Yu‐Wei Cheng

2.7k total citations · 1 hit paper
42 papers, 1.6k citations indexed

About

Yu‐Wei Cheng is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yu‐Wei Cheng has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Cancer Research and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yu‐Wei Cheng's work include Cancer Genomics and Diagnostics (12 papers), Lung Cancer Treatments and Mutations (6 papers) and Genetic factors in colorectal cancer (6 papers). Yu‐Wei Cheng is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Lung Cancer Treatments and Mutations (6 papers) and Genetic factors in colorectal cancer (6 papers). Yu‐Wei Cheng collaborates with scholars based in United States, China and Taiwan. Yu‐Wei Cheng's co-authors include Gregory Ryslik, Abel González-Pérez, Fabio Vandin, Michael D. McLellan, Alexandra Papoutsaki, David Tamborero, Núria López-Bigas, Li Ding, Jacob Thomas and Hongyu Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Yu‐Wei Cheng

39 papers receiving 1.6k citations

Hit Papers

align trajectories

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.

Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes

2014 588 citations Yu‐Wei Cheng, Gregory Ryslik et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu‐Wei Cheng United States	18	998	386	260	193	191	42	1.6k
Bhavneet Bhinder United States	20	891 0.9×	415 1.1×	93 0.4×	156 0.8×	87 0.5×	51	1.7k
Sophia Doll Germany	21	1.2k 1.2×	172 0.4×	123 0.5×	148 0.8×	78 0.4×	36	2.2k
Afshin Derakhshani Iran	26	764 0.8×	424 1.1×	95 0.4×	223 1.2×	159 0.8×	70	2.0k
Karl‐Henning Kalland Norway	34	1.5k 1.5×	520 1.3×	186 0.7×	288 1.5×	108 0.6×	81	2.5k
Cem Meydan United States	23	2.2k 2.2×	832 2.2×	135 0.5×	124 0.6×	281 1.5×	54	3.0k
Sujit S. Nair United States	27	1.3k 1.3×	438 1.1×	473 1.8×	260 1.3×	90 0.5×	57	2.0k
Andreas S. Barth United States	31	1.3k 1.3×	225 0.6×	158 0.6×	176 0.9×	225 1.2×	81	3.0k
Michael H. A. Roehrl United States	21	938 0.9×	283 0.7×	119 0.5×	199 1.0×	101 0.5×	85	1.9k
James T. White United States	20	1.0k 1.0×	378 1.0×	249 1.0×	521 2.7×	127 0.7×	45	2.1k

Countries citing papers authored by Yu‐Wei Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Yu‐Wei Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Wei Cheng. 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 Yu‐Wei Cheng. The network helps show where Yu‐Wei Cheng may publish in the future.

Co-authorship network of co-authors of Yu‐Wei Cheng

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

All Works

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20 of 20 papers shown

Niziolek, Paul, Jessica L. Davis, Robert Bell, et al.. (2024). Novel CRTC1::MRTFB(MKL2) Gene Fusion Detected in Myxoid Mesenchymal Neoplasms With Myogenic Differentiation Involving Bone and Soft Tissues. Modern Pathology. 37(7). 100518–100518. 2 indexed citations

Zhai, Lidong, et al.. (2024). A Challenging Correlation between Tumor Cellularity and Somatic Variant Allele Fraction in Lung and Colorectal Cancers—Specimens of Low Tumor Percentage Should Be Analyzed with Caution. Biomolecules. 14(2). 168–168. 1 indexed citations

Hsi, Eric D., et al.. (2023). Biallelic TET2 mutations and canonical ASXL1 mutations are frequent and cooccur in Blastic Plasmacytoid Dendritic Cell Neoplasm (BPDCN): An institutional experience and review of literature. SHILAP Revista de lepidopterología. 4(1). 236–240. 5 indexed citations

Cheng, Yu‐Wei, Jie Liu, & Toren Finkel. (2023). Mitohormesis. Cell Metabolism. 35(11). 1872–1886. 44 indexed citations

Das, Riku, Zheng Jin Tu, David Bosler, & Yu‐Wei Cheng. (2023). Identification and interpretation of TET2 noncanonical splicing site intronic variants in myeloid neoplasm patients. SHILAP Revista de lepidopterología. 4(3). 738–744. 2 indexed citations

Zuo, Zehua, Jie Liu, Zhihao Sun, et al.. (2022). ERK and c-Myc signaling in host-derived tumor endothelial cells is essential for solid tumor growth. Proceedings of the National Academy of Sciences. 120(1). e2211927120–e2211927120. 19 indexed citations

Chaaban, Mohamad R., et al.. (2022). Biphenotypic Sinonasal Sarcoma with a Novel PAX3::FOXO6 Fusion: A Case Report and Review of the Literature. Head and Neck Pathology. 17(1). 259–264. 13 indexed citations

Doxtader, Erika, et al.. (2021). Does histological assessment accurately distinguish separate primary lung adenocarcinomas from intrapulmonary metastases? A study of paired resected lung nodules in 32 patients using a routine next-generation sequencing panel for driver mutations. Journal of Clinical Pathology. 75(6). 390–396. 10 indexed citations

Cheng, Yu‐Wei, et al.. (2019). Real-time PCR and targeted next-generation sequencing in the detection of low level EGFR mutations: Instructive case analyses. Respiratory Medicine Case Reports. 28. 100901–100901. 19 indexed citations

10.

Cheng, Yu‐Wei, Feng Xu, & Jing Li. (2018). Identification of volume parameters monitored with a noninvasive ultrasonic cardiac output monitor for predicting fluid responsiveness in children after congenital heart disease surgery. Medicine. 97(39). e12289–e12289. 9 indexed citations

11.

Ali, Siraj M., Ming Yao, Jicheng Yao, et al.. (2017). Comprehensive genomic profiling of different subtypes of nasopharyngeal carcinoma reveals similarities and differences to guide targeted therapy. Cancer. 123(18). 3628–3637. 36 indexed citations

12.

Zhao, Bixiao, Qiongshi Lu, Yu‐Wei Cheng, et al.. (2016). A Genome-Wide Association Study to Identify Single-Nucleotide Polymorphisms for Acute Kidney Injury. American Journal of Respiratory and Critical Care Medicine. 195(4). 482–490. 29 indexed citations

13.

Ryslik, Gregory, Yu‐Wei Cheng, Yorgo Modis, & Hongyu Zhao. (2016). Leveraging protein quaternary structure to identify oncogenic driver mutations. BMC Bioinformatics. 17(1). 137–137. 6 indexed citations

14.

Lu, Qiongshi, et al.. (2015). A Statistical Framework to Predict Functional Non-Coding Regions in the Human Genome Through Integrated Analysis of Annotation Data. Scientific Reports. 5(1). 10576–10576. 131 indexed citations

15.

Ryslik, Gregory, Yu‐Wei Cheng, Kei-Hoi Cheung, et al.. (2014). A spatial simulation approach to account for protein structure when identifying non-random somatic mutations. BMC Bioinformatics. 15(1). 231–231. 15 indexed citations

16.

Ryslik, Gregory, Yu‐Wei Cheng, Kei-Hoi Cheung, Yorgo Modis, & Hongyu Zhao. (2014). A graph theoretic approach to utilizing protein structure to identify non-random somatic mutations. BMC Bioinformatics. 15(1). 86–86. 21 indexed citations

17.

Cheng, Yu‐Wei, Hanna Pinças, Jianmin Huang, et al.. (2014). High incidence of LRAT promoter hypermethylation in colorectal cancer correlates with tumor stage. Medical Oncology. 31(11). 254–254. 9 indexed citations

18.

Cheng, Yu‐Wei, Hanna Pinças, Manny D. Bacolod, et al.. (2008). CpG Island Methylator Phenotype Associates with Low-Degree Chromosomal Abnormalities in Colorectal Cancer. Clinical Cancer Research. 14(19). 6005–6013. 77 indexed citations

19.

Byrne, Elaine, et al.. (2007). RNA Editing in Physarum Mitochondria: Assays and Biochemical Approaches. Methods in enzymology on CD-ROM/Methods in enzymology. 424. 143–172. 8 indexed citations

20.

Favis, Reyna, Norman P. Gerry, Yu‐Wei Cheng, & Francis Barany. (2005). Applications of the Universal DNA Microarray in Molecular Medicine. Humana Press eBooks. 114. 25–58. 11 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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