William Yang

662 total citations
26 papers, 436 citations indexed

About

William Yang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, William Yang has authored 26 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in William Yang's work include Gene expression and cancer classification (7 papers), Cancer-related molecular mechanisms research (6 papers) and Bioinformatics and Genomic Networks (5 papers). William Yang is often cited by papers focused on Gene expression and cancer classification (7 papers), Cancer-related molecular mechanisms research (6 papers) and Bioinformatics and Genomic Networks (5 papers). William Yang collaborates with scholars based in United States, China and Australia. William Yang's co-authors include Mary Qu Yang, Jack Yang, Zhongxue Chen, Renchu Guan, Jun S. Liu, Weida Tong, Youping Deng, A. Keith Dunker, Xiang Qin and Andrzej Niemierko and has published in prestigious journals such as Molecular Cell, Oncogene and The Journal of Infectious Diseases.

In The Last Decade

William Yang

26 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Yang United States 13 301 98 61 58 55 26 436
Smarti Reel United Kingdom 4 299 1.0× 71 0.7× 65 1.1× 49 0.8× 33 0.6× 5 537
Da Qi China 16 445 1.5× 98 1.0× 53 0.9× 46 0.8× 58 1.1× 35 663
Lujia Chen United States 12 359 1.2× 112 1.1× 53 0.9× 72 1.2× 85 1.5× 36 603
Tiziana Sanavia Italy 16 463 1.5× 84 0.9× 53 0.9× 103 1.8× 48 0.9× 40 699
Dieter Maier Spain 8 341 1.1× 50 0.5× 47 0.8× 56 1.0× 27 0.5× 12 523
Jin Hwan South Korea 10 308 1.0× 88 0.9× 32 0.5× 27 0.5× 33 0.6× 26 436
Olivier Périn France 7 354 1.2× 70 0.7× 38 0.6× 50 0.9× 22 0.4× 14 578
Yungang Xu China 14 477 1.6× 128 1.3× 34 0.6× 42 0.7× 29 0.5× 29 638
Feiran Wang China 17 396 1.3× 243 2.5× 50 0.8× 40 0.7× 61 1.1× 47 636

Countries citing papers authored by William Yang

Since Specialization
Citations

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

Fields of papers citing papers by William Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Yang

This figure shows the co-authorship network connecting the top 25 collaborators of William Yang. A scholar is included among the top collaborators of William Yang 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 William Yang. William Yang 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.
Feng, Sumin, Kaiwen Liu, William Yang, et al.. (2024). Profound synthetic lethality between SMARCAL1 and FANCM. Molecular Cell. 84(23). 4522–4537.e7. 6 indexed citations
2.
Li, Dan, William Yang, Yifan Zhang, et al.. (2018). Genomic analyses based on pulmonary adenocarcinoma in situ reveal early lung cancer signature. BMC Medical Genomics. 11(S5). 106–106. 24 indexed citations
3.
Yang, Mary Qu, et al.. (2018). MISC: missing imputation for single-cell RNA sequencing data. BMC Systems Biology. 12(S7). 114–114. 16 indexed citations
4.
Zhang, Yifan, William Yang, Dan Li, et al.. (2018). Toward the precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis. BMC Medical Genomics. 11(S5). 104–104. 11 indexed citations
5.
Li, Dan, et al.. (2018). Systems biology analysis reveals new insights into invasive lung cancer. BMC Systems Biology. 12(S7). 117–117. 4 indexed citations
6.
Hu, Ling, Rong Zhang, Qiong Yuan, et al.. (2018). The emerging role of microRNA-4487/6845-3p in Alzheimer’s disease pathologies is induced by Aβ25–35 triggered in SH-SY5Y cell. BMC Systems Biology. 12(S7). 119–119. 24 indexed citations
7.
Yang, Mary Qu, Dan Li, William Yang, et al.. (2017). A Gene Module-Based eQTL Analysis Prioritizing Disease Genes and Pathways in Kidney Cancer. Computational and Structural Biotechnology Journal. 15. 463–470. 7 indexed citations
8.
Liang, Yanchun, et al.. (2017). Relation discovery and hotspots analysis on diabetes mellitus and obesity with representation model. 39. 952–957. 1 indexed citations
9.
Zhang, Hao, Mary Qu Yang, Xiaoyue Feng, et al.. (2017). Protein-Protein Interaction Extraction Using Attention-Based Convolution Neural Networks. 770–771. 1 indexed citations
10.
Li, Dan, William Yang, Yifan Zhang, et al.. (2017). Comprehensive analysis of pulmonary adenocarcinoma in situ (AIS) revealed new insights into lung cancer progression. 9. 792–797. 1 indexed citations
11.
Yang, William, Sunil Suchindran, Bradly P. Nicholson, et al.. (2016). Transcriptomic Analysis of the Host Response and Innate Resilience to EnterotoxigenicEscherichia coliInfection in Humans. The Journal of Infectious Diseases. 213(9). 1495–1504. 10 indexed citations
12.
Chen, Xiaohong, Xiaoying Chen, William Yang, et al.. (2016). Association of six CpG-SNPs in the inflammation-related genes with coronary heart disease. Human Genomics. 10(S2). 21–21. 22 indexed citations
13.
Li, Dan, William Yang, Kenji Yoshigoe, et al.. (2016). An Integrative Approach Revealing the Landscape of Long Noncoding RNAs in Human Brain. 104–109. 1 indexed citations
14.
Ko, Emily R., William Yang, Micah T. McClain, et al.. (2015). What was old is new again: using the host response to diagnose infectious disease. Expert Review of Molecular Diagnostics. 15(9). 1143–1158. 20 indexed citations
15.
Yang, William, Kenji Yoshigoe, Xiang Qin, et al.. (2014). Identification of genes and pathways involved in kidney renal clear cell carcinoma. BMC Bioinformatics. 15(S17). S2–S2. 74 indexed citations
16.
Chen, Zhongxue, William Yang, Qingzhong Liu, et al.. (2014). A new statistical approach to combining p-values using gamma distribution and its application to genome-wide association study. BMC Bioinformatics. 15(S17). S3–S3. 30 indexed citations
17.
Yang, Jack, A. Keith Dunker, Jun S. Liu, et al.. (2014). Advances in translational bioinformatics facilitate revealing the landscape of complex disease mechanisms. BMC Bioinformatics. 15(S17). I1–I1. 5 indexed citations
18.
Yang, Mary Qu, Kenji Yoshigoe, William Yang, et al.. (2014). The emerging genomics and systems biology research lead to systems genomics studies. BMC Genomics. 15(S11). I1–I1. 40 indexed citations
19.
Chandramohan, Vidyalakshmi, Nora D. Mineva, Brian Burke, et al.. (2008). c‐Myc represses FOXO3a‐mediated transcription of the gene encoding the p27Kip1 cyclin dependent kinase inhibitor. Journal of Cellular Biochemistry. 104(6). 2091–2106. 59 indexed citations
20.
Fitzgerald, Mark J., Marcello Arsura, Robert E. Bellas, et al.. (1999). Differential effects of the widely expressed dMax splice variant of Max on E-box vs initiator element-mediated regulation by c-Myc. Oncogene. 18(15). 2489–2498. 14 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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