Myung Yi Ryu

497 total citations
10 papers, 408 citations indexed

About

Myung Yi Ryu is a scholar working on Infectious Diseases, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Myung Yi Ryu has authored 10 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Molecular Biology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Myung Yi Ryu's work include Viral gastroenteritis research and epidemiology (3 papers), Virus-based gene therapy research (2 papers) and Viral Infections and Vectors (2 papers). Myung Yi Ryu is often cited by papers focused on Viral gastroenteritis research and epidemiology (3 papers), Virus-based gene therapy research (2 papers) and Viral Infections and Vectors (2 papers). Myung Yi Ryu collaborates with scholars based in South Korea. Myung Yi Ryu's co-authors include Jong Pil Park, Tae Jung Park, Jong Min Lim, Hye Jin Hwang, Ji Hong Kim, Chae Hwan Cho, Changsun Choi, Hyun Gyu Park, Chan Young Park and Sang‐Do Ha and has published in prestigious journals such as PLoS ONE, Analytica Chimica Acta and Biosensors and Bioelectronics.

In The Last Decade

Myung Yi Ryu

10 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Myung Yi Ryu South Korea	10	262	162	100	76	47	10	408
Kenny Malpartida-Cardenas United Kingdom	15	293 1.1×	359 2.2×	164 1.6×	81 1.1×	44 0.9×	24	553
Joung‐Hwan Cho South Korea	7	282 1.1×	327 2.0×	52 0.5×	64 0.8×	22 0.5×	7	512
Claus Bo Vöge Christensen Denmark	13	196 0.7×	149 0.9×	41 0.4×	99 1.3×	61 1.3×	15	469
W. Kevin Grace United States	8	265 1.0×	246 1.5×	83 0.8×	117 1.5×	26 0.6×	14	510
Hsien-Chang Chang Taiwan	13	185 0.7×	152 0.9×	60 0.6×	81 1.1×	28 0.6×	16	462
Ana Cristina Honorato de Castro Brazil	13	327 1.2×	191 1.2×	98 1.0×	116 1.5×	22 0.5×	21	446
Jane T. Babbitt United States	14	249 1.0×	261 1.6×	102 1.0×	44 0.6×	14 0.3×	17	696
Jun Ki Ahn South Korea	11	322 1.2×	201 1.2×	77 0.8×	105 1.4×	10 0.2×	32	458
Shuting Shi China	7	190 0.7×	63 0.4×	91 0.9×	70 0.9×	19 0.4×	11	474

Countries citing papers authored by Myung Yi Ryu

Since Specialization

Citations

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

Fields of papers citing papers by Myung Yi Ryu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Myung Yi Ryu. 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 Myung Yi Ryu. The network helps show where Myung Yi Ryu may publish in the future.

Co-authorship network of co-authors of Myung Yi Ryu

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

All Works

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10 of 10 papers shown

Kim, Ji Hong, Chae Hwan Cho, Myung Yi Ryu, et al.. (2019). Development of peptide biosensor for the detection of dengue fever biomarker, nonstructural 1. PLoS ONE. 14(9). e0222144–e0222144. 34 indexed citations

Heo, Nam Su, Seo Yeong Oh, Myung Yi Ryu, et al.. (2019). Affinity Peptide-guided Plasmonic Biosensor for Detection of Noroviral Protein and Human Norovirus. Biotechnology and Bioprocess Engineering. 24(2). 318–325. 34 indexed citations

Lim, Jong Min, Ji Hong Kim, Myung Yi Ryu, et al.. (2018). An electrochemical peptide sensor for detection of dengue fever biomarker NS1. Analytica Chimica Acta. 1026. 109–116. 50 indexed citations

Lim, Jong Min, Nam Su Heo, Seo Yeong Oh, et al.. (2017). Selection of affinity peptides for interference-free detection of cholera toxin. Biosensors and Bioelectronics. 99. 289–295. 34 indexed citations

Lim, Jong Min, Myung Yi Ryu, Jong Won Yun, Tae Jung Park, & Jong Pil Park. (2017). Electrochemical peptide sensor for diagnosing adenoma-carcinoma transition in colon cancer. Biosensors and Bioelectronics. 98. 330–337. 30 indexed citations

Lim, Jong Min, Myung Yi Ryu, Ji Hong Kim, et al.. (2017). An electrochemical biosensor for detection of the sepsis-related biomarker procalcitonin. RSC Advances. 7(58). 36562–36565. 46 indexed citations

Hwang, Hye Jin, Myung Yi Ryu, Chan Young Park, et al.. (2016). High sensitive and selective electrochemical biosensor: Label-free detection of human norovirus using affinity peptide as molecular binder. Biosensors and Bioelectronics. 87. 164–170. 126 indexed citations

Hwang, Hye Jin, et al.. (2016). Selection of High Affinity Peptides for Prediction of Colorectal Adenoma–to‐Carcinoma Progression. ChemistrySelect. 1(6). 1140–1143. 12 indexed citations

Hwang, Hye Jin, et al.. (2015). Identification of high affinity peptides for capturing norovirus capsid proteins. RSC Advances. 5(68). 55300–55302. 25 indexed citations

10.

Ryu, Myung Yi, et al.. (2015). Evolutionary identification of affinity peptides for the detection of sepsis biomarker procalcitonin. RSC Advances. 5(110). 90531–90533. 17 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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