Yunku Yeu

552 total citations
14 papers, 359 citations indexed

About

Yunku Yeu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Yunku Yeu has authored 14 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Oncology. Recurrent topics in Yunku Yeu's work include Bioinformatics and Genomic Networks (5 papers), Machine Learning in Bioinformatics (3 papers) and Computational Drug Discovery Methods (3 papers). Yunku Yeu is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Machine Learning in Bioinformatics (3 papers) and Computational Drug Discovery Methods (3 papers). Yunku Yeu collaborates with scholars based in South Korea and United States. Yunku Yeu's co-authors include Tae Hyun Hwang, Sanghyun Park, Youngmi Yoon, Jean R. Clemenceau, David H. Mathews, Zhen Tan, Lawrence Lum, James Kim, Xiaofeng Wu and John T. Piazza and has published in prestigious journals such as Nature Communications, Cancer Research and Information Sciences.

In The Last Decade

Yunku Yeu

13 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunku Yeu South Korea 6 227 71 66 60 29 14 359
Yen-Wei Chu Taiwan 10 387 1.7× 68 1.0× 36 0.5× 30 0.5× 58 2.0× 41 525
Catherine Snow United Kingdom 3 411 1.8× 53 0.7× 46 0.7× 25 0.4× 36 1.2× 3 544
Anna Meyfour Iran 14 186 0.8× 59 0.8× 72 1.1× 21 0.3× 22 0.8× 29 379
Wenguang Liang United States 13 254 1.1× 38 0.5× 79 1.2× 25 0.4× 37 1.3× 22 466
Shikai Jin China 14 331 1.5× 57 0.8× 53 0.8× 16 0.3× 10 0.3× 32 538
Rudy Pandjaitan France 8 424 1.9× 47 0.7× 48 0.7× 19 0.3× 34 1.2× 9 545
Mukta Bagul United States 7 211 0.9× 30 0.4× 70 1.1× 15 0.3× 47 1.6× 7 319
Wayland Yeung United States 15 607 2.7× 36 0.5× 54 0.8× 45 0.8× 36 1.2× 38 754
Wanxu Huang China 13 757 3.3× 52 0.7× 115 1.7× 34 0.6× 27 0.9× 20 926
Yuki Shimizu‐Yoshida Japan 10 377 1.7× 36 0.5× 88 1.3× 11 0.2× 33 1.1× 12 486

Countries citing papers authored by Yunku Yeu

Since Specialization
Citations

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

Fields of papers citing papers by Yunku Yeu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunku Yeu

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

All Works

14 of 14 papers shown
1.
Kang, Jeonghyun, Jae‐Hoon Lee, Hye Sun Lee, et al.. (2021). Radiomics Features of 18F-Fluorodeoxyglucose Positron-Emission Tomography as a Novel Prognostic Signature in Colorectal Cancer. Cancers. 13(3). 392–392. 14 indexed citations
2.
Sarvestani, Samaneh K., Steven A. Signs, Bo Hu, et al.. (2021). Induced organoids derived from patients with ulcerative colitis recapitulate colitic reactivity. Nature Communications. 12(1). 262–262. 81 indexed citations
3.
Wang, Sam C., Yunku Yeu, Suntrea T.G. Hammer, et al.. (2020). Hispanic/Latino Patients with Gastric Adenocarcinoma Have Distinct Molecular Profiles Including a High Rate of Germline CDH1 Variants. Cancer Research. 80(11). 2114–2124. 21 indexed citations
4.
Park, Sunho, et al.. (2020). Network-based drug sensitivity prediction. BMC Medical Genomics. 13(S11). 193–193. 33 indexed citations
5.
Tuladhar, Rubina, Yunku Yeu, John T. Piazza, et al.. (2019). CRISPR-Cas9-based mutagenesis frequently provokes on-target mRNA misregulation. Nature Communications. 10(1). 147 indexed citations
6.
Stroup, Emily K., Yunku Yeu, Tae Hyun Hwang, et al.. (2018). WT‐CLS1 is a rhabdoid tumor cell line and can be inhibited by miR‐16. Cancer Reports. 2(3). 2 indexed citations
7.
Cha, Junbum, et al.. (2016). A method for obtaining rich data from PubMed using SVM. 37–39. 1 indexed citations
8.
9.
Yeu, Yunku, Youngmi Yoon, & Sanghyun Park. (2015). Protein localization vector propagation: a method for improving the accuracy of drug repositioning. Molecular BioSystems. 11(7). 2096–2102. 47 indexed citations
10.
Lee, Junsu, et al.. (2015). BulkAligner: A novel sequence alignment algorithm based on graph theory and Trinity. Information Sciences. 303. 120–133. 4 indexed citations
11.
Ahn, Jaegyoon, Dae Hyun Lee, Youngmi Yoon, Yunku Yeu, & Sanghyun Park. (2013). Improved method for protein complex detection using bottleneck proteins. BMC Medical Informatics and Decision Making. 13(S1). S5–S5. 4 indexed citations
12.
Ahn, Jaegyoon, et al.. (2013). Impact of TGF-b on breast cancer from a quantitative proteomic analysis. Computers in Biology and Medicine. 43(12). 2096–2102. 2 indexed citations
13.
Yeu, Yunku, et al.. (2012). A survey of sequence alignment algorithms for next-generation sequencing read. 28(1). 33–51.
14.
Ahn, Jaegyoon, Dae Hyun Lee, Youngmi Yoon, Yunku Yeu, & Sanghyun Park. (2012). Protein complex prediction via bottleneck-based graph partitioning. 49–56. 2 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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