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

All Works

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20 of 20 papers shown

Kim, Ye Jin, Eun Hee Choi, Y. Kim, et al.. (2025). Integrative metabolic profiling of hypothalamus and skeletal muscle in a mouse model of cancer cachexia. Biochemical and Biophysical Research Communications. 763. 151766–151766.

Kim, Ye Jin, et al.. (2025). A thermodynamically guided interfacial precipitation strategy for high-power and long-life Ni-rich layered cathodes. Journal of Energy Chemistry. 114. 608–617.

Song, Min Seok, Min Kyo Jung, Kihyuck Kwak, et al.. (2025). Tubular ER structures shaped by ER-phagy receptors engage in stress-induced Golgi bypass. Developmental Cell. 60(11). 1568–1585.e11. 2 indexed citations

Kim, Byeong‐Hoon, Ye Jin Kim, Jae Kwang Kim, et al.. (2024). Molecular protocol to develop β-carotene-biofortified rice events via molecular optimization. Plant Physiology and Biochemistry. 215. 109051–109051. 1 indexed citations

Khan, Muhammad Attique, et al.. (2023). Human Gait Recognition Based on Sequential Deep Learning and Best Features Selection. Computers, materials & continua/Computers, materials & continua (Print). 75(3). 5123–5140. 6 indexed citations

Kang, Yuna, Jun‐Ho Song, Ye Jin Kim, et al.. (2023). A Frameshift Mutation in the Mg-Chelatase I Subunit Gene OsCHLI Is Associated with a Lethal Chlorophyll-Deficient, Yellow Seedling Phenotype in Rice. Plants. 12(15). 2831–2831. 7 indexed citations

Oh, Sung‐Dug, Ye Jin Kim, Soon Kil Ahn, et al.. (2023). Chemical profiling of insect-resistant rice shows that geographical variations produce greater differences in chemical composition than genetic modifications. Plant Biotechnology Reports. 2 indexed citations

Gupta, Ravi, Cheol Woo Min, Jun Hyeon Cho, et al.. (2023). Integrated “-omics” analysis highlights the role of brassinosteroid signaling and antioxidant machinery underlying improved rice seed longevity during artificial aging treatment. Plant Physiology and Biochemistry. 206. 108308–108308. 2 indexed citations

Manzoor, Sohaib, Saddaf Rubab, Muhammad Attique Khan, et al.. (2023). WiMA: Towards a Multi-Criterion Association in Software Defined Wi-Fi Networks. Computers, materials & continua/Computers, materials & continua (Print). 75(2). 2347–2363. 3 indexed citations

10.

Hwang, Su Jin, Ye Jin Kim, Dong Hoon Shin, et al.. (2022). TMED3 Complex Mediates ER Stress‐Associated Secretion of CFTR, Pendrin, and SARS‐CoV‐2 Spike. Advanced Science. 9(24). e2105320–e2105320. 16 indexed citations

11.

Kim, Ye Jin, Byong Seo Park, Thai Hien Tu, et al.. (2022). Metabolic profiling in the hypothalamus of aged mice. Biochemical and Biophysical Research Communications. 599. 134–141. 4 indexed citations

12.

Kim, Ye Jin, et al.. (2022). Vase Life of Cut Rose ‘Antique Curl’ as Affected by Storage Period after Harvest. Flower Research Journal. 30(3). 129–135. 3 indexed citations

13.

Kim, Ye Jin, Sung‐Dug Oh, Ju‐Seok Seo, et al.. (2021). Effects of genotype and environment on the nutrient and metabolic profiles of soybeans genetically modified with epidermal growth factor or thioredoxin compared with conventional soybeans. Industrial Crops and Products. 175. 114229–114229. 6 indexed citations

14.

Kim, Ye Jin, Thai Hien Tu, Sunggu Yang, Jae Kwang Kim, & Jae Geun Kim. (2020). Characterization of Fatty Acid Composition Underlying Hypothalamic Inflammation in Aged Mice. Molecules. 25(14). 3170–3170. 7 indexed citations

15.

Kim, Ye Jin, Dae‐Young Lee, Dahye Yoon, et al.. (2020). Serum Metabolic Profiling Reveals Potential Anti-Inflammatory Effects of the Intake of Black Ginseng Extracts in Beagle Dogs. Molecules. 25(16). 3759–3759. 7 indexed citations

16.

Lee, Jong Un, Ye Jin Kim, Sang‐Hoon Kim, et al.. (2019). Texture tailoring and bendability improvement of rolled AZ31 alloy using {10–12} twinning: The effect of precompression levels. Journal of Magnesium and Alloys. 7(4). 648–660. 52 indexed citations

17.

Kim, Ye Jin, et al.. (2015). An Exploratory Study on the Interaction Pattern and Shared Mental Model in a Web-based Collaborative Learning. EdMedia: World Conference on Educational Media and Technology. 2015(1). 779–785. 1 indexed citations

18.

Shin, Min Jae, Ye Jin Kim, & Jong-Duk Kim. (2015). Chromatic response of polydiacetylene vesicle induced by the permeation of methotrexate. Soft Matter. 11(25). 5037–5043. 14 indexed citations

19.

Nakhro, Khriezhanuo, Ye Jin Kim, Jeong Hyun Yoo, et al.. (2013). A novel Lys141Thr mutation in small heat shock protein 22 (HSPB8) gene in Charcot–Marie–Tooth disease type 2L. Neuromuscular Disorders. 23(8). 656–663. 34 indexed citations

20.

Kim, Ye Jin, et al.. (2010). 바이오디젤 생산을 위한 리파아제 고정 부직포의 효소활성화. Korean Journal of Chemical Engineering. 48(1). 121–127. 2 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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