Sang-Ryoul Park

836 total citations
31 papers, 577 citations indexed

About

Sang-Ryoul Park is a scholar working on Molecular Biology, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, Sang-Ryoul Park has authored 31 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Biomedical Engineering and 7 papers in Spectroscopy. Recurrent topics in Sang-Ryoul Park's work include Microfluidic and Capillary Electrophoresis Applications (8 papers), Molecular Biology Techniques and Applications (7 papers) and Biosensors and Analytical Detection (5 papers). Sang-Ryoul Park is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (8 papers), Molecular Biology Techniques and Applications (7 papers) and Biosensors and Analytical Detection (5 papers). Sang-Ryoul Park collaborates with scholars based in South Korea, United States and China. Sang-Ryoul Park's co-authors include Harold Swerdlow, Inchul Yang, Yan Xiong, Sook‐Kyung Kim, Ji‐Seon Jeong, Young Ho Kim, Young Ho Kim, Young‐Seuk Bae, Euijin Hwang and Yong‐Hyeon Yim and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Analytical Biochemistry.

In The Last Decade

Sang-Ryoul Park

30 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang-Ryoul Park South Korea 13 252 244 146 34 31 31 577
Fabrizio Donnarumma United States 13 139 0.6× 54 0.2× 182 1.2× 27 0.8× 19 0.6× 39 392
Bart Schoenmaker Netherlands 9 261 1.0× 175 0.7× 229 1.6× 15 0.4× 10 0.3× 9 506
Erika L. Pfaunmiller United States 11 477 1.9× 131 0.5× 192 1.3× 9 0.3× 18 0.6× 15 643
Vratislav Košťál Czechia 11 209 0.8× 265 1.1× 105 0.7× 44 1.3× 11 0.4× 17 528
Dale H. Patterson United States 16 398 1.6× 250 1.0× 424 2.9× 58 1.7× 11 0.4× 17 811
Miranda Kok Belgium 14 202 0.8× 211 0.9× 132 0.9× 3 0.1× 17 0.5× 17 539
Robert S. Matson United States 13 480 1.9× 94 0.4× 54 0.4× 38 1.1× 11 0.4× 33 730
Avinash L. Lagu United States 14 175 0.7× 406 1.7× 133 0.9× 79 2.3× 6 0.2× 20 571
Han-Peng Jiang China 12 381 1.5× 58 0.2× 125 0.9× 20 0.6× 16 0.5× 15 498
Zhiguang Jia United States 14 502 2.0× 66 0.3× 50 0.3× 17 0.5× 17 0.5× 30 741

Countries citing papers authored by Sang-Ryoul Park

Since Specialization
Citations

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

Fields of papers citing papers by Sang-Ryoul Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Ryoul Park. 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 Sang-Ryoul Park. The network helps show where Sang-Ryoul Park may publish in the future.

Co-authorship network of co-authors of Sang-Ryoul Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Ryoul Park. A scholar is included among the top collaborators of Sang-Ryoul Park 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 Sang-Ryoul Park. Sang-Ryoul Park 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.
Park, Sang-Ryoul, et al.. (2024). Development of gene-in-plasmid DNA reference materials certified by single-molecule counting. Analytical and Bioanalytical Chemistry. 417(12). 2489–2501. 2 indexed citations
2.
Yang, Inchul, et al.. (2021). High-sensitivity Microvolume UV Absorption Spectrometry for Routine Analysis of Small-volume Biological Samples. BioTechniques. 70(5). 251–262. 2 indexed citations
3.
Josephs, R D, Gustavo Martos, Ming Li, et al.. (2019). Establishment of measurement traceability for peptide and protein quantification through rigorous purity assessment—a review. Metrologia. 56(4). 44006–44006. 43 indexed citations
4.
Yu, Hannah, Yoonsoo Hahn, Sang-Ryoul Park, et al.. (2016). Normalization of human RNA-seq experiments using chimpanzee RNA as a spike-in standard. Scientific Reports. 6(1). 31923–31923.
5.
Dong, Lianhua, et al.. (2016). Accurate quantification of supercoiled DNA by digital PCR. Scientific Reports. 6(1). 24230–24230. 13 indexed citations
6.
Yang, Keum‐Jin, Ki Cheol Park, Hyunsu Choi, et al.. (2014). Identification and characterization of neurotrophic factors in porcine small intestinal submucosa. Tissue Engineering and Regenerative Medicine. 11(5). 372–378. 4 indexed citations
7.
Wu, Liqing, Akiko Takatsu, Sang-Ryoul Park, et al.. (2014). Development and co-validation of porcine insulin certified reference material by high-performance liquid chromatography–isotope dilution mass spectrometry. Analytical and Bioanalytical Chemistry. 407(11). 3125–3135. 12 indexed citations
8.
Yoon, Ina, et al.. (2014). Quantification of recombinant human erythropoietin by amino acid analysis using isotope dilution liquid chromatography–tandem mass spectrometry. Analytical and Bioanalytical Chemistry. 406(18). 4401–4409. 19 indexed citations
9.
Jeong, Ji‐Seon, Sook‐Kyung Kim, & Sang-Ryoul Park. (2013). Amino acid analysis of dried blood spots for diagnosis of phenylketonuria using capillary electrophoresis-mass spectrometry equipped with a sheathless electrospray ionization interface. Analytical and Bioanalytical Chemistry. 405(25). 8063–8072. 28 indexed citations
10.
11.
Hong, Nansook, et al.. (2011). Rapid and accurate determination of deoxyribonucleoside monophosphates from DNA using micellar electrokinetic chromatography with a cationic surfactant additive. Analytical and Bioanalytical Chemistry. 400(7). 2131–2140. 12 indexed citations
12.
Yu, Hannah, et al.. (2011). Quantification of Trace-Level DNA by Real-Time Whole Genome Amplification. PLoS ONE. 6(12). e28661–e28661. 9 indexed citations
13.
Jeong, Ji‐Seon, et al.. (2011). Quantification of human growth hormone by amino acid composition analysis using isotope dilution liquid-chromatography tandem mass spectrometry. Journal of Chromatography A. 1218(38). 6596–6602. 32 indexed citations
14.
Choi, Saehae, et al.. (2011). Crystal structure of prephenate dehydrogenase from Streptococcus mutans. International Journal of Biological Macromolecules. 49(4). 761–766. 7 indexed citations
15.
Park, Sang-Ryoul, et al.. (2010). Measurement of Cortisol in Human Serum by Isotope Dilution Liquid Chromatography/Mass Spectrometry and a Comparison through a Proficiency Testing. Bulletin of the Korean Chemical Society. 31(5). 1149–1154. 3 indexed citations
16.
17.
Yang, Inchul, Young Ho Kim, Ji Young Byun, & Sang-Ryoul Park. (2005). Use of multiplex polymerase chain reactions to indicate the accuracy of the annealing temperature of thermal cycling. Analytical Biochemistry. 338(2). 192–200. 33 indexed citations
18.
Kim, Byungjoo, et al.. (2004). Determination of serum cortisol using isotope dilution?liquid chromatography?mass spectrometry as a candidate reference method. Analytical and Bioanalytical Chemistry. 380(5-6). 782–788. 27 indexed citations
19.
20.
Xiong, Yan, Sang-Ryoul Park, & Harold Swerdlow. (1998). Base Stacking:  pH-Mediated On-Column Sample Concentration for Capillary DNA Sequencing. Analytical Chemistry. 70(17). 3605–3611. 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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