Chang No Yoon

4.8k total citations · 3 hit papers
59 papers, 3.7k citations indexed

About

Chang No Yoon is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Chang No Yoon has authored 59 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 10 papers in Organic Chemistry and 8 papers in Computational Theory and Mathematics. Recurrent topics in Chang No Yoon's work include Computational Drug Discovery Methods (8 papers), Chemical Synthesis and Analysis (6 papers) and Synthesis and biological activity (4 papers). Chang No Yoon is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Chemical Synthesis and Analysis (6 papers) and Synthesis and biological activity (4 papers). Chang No Yoon collaborates with scholars based in South Korea, United States and Sweden. Chang No Yoon's co-authors include Seung Kee Han, Beom Jun Kim, Petter Holme, David S. Goodsell, Richard E. Dickerson, Philip Pjura, Mary L. Kopka, Harold A. Scheraga, Kenneth D. Gibson and Germana Paterlini and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Chang No Yoon

56 papers receiving 3.6k citations

Hit Papers

Attack vulnerability of c... 1985 2026 1998 2012 2002 1985 1992 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang No Yoon South Korea 18 1.8k 1.1k 478 331 270 59 3.7k
Alexei Vázquez United States 47 4.8k 2.7× 3.4k 3.2× 663 1.4× 149 0.5× 98 0.4× 119 9.9k
Ruisheng Zhang China 36 784 0.4× 567 0.5× 177 0.4× 507 1.5× 473 1.8× 246 4.0k
Panos Argyrakis Greece 28 391 0.2× 1.0k 1.0× 153 0.3× 508 1.5× 93 0.3× 172 2.9k
Liang Huang China 37 858 0.5× 1.3k 1.2× 753 1.6× 1.5k 4.6× 530 2.0× 181 5.0k
Tatsuya Akutsu Japan 48 7.4k 4.1× 347 0.3× 296 0.6× 364 1.1× 110 0.4× 378 9.2k
John A. Burns United States 26 389 0.2× 378 0.4× 70 0.1× 134 0.4× 222 0.8× 138 2.8k
Guang Hu China 34 1.4k 0.8× 1.8k 1.7× 2.1k 4.4× 133 0.4× 120 0.4× 268 4.4k
Nataša Pržulj United Kingdom 37 4.4k 2.4× 1.0k 1.0× 184 0.4× 119 0.4× 61 0.2× 92 6.0k
Jihong Guan China 34 2.2k 1.2× 932 0.9× 406 0.8× 264 0.8× 33 0.1× 292 4.5k

Countries citing papers authored by Chang No Yoon

Since Specialization
Citations

This map shows the geographic impact of Chang No Yoon'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 Chang No Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang No Yoon more than expected).

Fields of papers citing papers by Chang No Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang No Yoon. 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 Chang No Yoon. The network helps show where Chang No Yoon may publish in the future.

Co-authorship network of co-authors of Chang No Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Chang No Yoon. A scholar is included among the top collaborators of Chang No Yoon 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 Chang No Yoon. Chang No Yoon 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
2.
Murale, Dhiraj P., et al.. (2015). Rational design of a photo-crosslinking BODIPY for in situ protein labeling. Chemical Communications. 51(30). 6643–6646. 22 indexed citations
3.
Lee, Jun‐Seok, et al.. (2014). Proteome reactivity profiling for the discrimination of pathogenic bacteria. Chemical Communications. 50(33). 4347–4350. 7 indexed citations
4.
Lee, Jun‐Seok, et al.. (2014). Small-molecule probes elucidate global enzyme activity in a proteomic context. BMB Reports. 47(3). 149–157. 9 indexed citations
5.
Sun, Xiaoyan, et al.. (2013). Low Stability and a ConservedN-Glycosylation Site Are Associated with Regulation of the Discoidin Domain Receptor Family by GlucoseviaPost-TranslationalN-Glycosylation. Bioscience Biotechnology and Biochemistry. 77(9). 1907–1916. 9 indexed citations
6.
Lee, Jun‐Seok, Yun Kyung Kim, Han Jo Kim, et al.. (2012). Identification of Cancer Cell-Line Origins Using Fluorescence Image-Based Phenomic Screening. PLoS ONE. 7(2). e32096–e32096. 16 indexed citations
7.
Kim, Yun Kyung, et al.. (2011). Site-selective labeling at Cys302 of aldehyde dehydrogenase unveils a selective mitochondrial stain. Molecular BioSystems. 7(8). 2375–2378. 5 indexed citations
8.
Yoon, Chang No, et al.. (2010). Inferring the physical connectivity of complex networks from their functional dynamics. BMC Systems Biology. 4(1). 70–70. 7 indexed citations
9.
Yoon, Chang No & Mu Shik Jhon. (2009). Intermediate water structures in solution of alanine dipeptide. International Journal of Quantum Chemistry. 28(S12). 33–47.
10.
Park, Hee‐Sung, et al.. (2006). Design and Evolution of New Catalytic Activity with an Existing Protein Scaffold. Science. 311(5760). 535–538. 209 indexed citations
11.
Yoon, Chang No, et al.. (2006). Methodology of the thyroid gland disease decision-making using profiling in steroid hormone pathway. Journal of Pharmaceutical and Biomedical Analysis. 43(3). 1100–1105. 1 indexed citations
12.
Lee, Sang Seop, Kwang‐Hyeon Liu, Chang No Yoon, et al.. (2005). Identification and functional characterization of novel CYP2J2 variants: G312R variant causes loss of enzyme catalytic activity. Pharmacogenetics and Genomics. 15(2). 105–113. 50 indexed citations
13.
Kim, Moon Kyu, Eun Sook Kim, Dong Soo Kim, et al.. (2004). Two novel mutations of Wiskott–Aldrich syndrome: the molecular prediction of interaction between the mutated WASP L101P with WASP-interacting protein by molecular modeling. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1690(2). 134–140. 8 indexed citations
14.
Kim, Beom Jun, Chang No Yoon, Seung Kee Han, & Hawoong Jeong. (2002). Path finding strategies in scale-free networks. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(2). 27103–27103. 126 indexed citations
15.
Kim, Sanguk, et al.. (1998). 3D-QSAR of Angiotensin-Converting Enzyme Inhibitors: Functional Group Interaction Energy Descriptors for Quantitative Structure-Activity Relationships Study of ACE Inhibitors. BMB Reports. 31(5). 459–467. 3 indexed citations
16.
Lee, Kyoung Ho, Hyeyeong Yeom, Chang No Yoon, et al.. (1998). Structure-Related Inhibition of Human Hepatic Caffeine N3-Demethylation by Naturally Occurring Flavonoids. Biochemical Pharmacology. 55(9). 1369–1375. 62 indexed citations
17.
Némethy, George, Kenneth D. Gibson, Chang No Yoon, et al.. (1992). Energy parameters in polypeptides. 10. Improved geometrical parameters and nonbonded interactions for use in the ECEPP/3 algorithm, with application to proline-containing peptides. The Journal of Physical Chemistry. 96(15). 6472–6484. 575 indexed citations breakdown →
18.
Yoon, Chang No, et al.. (1990). Mass Spectrometry of Methyl and Methyl-d3 Derivatives of Diuretic Agents. Journal of Analytical Toxicology. 14(2). 96–101. 12 indexed citations
19.
Chung, Bong Chul, et al.. (1990). Drug Testing at the 10th Asian Games and 24th Seoul Olympic Games. Journal of Analytical Toxicology. 14(2). 66–72. 47 indexed citations
20.
Kim, Jung‐Han, et al.. (1988). Flavor Components of Artemisia Lavandulaefolia DC. Korean Journal of Food Science and Technology. 20(6). 774–779. 4 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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