Joshua Xu

5.9k total citations
75 papers, 1.3k citations indexed

About

Joshua Xu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Joshua Xu has authored 75 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 19 papers in Cancer Research and 13 papers in Genetics. Recurrent topics in Joshua Xu's work include Cancer Genomics and Diagnostics (15 papers), Molecular Biology Techniques and Applications (14 papers) and Gene expression and cancer classification (12 papers). Joshua Xu is often cited by papers focused on Cancer Genomics and Diagnostics (15 papers), Molecular Biology Techniques and Applications (14 papers) and Gene expression and cancer classification (12 papers). Joshua Xu collaborates with scholars based in United States, China and Australia. Joshua Xu's co-authors include Weida Tong, Leihong Wu, Hong Fang, Binsheng Gong, Huixiao Hong, Steven L. Foley, Shraddha Thakkar, Rajesh Nayak, Zhenqiang Su and Mariano S. Viapiano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Biotechnology and PLoS ONE.

In The Last Decade

Joshua Xu

69 papers receiving 1.3k citations

Peers

Countries citing papers authored by Joshua Xu

Since Specialization

Citations

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

Fields of papers citing papers by Joshua Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Xu. A scholar is included among the top collaborators of Joshua Xu 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 Joshua Xu. Joshua Xu 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

#	Work	Indexed citations
1	Zika and dengue viruses differentially modulate host mRNA processing factors defining its virulence 2025 ·PubMed ·(unknown), Binsheng Gong, Bingjie Li, Tahira Fatima, (unknown), (unknown), María Rios, Joshua Xu, Sandip De	0
2	Leveraging FDA Labeling Documents and Large Language Model to Enhance Annotation, Profiling, and Classification of Drug Adverse Events with AskFDALabel 2025 ·Drug Safety ·Leihong Wu, Hong Fang, (unknown), Joshua Xu, Weida Tong	0
3	Assessing the performance of large language models in literature screening for pharmacovigilance: a comparative study 2024 ·SHILAP Revista de lepidopterología ·(unknown), Leihong Wu, Mingfeng Zhang, Svitlana Shpyleva, (unknown), (unknown), Ting Li, Joshua Xu	4
4	Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study 2024 ·Journal of Racial and Ethnic Health Disparities ·(unknown), Christine Merenda, Richardae Araojo, Christine Lee, (unknown), Ying Zhang, Jessica Reese, Kimberly Malloy, (unknown), Wen Zou, Joshua Xu, Elisa Lee	0
5	Description and Validation of a Novel AI Tool, LabelComp, for the Identification of Adverse Event Changes in FDA Labeling 2024 ·Drug Safety ·(unknown), Leihong Wu, Joshua Xu, Esther H. Zhou, (unknown), (unknown), (unknown), (unknown), Ellen Pinnow, Hong Fang	1
6	Towards accurate indel calling for oncopanel sequencing through an international pipeline competition at precisionFDA 2024 ·Scientific Reports ·Binsheng Gong, Samir Lababidi, Rebecca Kusko, (unknown), (unknown), Vishal Thovarai, (unknown), Ezekiel J. Maier, Mahdi Golkaram, (unknown), Konstantinos Kyriakidis, João Paulo Kitajima, Sayed Mohammad Ebrahim Sahraeian, Yunfei Guo, Elaine Johanson, Wendell Jones, Weida Tong, Joshua Xu	0
7	Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method 2023 ·Genome biology ·Ying Yu, Naixin Zhang, (unknown), Luyao Ren, Qiaochu Chen, (unknown), Qingwang Chen, Yaqing Liu, Wanwan Hou, Jingcheng Yang, Huixiao Hong, Joshua Xu, Weida Tong, Lianhua Dong, Leming Shi, Xiang Fang, Yuanting Zheng	27
8	Using synthetic chromosome controls to evaluate the sequencing of difficult regions within the human genome 2022 ·Genome biology ·(unknown), Ira W. Deveson, Bindu Swapna Madala, Ted Wong, Chris Barker, Joshua Xu, Niall J. Lennon, Weida Tong, Tim R. Mercer	5
9	Oncogenic ZMYND11-MBTD1 fusion protein anchors the NuA4/TIP60 histone acetyltransferase complex to the coding region of active genes 2022 ·Cell Reports ·(unknown), (unknown), (unknown), Joshua Xu, Nader Alerasool, (unknown), Nicholas Wong, (unknown), Amélie Fradet‐Turcotte, Mikko Taipale, Kristin J. Hope, Samer M. I. Hussein, Jacques Côté	7
10	Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity 2022 ·Scientific Data ·Binsheng Gong, Ira W. Deveson, Tim R. Mercer, Donald J. Johann, Wendell Jones, Weida Tong, Joshua Xu	5
11	Ultra-deep multi-oncopanel sequencing of benchmarking samples with a wide range of variant allele frequencies 2022 ·Scientific Data ·Binsheng Gong, Rebecca Kusko, Wendell Jones, Weida Tong, Joshua Xu	2
12	DLI-IT: a deep learning approach to drug label identification through image and text embedding 2020 ·BMC Medical Informatics and Decision Making ·(unknown), Joe Meehan, Weida Tong, Leihong Wu, Xiaowei Xu, Joshua Xu	14
13	Study of pharmacogenomic information in FDA-approved drug labeling to facilitate application of precision medicine 2020 ·Drug Discovery Today ·(unknown), (unknown), Taylor Ingle, Catherine Li, Zhichao Liu, Shraddha Thakkar, Baitang Ning, Leihong Wu, (unknown), Steve Harris, Guangxu Zhou, Joshua Xu, Weida Tong, Lawrence J. Lesko, Hong Fang	27
14	Abstract 3539: Impact of formalin time on targeted NGS performance in FFPE tissue 2019 ·Cancer Research ·Thomas Blomquist, Erin L. Crawford, James C. Willey, Joshua Xu	1
15	Species Identification of Food Contaminating Beetles by Recognizing Patterns in Microscopic Images of Elytra Fragments 2016 ·PLoS ONE ·(unknown), Halil Bişğin, Hongjian Ding, (unknown), (unknown), Weida Tong, Joshua Xu	10
16	NETBAGs: A Network-Based Clustering Approach with Gene Signatures for Cancer Subtyping Analysis 2015 ·Biomarkers in Medicine ·Leihong Wu, Zhichao Liu, Joshua Xu, Minjun Chen, Hong Fang, Weida Tong, Wenming Xiao	7
17	Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq 2014 ·Scientific Data ·Binsheng Gong, Charles Wang, Zhenqiang Su, Huixiao Hong, Jean Thierry‐Mieg, Danielle Thierry‐Mieg, Leming Shi, Scott S. Auerbach, Weida Tong, Joshua Xu	21
18	Polydimethylsiloxane core–polycaprolactone shell nanofibers as biocompatible, real-time oxygen sensors 2013 ·Sensors and Actuators B Chemical ·(unknown), Prajna Behera, Joshua Xu, Mariano S. Viapiano, John J. Lannutti	74
19	ArrayTrack: a free FDA bioinformatics tool to support emerging biomedical research -- an update 2010 ·Human Genomics ·Joshua Xu, Reagan Kelly, Hong Fang, Weida Tong	17
20	Microarray analysis of virulence gene profiles in Salmonella serovars from food/food animal environment 2010 ·The Journal of Infection in Developing Countries ·Wen Zou, Sufian F. Al‐Khaldi, William S. Branham, Tao Han, James C. Fuscoe, Jing Han, Steven L. Foley, Joshua Xu, Hong Fang, Carl E. Cerniglia, Rajesh Nayak	44

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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