Minseon Cho

1.5k total citations
9 papers, 1.2k citations indexed

About

Minseon Cho is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Minseon Cho has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Biomedical Engineering. Recurrent topics in Minseon Cho's work include Advanced biosensing and bioanalysis techniques (8 papers), Biosensors and Analytical Detection (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Minseon Cho is often cited by papers focused on Advanced biosensing and bioanalysis techniques (8 papers), Biosensors and Analytical Detection (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Minseon Cho collaborates with scholars based in United States, South Korea and France. Minseon Cho's co-authors include Changill Ban, Kyung-Mi Song, Kyoungin Min, H. Tom Soh, Hunho Jo, Seung Soo Oh, Sung Ho Jeon, Ja Kang Ku, Yi Xiao and Min Su Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biomaterials and Analytical Chemistry.

In The Last Decade

Minseon Cho

9 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minseon Cho United States	9	1.1k	697	117	103	89	9	1.2k
Andrew T. Csordas United States	15	1.2k 1.0×	760 1.1×	99 0.8×	168 1.6×	84 0.9×	19	1.4k
Rebeca Miranda‐Castro Spain	26	1.1k 1.0×	693 1.0×	92 0.8×	209 2.0×	55 0.6×	53	1.3k
Yoann Roupioz France	22	817 0.7×	658 0.9×	73 0.6×	146 1.4×	70 0.8×	57	1.2k
Matthew R. Dunn United States	10	1.2k 1.1×	409 0.6×	111 0.9×	123 1.2×	34 0.4×	11	1.4k
Pablo Lozano-Sánchez Spain	11	662 0.6×	391 0.6×	65 0.6×	241 2.3×	71 0.8×	29	911
Maryam Daneshpour Iran	12	565 0.5×	367 0.5×	131 1.1×	214 2.1×	70 0.8×	20	891
Debapriya Mazumdar United States	9	948 0.8×	646 0.9×	193 1.6×	94 0.9×	30 0.3×	10	1.1k
Pavel Damborský Slovakia	11	570 0.5×	494 0.7×	90 0.8×	187 1.8×	73 0.8×	12	847
Ji Hoon Lee United States	17	568 0.5×	367 0.5×	134 1.1×	82 0.8×	22 0.2×	26	684

Countries citing papers authored by Minseon Cho

Since Specialization

Citations

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

Fields of papers citing papers by Minseon Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minseon Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Minseon Cho. A scholar is included among the top collaborators of Minseon 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 Minseon Cho. Minseon 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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9 of 9 papers shown

Cho, Minseon, Seung Soo Oh, Jeff Nie, et al.. (2014). Array-based Discovery of Aptamer Pairs. Analytical Chemistry. 87(1). 821–828. 42 indexed citations

Cho, Minseon, Seung Soo Oh, Jeff Nie, et al.. (2013). Quantitative selection and parallel characterization of aptamers. Proceedings of the National Academy of Sciences. 110(46). 18460–18465. 98 indexed citations

Song, Kyung-Mi, et al.. (2012). Aptasensor for ampicillin using gold nanoparticle based dual fluorescence–colorimetric methods. Analytical and Bioanalytical Chemistry. 402(6). 2153–2161. 187 indexed citations

Song, Kyung-Mi, Minseon Cho, Hunho Jo, et al.. (2011). Gold nanoparticle-based colorimetric detection of kanamycin using a DNA aptamer. Analytical Biochemistry. 415(2). 175–181. 373 indexed citations

Wang, Jinpeng, Yanli Liu, Tambet Teesalu, et al.. (2011). Selection of phage-displayed peptides on live adherent cells in microfluidic channels. Proceedings of the National Academy of Sciences. 108(17). 6909–6914. 58 indexed citations

Oh, Seung Soo, Kareem M. Ahmad, Minseon Cho, et al.. (2011). Improving Aptamer Selection Efficiency through Volume Dilution, Magnetic Concentration, and Continuous Washing in Microfluidic Channels. Analytical Chemistry. 83(17). 6883–6889. 60 indexed citations

Min, Kyoungin, Hunho Jo, Kyung-Mi Song, et al.. (2010). Dual-aptamer-based delivery vehicle of doxorubicin to both PSMA (+) and PSMA (−) prostate cancers. Biomaterials. 32(8). 2124–2132. 106 indexed citations

Cho, Minseon, Yi Xiao, Jeff Nie, et al.. (2010). Quantitative selection of DNA aptamers through microfluidic selection and high-throughput sequencing. Proceedings of the National Academy of Sciences. 107(35). 15373–15378. 215 indexed citations

Min, Kyoungin, et al.. (2008). A simple and direct electrochemical detection of interferon-γ using its RNA and DNA aptamers. Biosensors and Bioelectronics. 23(12). 1819–1824. 94 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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