Eun-Jin Cho

2.4k total citations · 1 hit paper
13 papers, 1.9k citations indexed

About

Eun-Jin Cho is a scholar working on Molecular Biology, Biomedical Engineering and Infectious Diseases. According to data from OpenAlex, Eun-Jin Cho has authored 13 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Infectious Diseases. Recurrent topics in Eun-Jin Cho's work include Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers) and Advanced Biosensing Techniques and Applications (2 papers). Eun-Jin Cho is often cited by papers focused on Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers) and Advanced Biosensing Techniques and Applications (2 papers). Eun-Jin Cho collaborates with scholars based in South Korea, United States and Belgium. Eun-Jin Cho's co-authors include Yong‐Min Huh, Jin‐Suck Suh, Ho‐Taek Song, Jinwoo Cheon, Jung-tak Jang, Ho‐Geun Yoon, Young‐wook Jun, Jae‐Hyun Lee, Sung Jun Kim and Young-Jin Jeon and has published in prestigious journals such as Nature Medicine, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Eun-Jin Cho

12 papers receiving 1.9k citations

Hit Papers

align trajectories

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.

Artificially engineered magnetic nanoparticles for ultra-sensitive molecular imaging

2006 1.5k citations Jae‐Hyun Lee, Yong‐Min Huh et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eun-Jin Cho South Korea	10	910	905	745	457	268	13	1.9k
Heather Kalish United States	18	672 0.7×	855 0.9×	446 0.6×	594 1.3×	71 0.3×	34	2.1k
Aaron M. Mohs United States	30	693 0.8×	1.4k 1.5×	1.8k 2.4×	1.0k 2.3×	106 0.4×	71	3.6k
Huang‐Chiao Huang United States	24	744 0.8×	1.5k 1.7×	607 0.8×	690 1.5×	54 0.2×	64	2.7k
Andrzej S. Pitek United States	16	1.5k 1.7×	973 1.1×	569 0.8×	1.2k 2.5×	50 0.2×	19	2.8k
Kimberly S. Butler United States	24	688 0.8×	1000 1.1×	884 1.2×	777 1.7×	69 0.3×	42	2.6k
Yuanwei Pan China	26	430 0.5×	1.2k 1.3×	581 0.8×	592 1.3×	63 0.2×	63	1.9k
Eric Sun United States	9	554 0.6×	781 0.9×	372 0.5×	756 1.7×	72 0.3×	10	1.8k
Hanna Engelke Germany	26	574 0.6×	951 1.1×	887 1.2×	702 1.5×	117 0.4×	45	2.4k
Emily B. Ehlerding United States	33	861 0.9×	1.7k 1.8×	1.0k 1.4×	969 2.1×	66 0.2×	58	3.8k
Duyang Gao China	36	676 0.7×	2.6k 2.8×	1.8k 2.4×	965 2.1×	139 0.5×	83	3.7k

Countries citing papers authored by Eun-Jin Cho

Since Specialization

Citations

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

Fields of papers citing papers by Eun-Jin Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun-Jin Cho. 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 Eun-Jin Cho. The network helps show where Eun-Jin Cho may publish in the future.

Co-authorship network of co-authors of Eun-Jin Cho

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

All Works

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13 of 13 papers shown

Rigouts, Leen, Aditi Gupta, Jongseok Lee, et al.. (2016). Geographic Differences in the Contribution of ubiA Mutations to High-Level Ethambutol Resistance in Mycobacterium tuberculosis. Antimicrobial Agents and Chemotherapy. 60(7). 4101–4105. 24 indexed citations

Lim, Eun‐Kyung, Yuna Choi, Eun-Jin Cho, et al.. (2013). Aptamer-conjugated magnetic nanoparticles enable efficient targeted detection of integrin αvβ3 via magnetic resonance imaging. Journal of Biomedical Materials Research Part A. 102(1). 49–59. 25 indexed citations

Jeong, Chul-Ho, Yong‐Yeon Cho, Myoung-Ok Kim, et al.. (2012). Phosphorylation of Sox2 Cooperates in Reprogramming to Pluripotent Stem Cells. Stem Cells. 30(9). 2064–2064.

Cho, Eun-Jin, Jaemoon Yang, Khalid A. Mohamedali, et al.. (2011). Sensitive Angiogenesis Imaging of Orthotopic Bladder Tumors in Mice Using a Selective Magnetic Resonance Imaging Contrast Agent Containing VEGF121/rGel. Investigative Radiology. 46(7). 441–449. 30 indexed citations

Kim, Hyun Joo, et al.. (2011). Popping Pretreatment for Enzymatic Hydrolysis of Waste Wood. Journal of the Korean Wood Science and Technology. 39(1). 95–103. 3 indexed citations

Jeong, Chul-Ho, Yong‐Yeon Cho, Myoung-Ok Kim, et al.. (2010). Phosphorylation of Sox2 Cooperates in Reprogramming to Pluripotent Stem Cells. Stem Cells. 28(12). 2141–2150. 117 indexed citations

Chakravorty, Soumitesh, Jong Seok Lee, Eun Gae Lee, et al.. (2010). Rapid Detection of Fluoroquinolone-Resistant and Heteroresistant Mycobacterium tuberculosis by Use of Sloppy Molecular Beacons and Dual Melting-Temperature Codes in a Real-Time PCR Assay. Journal of Clinical Microbiology. 49(3). 932–940. 40 indexed citations

Shamputa, Isdore Chola, Jongseok Lee, Caroline Allix‐Béguec, et al.. (2009). Genetic Diversity of Mycobacterium tuberculosis Isolates from a Tertiary Care Tuberculosis Hospital in South Korea. Journal of Clinical Microbiology. 48(2). 387–394. 63 indexed citations

Kim, Kyujung, Dong Joon Kim, Eun-Jin Cho, et al.. (2008). Nanograting-based plasmon enhancement for total internal reflection fluorescence microscopy of live cells. Nanotechnology. 20(1). 15202–15202. 23 indexed citations

10.

Kim, Kyujung, Eun-Jin Cho, Yong‐Min Huh, & Donghyun Kim. (2007). Thin-film-based sensitivity enhancement for total internal reflection fluorescence live-cell imaging. Optics Letters. 32(21). 3062–3062. 9 indexed citations

11.

Kim, Kyujung, Donghyun Kim, Eun-Jin Cho, & Yong‐Min Huh. (2007). A quantitative analysis of the intracellular transport of quantum dot-peptide in live cells using total internal reflection and confocal microscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6449. 64490K–64490K. 5 indexed citations

12.

Ko, In Kap, Ho‐Taek Song, Eun-Jin Cho, et al.. (2006). In vivo MR Imaging of Tissue-engineered Human Mesenchymal Stem Cells Transplanted to Mouse: a Preliminary Study. Annals of Biomedical Engineering. 35(1). 101–108. 35 indexed citations

13.

Lee, Jae‐Hyun, Yong‐Min Huh, Young‐wook Jun, et al.. (2006). Artificially engineered magnetic nanoparticles for ultra-sensitive molecular imaging. Nature Medicine. 13(1). 95–99. 1549 indexed citations breakdown →

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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