Yoochan Myung

1.5k total citations · 1 hit paper
27 papers, 897 citations indexed

About

Yoochan Myung is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Yoochan Myung has authored 27 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 5 papers in Genetics. Recurrent topics in Yoochan Myung's work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (7 papers) and Bioinformatics and Genomic Networks (4 papers). Yoochan Myung is often cited by papers focused on Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (7 papers) and Bioinformatics and Genomic Networks (4 papers). Yoochan Myung collaborates with scholars based in Australia, United Kingdom and Brazil. Yoochan Myung's co-authors include David B. Ascher, Douglas E. V. Pires, Carlos H. M. Rodrigues, Alex G. C. de Sá, Carl H. Lamborg, Caitlin M. Gionfriddo, Kathryn E. Holt, John W. Moreau, Stephanie Portelli and Heyu Lin and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Molecular Cell.

In The Last Decade

Yoochan Myung

26 papers receiving 889 citations

Hit Papers

Deep-PK: deep learning for small molecule pharmacokinetic... 2024 2026 2025 2024 25 50 75
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.

  1. Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction
    2024 91 citations Yoochan Myung, Alex G. C. de Sá et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoochan Myung Australia 13 593 169 144 134 90 27 897
Ren Kong China 17 580 1.0× 238 1.4× 49 0.3× 136 1.0× 85 0.9× 76 1.1k
Thomas R. Transue United States 13 667 1.1× 169 1.0× 437 3.0× 38 0.3× 144 1.6× 21 1.1k
Olga V. Kalinina Germany 17 557 0.9× 98 0.6× 28 0.2× 57 0.4× 26 0.3× 75 850
Xueping Hu China 17 413 0.7× 188 1.1× 50 0.3× 62 0.5× 23 0.3× 55 784
Lingqi Luo United States 11 705 1.2× 253 1.5× 60 0.4× 60 0.4× 11 0.1× 15 934
Pamela Lane United States 13 778 1.3× 95 0.6× 66 0.5× 61 0.5× 8 0.1× 22 1.2k
Rasmus Hansen Denmark 17 1.4k 2.3× 81 0.5× 110 0.8× 19 0.1× 19 0.2× 38 2.0k
Cédric Montigny France 22 872 1.5× 27 0.2× 51 0.4× 40 0.3× 57 0.6× 49 1.2k
Katherine A. Edmonds United States 18 771 1.3× 16 0.1× 81 0.6× 59 0.4× 54 0.6× 30 1.2k
Ilaria Piazza Germany 12 925 1.6× 107 0.6× 50 0.3× 34 0.3× 10 0.1× 23 1.2k

Countries citing papers authored by Yoochan Myung

Since Specialization
Citations

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

Fields of papers citing papers by Yoochan Myung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoochan Myung

This figure shows the co-authorship network connecting the top 25 collaborators of Yoochan Myung. A scholar is included among the top collaborators of Yoochan Myung 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 Yoochan Myung. Yoochan Myung 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.
Rodrigues, Carlos H. M., et al.. (2024). piscesCSM: prediction of anticancer synergistic drug combinations. Journal of Cheminformatics. 16(1). 81–81. 2 indexed citations
2.
Myung, Yoochan, et al.. (2024). Mutations in Glycosyltransferases and Glycosidases: Implications for Associated Diseases. Biomolecules. 14(4). 497–497. 1 indexed citations
3.
4.
5.
Myung, Yoochan, Alex G. C. de Sá, & David B. Ascher. (2024). Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction. Nucleic Acids Research. 52(W1). W469–W475. 91 indexed citations breakdown →
6.
Myung, Yoochan, Douglas E. V. Pires, & David B. Ascher. (2023). Understanding the complementarity and plasticity of antibody–antigen interfaces. Bioinformatics. 39(7). 10 indexed citations
7.
Karmakar, Malancha, et al.. (2023). Uncovering the Molecular Drivers of NHEJ DNA Repair-Implicated Missense Variants and Their Functional Consequences. Genes. 14(10). 1890–1890. 2 indexed citations
8.
Myung, Yoochan, Brendan R. E. Ansell, Andrew J. Guy, et al.. (2022). VIVID: A Web Application for Variant Interpretation and Visualization in Multi-dimensional Analyses. Molecular Biology and Evolution. 39(9). 7 indexed citations
9.
Ruff, Kiersten M., Dezerae Cox, Angelique R. Ormsby, et al.. (2022). Sequence grammar underlying the unfolding and phase separation of globular proteins. Molecular Cell. 82(17). 3193–3208.e8. 63 indexed citations
10.
Lin, Heyu, David B. Ascher, Yoochan Myung, et al.. (2021). Mercury methylation by metabolically versatile and cosmopolitan marine bacteria. The ISME Journal. 15(6). 1810–1825. 102 indexed citations
11.
Portelli, Stephanie, Moshe Olshansky, Carlos H. M. Rodrigues, et al.. (2021). Author Correction: Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource. Nature Genetics. 53(2). 254–254. 3 indexed citations
12.
Myung, Yoochan, Douglas E. V. Pires, & David B. Ascher. (2021). CSM-AB: graph-based antibody–antigen binding affinity prediction and docking scoring function. Bioinformatics. 38(4). 1141–1143. 35 indexed citations
13.
14.
Portelli, Stephanie, Joicymara S. Xavier, Yoochan Myung, et al.. (2020). Identifying Genotype–Phenotype Correlations via Integrative Mutation Analysis. Methods in molecular biology. 2190. 1–32. 3 indexed citations
15.
Pires, Douglas E. V., Stephanie Portelli, Joicymara S. Xavier, et al.. (2020). A Comprehensive Computational Platform to Guide Drug Development Using Graph-Based Signature Methods. Methods in molecular biology. 2112. 91–106. 4 indexed citations
16.
Portelli, Stephanie, Moshe Olshansky, Carlos H. M. Rodrigues, et al.. (2020). Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource. Nature Genetics. 52(10). 999–1001. 43 indexed citations
17.
Myung, Yoochan, Douglas E. V. Pires, & David B. Ascher. (2020). mmCSM-AB: guiding rational antibody engineering through multiple point mutations. Nucleic Acids Research. 48(W1). W125–W131. 39 indexed citations
18.
Portelli, Stephanie, Yoochan Myung, Nicholas Furnham, et al.. (2020). Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches. Scientific Reports. 10(1). 18120–18120. 39 indexed citations
19.
Pires, Douglas E. V., Carlos H. M. Rodrigues, Malancha Karmakar, et al.. (2019). Exploring Protein Supersecondary Structure Through Changes in Protein Folding, Stability, and Flexibility. Methods in molecular biology. 1958. 173–185. 6 indexed citations
20.
Myung, Yoochan, et al.. (2016). A niosomal bilayer of sorbitan monostearate in complex with flavones: a molecular dynamics simulation study. Journal of Liposome Research. 26(4). 336–344. 7 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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