Po-Yen Wu

1.3k total citations
23 papers, 556 citations indexed

About

Po-Yen Wu is a scholar working on Molecular Biology, Cancer Research and Health Information Management. According to data from OpenAlex, Po-Yen Wu has authored 23 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Health Information Management. Recurrent topics in Po-Yen Wu's work include Genomics and Phylogenetic Studies (12 papers), Molecular Biology Techniques and Applications (10 papers) and RNA modifications and cancer (7 papers). Po-Yen Wu is often cited by papers focused on Genomics and Phylogenetic Studies (12 papers), Molecular Biology Techniques and Applications (10 papers) and RNA modifications and cancer (7 papers). Po-Yen Wu collaborates with scholars based in United States, China and British Virgin Islands. Po-Yen Wu's co-authors include May D. Wang, Chih‐Wen Cheng, Chanchala Kaddi, John H. Phan, Ryan Hoffman, Janani Venugopalan, Eleni Litsa, Konstantia Zarkogianni, Konstantina S. Nikita and Vikas Jain and has published in prestigious journals such as Nature Biotechnology, IEEE Transactions on Biomedical Engineering and BMC Bioinformatics.

In The Last Decade

Po-Yen Wu

22 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Po-Yen Wu United States	10	246	106	96	88	50	23	556
Gamage Upeksha Ganegoda Sri Lanka	10	161 0.7×	104 1.0×	62 0.6×	59 0.7×	15 0.3×	43	493
Hojin Moon United States	12	156 0.6×	193 1.8×	19 0.2×	71 0.8×	16 0.3×	34	602
Ana Cernea Spain	8	82 0.3×	36 0.3×	18 0.2×	41 0.5×	25 0.5×	25	273
Wenqi Shi United States	15	127 0.5×	225 2.1×	38 0.4×	22 0.3×	21 0.4×	79	954
Hoa N. Nguyen Vietnam	13	260 1.1×	84 0.8×	6 0.1×	41 0.5×	59 1.2×	52	699
Yingxiang Huang United States	8	197 0.8×	142 1.3×	45 0.5×	28 0.3×	59 1.2×	12	664
Yiqin Wang China	17	258 1.0×	103 1.0×	30 0.3×	93 1.1×	54 1.1×	133	1.1k
Melanie Osl Austria	9	173 0.7×	129 1.2×	21 0.2×	29 0.3×	9 0.2×	18	404
Yu‐Da Lin Taiwan	18	405 1.6×	159 1.5×	16 0.2×	71 0.8×	239 4.8×	66	796

Countries citing papers authored by Po-Yen Wu

Since Specialization

Citations

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

Fields of papers citing papers by Po-Yen Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Po-Yen Wu. 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 Po-Yen Wu. The network helps show where Po-Yen Wu may publish in the future.

Co-authorship network of co-authors of Po-Yen Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wu, Po-Yen, Vikas Jain, Mandar Kulkarni, & Aria Abubakar. (2018). Machine learning–based method for automated well-log processing and interpretation. 2041–2045. 30 indexed citations

Li, Tong, Ryan Hoffman, Po-Yen Wu, et al.. (2017). Refinement of Automated Whole Slide Image Analysis in Pediatric Heart Transplants. The Journal of Heart and Lung Transplantation. 36(4). S103–S104. 1 indexed citations

Li, Tong, et al.. (2016). Evaluating the impact of sequencing error correction for RNA-seq data with ERCC RNA spike-in controls. PubMed. 2016. 74–77. 6 indexed citations

Phan, John H., Ryan Hoffman, Sonal Kothari, Po-Yen Wu, & May D. Wang. (2016). Integration of multi-modal biomedical data to predict cancer grade and patient survival. PubMed. 2016. 577–580. 13 indexed citations

Wu, Po-Yen & May D. Wang. (2016). The selection of quantification pipelines for Illumina RNA-seq data using a subsampling approach. PubMed. 2016. 78–81. 1 indexed citations

Wu, Po-Yen, Chih‐Wen Cheng, Chanchala Kaddi, et al.. (2016). –Omic and Electronic Health Record Big Data Analytics for Precision Medicine. IEEE Transactions on Biomedical Engineering. 64(2). 263–273. 193 indexed citations

Zarkogianni, Konstantia, Eleni Litsa, Konstantinos Mitsis, et al.. (2015). A Review of Emerging Technologies for the Management of Diabetes Mellitus. IEEE Transactions on Biomedical Engineering. 62(12). 2735–2749. 72 indexed citations

Yang, Cheng, Po-Yen Wu, Tong Li, John H. Phan, & May D. Wang. (2015). The impact of RNA-seq aligners on gene expression estimation. PubMed. 2015. 462–471. 10 indexed citations

Yang, Cheng, Po-Yen Wu, John H. Phan, & May D. Wang. (2014). The impact of RNA-seq alignment pipeline on detection of differentially expressed genes. PubMed. 2012. 1376–1379. 2 indexed citations

10.

Li, Sheng, Paweł P. Łabaj, Paul Zumbo, et al.. (2014). Detecting and correcting systematic variation in large-scale RNA sequencing data. Nature Biotechnology. 32(9). 888–895. 116 indexed citations

11.

Wu, Po-Yen, Raghu Chandramohan, John H. Phan, et al.. (2014). Cardiovascular Transcriptomics and Epigenomics Using Next-Generation Sequencing. Circulation Cardiovascular Genetics. 7(5). 701–710. 13 indexed citations

12.

Cheng, Chih‐Wen, Greg S. Martin, Po-Yen Wu, & May D. Wang. (2013). PHARM - Association Rule Mining for Predictive Health. PubMed. 42. 114–117. 5 indexed citations

13.

Zhang, Hanshuo, Po-Yen Wu, Ming Ma, et al.. (2013). An integrative approach for the large-scale identification of human genome kinases regulating cancer metastasis. Nanomedicine Nanotechnology Biology and Medicine. 9(6). 732–736. 5 indexed citations

14.

Wu, Po-Yen, John H. Phan, & May D. Wang. (2013). An approach for assessing RNA-seq quantification algorithms in replication studies. PubMed. 12. 15–18. 3 indexed citations

15.

Wu, Po-Yen, John H. Phan, & May D. Wang. (2013). Assessing the impact of human genome annotation choice on RNA-seq expression estimates. BMC Bioinformatics. 14(S11). 33 indexed citations

16.

Wu, Po-Yen, John H. Phan, & May D. Wang. (2012). The effect of human genome annotation complexity on RNA-Seq gene expression quantification. PubMed. 7. 712–717. 8 indexed citations

17.

Phan, John H., Po-Yen Wu, & May D. Wang. (2012). Improving the flexibility of RNA-Seq data analysis pipelines. PubMed. 2012. 70–73. 1 indexed citations

18.

Wu, Po-Yen, John H. Phan, & May D. Wang. (2011). Exploring the feasibility of next-generation sequencing and microarray data meta-analysis. PubMed. 2011. 7618–7621. 2 indexed citations

19.

Wu, Po-Yen, John H. Phan, Fengfeng Zhou, & May D. Wang. (2011). Evaluation of normalization methods for RNA-Seq gene expression estimation. PubMed. 36. 50–57. 4 indexed citations

20.

Wu, Po-Yen, et al.. (2010). A distributed system for fast alignment of next-generation sequencing data. PubMed. 2010. 579–584.

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.

Explore authors with similar magnitude of impact