Ji Eun Lee

2.1k total citations · 1 hit paper
57 papers, 1.6k citations indexed

About

Ji Eun Lee is a scholar working on Molecular Biology, Epidemiology and Obstetrics and Gynecology. According to data from OpenAlex, Ji Eun Lee has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Epidemiology and 9 papers in Obstetrics and Gynecology. Recurrent topics in Ji Eun Lee's work include Preterm Birth and Chorioamnionitis (12 papers), Pregnancy and preeclampsia studies (9 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Ji Eun Lee is often cited by papers focused on Preterm Birth and Chorioamnionitis (12 papers), Pregnancy and preeclampsia studies (9 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Ji Eun Lee collaborates with scholars based in South Korea, United States and Netherlands. Ji Eun Lee's co-authors include Hye Jin Lee, John C. Tran, Neil L. Kelleher, Leonid Zamdborg, Kenneth R. Durbin, Steve M. M. Sweet, John F. Kellie, Adam D. Catherman, Mingxi Li and Dorothy R. Ahlf and has published in prestigious journals such as Nature, ACS Nano and PLoS ONE.

In The Last Decade

Ji Eun Lee

55 papers receiving 1.6k citations

Hit Papers

Mapping intact protein isoforms in discovery mode using t... 2011 2026 2016 2021 2011 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Mapping intact protein isoforms in discovery mode using top-down proteomics
    2011 502 citations John C. Tran, Leonid Zamdborg et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Eun Lee South Korea 19 880 468 212 158 144 57 1.6k
Yiping Gu Canada 17 505 0.6× 218 0.5× 416 2.0× 223 1.4× 107 0.7× 33 1.8k
Brian Christensen Denmark 25 897 1.0× 83 0.2× 230 1.1× 34 0.2× 133 0.9× 44 2.0k
Mon‐Juan Lee Taiwan 23 616 0.7× 60 0.1× 285 1.3× 191 1.2× 71 0.5× 66 1.4k
Jasmeen S. Merzaban Saudi Arabia 23 1.4k 1.6× 98 0.2× 602 2.8× 43 0.3× 66 0.5× 52 2.7k
Fugang Li China 22 823 0.9× 78 0.2× 131 0.6× 49 0.3× 81 0.6× 56 1.9k
Dan Yan China 28 976 1.1× 84 0.2× 216 1.0× 220 1.4× 334 2.3× 92 2.4k
Wenyue Xie China 17 296 0.3× 41 0.1× 252 1.2× 91 0.6× 54 0.4× 41 747
Jon J. Ladd United States 18 1.1k 1.2× 67 0.1× 678 3.2× 251 1.6× 32 0.2× 25 2.1k
Yin Gao China 19 478 0.5× 79 0.2× 95 0.4× 24 0.2× 21 0.1× 69 952
Nadir Bettache France 20 551 0.6× 45 0.1× 161 0.8× 31 0.2× 92 0.6× 64 1.3k

Countries citing papers authored by Ji Eun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ji Eun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Eun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Eun Lee. A scholar is included among the top collaborators of Ji Eun Lee 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 Ji Eun Lee. Ji Eun Lee 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.
Kim, Kyoung‐Ran, Ji Hee Kang, Chengde Mao, et al.. (2024). Systemic Brain Delivery of Oligonucleotide Therapeutics Enhanced by Protein Corona‐Assisted DNA Cubes. Small Methods. 9(6). e2400902–e2400902. 8 indexed citations
2.
Lee, Heejin, So Young Yoo, Ji‐Won Chun, et al.. (2024). Decreased Serum Cocaine- and Amphetamine-Regulated Transcript Level in Internet Gaming Disorder. Psychiatry Investigation. 21(7). 755–761.
3.
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Han, Gyeong Ho, Junhyeong Kim, Ji Eun Lee, et al.. (2023). Self-supported electrodes to enhance mass transfer for high-performance anion exchange membrane water electrolyzer. Chemical Engineering Journal. 460. 141727–141727. 37 indexed citations
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Shin, Jonghwan, Mi‐Jung Ji, Su Jin Lee, et al.. (2023). Quantitative proteomic analysis of human serum using tandem mass tags to predict cardiovascular risks in patients with psoriasis. Scientific Reports. 13(1). 2869–2869. 3 indexed citations
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Kim, Hyo‐Suk, Geonhee Han, Su Jin Lee, et al.. (2022). Extracellular vesicle-guided in situ reprogramming of synovial macrophages for the treatment of rheumatoid arthritis. Biomaterials. 286. 121578–121578. 45 indexed citations
9.
Kim, Hyo‐Suk, Hyun‐Ju Park, Hyo Won Chang, et al.. (2022). Exosome-guided direct reprogramming of tumor-associated macrophages from protumorigenic to antitumorigenic to fight cancer. Bioactive Materials. 25. 527–540. 42 indexed citations
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Seo, Su‐Yeong, Ji Eun Lee, Kangwon Lee, & Hong Nam Kim. (2021). Effects of microenvironmental factors on assessing nanoparticle toxicity. Environmental Science Nano. 9(2). 454–476. 6 indexed citations
12.
Jo, Seong‐Min, et al.. (2021). Multimodal Enzyme‐Carrying Suprastructures for Rapid and Sensitive Biocatalytic Cascade Reactions. Advanced Science. 9(10). e2104884–e2104884. 17 indexed citations
13.
Lee, Sang Hyuk, Yae Eun Park, Ji Eun Lee, & Hye Jin Lee. (2020). A surface plasmon resonance biosensor in conjunction with a DNA aptamer-antibody bioreceptor pair for heterogeneous nuclear ribonucleoprotein A1 concentrations in colorectal cancer plasma solutions. Biosensors and Bioelectronics. 154. 112065–112065. 30 indexed citations
14.
Choi, Seungbum, Yae Eun Park, Eun Jung Cheon, et al.. (2019). Novel Associations between Related Proteins and Cellular Effects of High-Density Lipoprotein. Korean Circulation Journal. 50(3). 236–236. 1 indexed citations
15.
Kim, Hyo‐Suk, Gijung Kwak, Hong Yeol Yoon, et al.. (2018). Development of Biocompatible HA Hydrogels Embedded with a New Synthetic Peptide Promoting Cellular Migration for Advanced Wound Care Management. Advanced Science. 5(11). 1800852–1800852. 96 indexed citations
16.
Park, Kyong Hwa, et al.. (2018). Phosphoproteomic analysis reveals PAK2 as a therapeutic target for lapatinib resistance in HER2-positive breast cancer cells. Biochemical and Biophysical Research Communications. 505(1). 187–193. 14 indexed citations
17.
Yeom, Jeonghun, Min‐Jung Kang, Dongyun Shin, et al.. (2015). mTRAQ-based quantitative analysis combined with peptide fractionation based on cysteinyl peptide enrichment. Analytical Biochemistry. 477. 41–49. 2 indexed citations
18.
Karim, Md Nurul, Ji Eun Lee, & Hye Jin Lee. (2014). Amperometric detection of catechol using tyrosinase modified electrodes enhanced by the layer-by-layer assembly of gold nanocubes and polyelectrolytes. Biosensors and Bioelectronics. 61. 147–151. 55 indexed citations
19.
Kim, Jun Seok, Hee‐Sung Ahn, Soo Min Cho, et al.. (2014). Detection and quantification of plasma amyloid-β by selected reaction monitoring mass spectrometry. Analytica Chimica Acta. 840. 1–9. 29 indexed citations
20.
Durbin, Kenneth R., John C. Tran, Leonid Zamdborg, et al.. (2010). Intact mass detection, interpretation, and visualization to automate Top‐Down proteomics on a large scale. PROTEOMICS. 10(20). 3589–3597. 46 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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