Weida Tong

30.1k total citations · 2 hit papers
344 papers, 13.3k citations indexed

About

Weida Tong is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Weida Tong has authored 344 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 190 papers in Molecular Biology, 103 papers in Computational Theory and Mathematics and 58 papers in Genetics. Recurrent topics in Weida Tong's work include Computational Drug Discovery Methods (103 papers), Gene expression and cancer classification (77 papers) and Bioinformatics and Genomic Networks (54 papers). Weida Tong is often cited by papers focused on Computational Drug Discovery Methods (103 papers), Gene expression and cancer classification (77 papers) and Bioinformatics and Genomic Networks (54 papers). Weida Tong collaborates with scholars based in United States, China and United Kingdom. Weida Tong's co-authors include Roger Perkins, Hong Fang, Huixiao Hong, Minjun Chen, Leming Shi, Daniel M. Sheehan, Jürgen Borlak, Ruth Roberts, William J. Welsh and Qian Xie and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Weida Tong

333 papers receiving 12.9k 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.

FDA-approved drug labeling for the study of drug-induced liver injury

2011 296 citations Minjun Chen, Zhichao Liu et al. Drug Discovery Today profile →
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans

2016 267 citations Minjun Chen, Shraddha Thakkar et al. Drug Discovery Today profile →

Peers

Countries citing papers authored by Weida Tong

Since Specialization

Citations

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

Fields of papers citing papers by Weida Tong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weida Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Weida Tong. A scholar is included among the top collaborators of Weida Tong 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 Weida Tong. Weida Tong 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	New approach methodologies (NAMs) for drug-induced liver injury (DILI): Where are we now? 2025 ·Drug Discovery Today ·(unknown), Minjun Chen, Dongying Li, Weida Tong	2
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	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
4	The Quartet Data Portal: integration of community-wide resources for multiomics quality control 2023 ·Genome biology ·Jingcheng Yang, Yaqing Liu, Jun Shang, Qiaochu Chen, Qingwang Chen, Luyao Ren, Naixin Zhang, Ying Yu, Zhihui Li, (unknown), (unknown), Andreas Scherer, Weida Tong, Huixiao Hong, Wenming Xiao, Leming Shi, Yuanting Zheng	7
5	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
6	DeepCarc: Deep Learning-Powered Carcinogenicity Prediction Using Model-Level Representation 2021 ·Frontiers in Artificial Intelligence ·Ting Li, Weida Tong, Ruth Roberts, Zhichao Liu, Shraddha Thakkar	39
7	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
8	Development of a Battery of In Silico Prediction Tools for Drug-Induced Liver Injury from the Vantage Point of Translational Safety Assessment 2020 ·Chemical Research in Toxicology ·James F. Rathman, Chihae Yang, (unknown), Aleksandra Mostrąg, Shraddha Thakkar, Weida Tong, (unknown), Oliver Sacher, Tomasz Magdziarz, Bruno Bienfait	10
9	Regulation of cytochrome P450 expression by microRNAs and long noncoding RNAs: Epigenetic mechanisms in environmental toxicology and carcinogenesis 2019 ·Journal of Environmental Science and Health Part C ·Dongying Li, William H. Tolleson, Dianke Yu, Si Chen, Lei Guo, Wenming Xiao, Weida Tong, Baitang Ning	55
10	MicroRNAs hsa-miR-495-3p and hsa-miR-486-5p suppress basal and rifampicin-induced expression of human sulfotransferase 2A1 (SULT2A1) by facilitating mRNA degradation 2019 ·Biochemical Pharmacology ·Dongying Li, Bridgett Knox, Si Chen, Leihong Wu, William H. Tolleson, Zhichao Liu, Dianke Yu, Lei Guo, Weida Tong, Baitang Ning	16
11	ArrayTrack: An FDA and Public Genomic Tool 2017 ·Methods in molecular biology ·Hong Fang, Stephen Harris, (unknown), Minjun Chen, Feng Qian, Leming Shi, Roger Perkins, Weida Tong	10
12	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
13	EADB: An Estrogenic Activity Database for Assessing Potential Endocrine Activity 2013 ·Toxicological Sciences ·Jie Shen, Lei Xu, Hong Fang, Ann M. Richard, Jeffrey D. Bray, Richard Judson, Guangxu Zhou, Thomas Colatsky, Jason Aungst, Christina T. Teng, (unknown), Weigong Ge, Susie Y. Dai, Zhenqiang Su, Abigail Jacobs, Wafa Harrouk, Roger Perkins, Weida Tong, Huixiao Hong	56
14	2012 Global Summit on Regulatory Science (GSRS-2012)—Modernizing Toxicology 2012 ·Toxicological Sciences ·Margaret A. Miller, Weida Tong, (unknown), William Slikker	4
15	ISA software suite: supporting standards-compliant experimental annotation and enabling curation at the community level 2010 ·Bioinformatics ·Philippe Rocca‐Serra, Marco Brandizi, Eamonn Maguire, Nataliya Sklyar, Chris Taylor, Kimberly Begley, Dawn Field, Stephen Harris, (unknown), Oliver Hofmann, Steffen Neumann, Peter Sterk, Weida Tong, Susanna‐Assunta Sansone	171
16	The Accurate Prediction of Protein Family from Amino Acid Sequence by Measuring Features of Sequence Fragments 2009 ·Journal of Computational Biology ·Huixiao Hong, (unknown), Roger Perkins, Leming Shi, Hong Fang, Zhenqiang Su, Yvonne P. Dragan, James C. Fuscoe, Weida Tong	11
17	The First RSBI (ISA-TAB) Workshop: “Can a Simple Format Work for Complex Studies?” 2008 ·OMICS A Journal of Integrative Biology ·Susanna‐Assunta Sansone, Philippe Rocca‐Serra, Marco Brandizi, Alvis Brāzma, Dawn Field, Jennifer Fostel, (unknown), Jack A. Gilbert, Federico Goodsaid, Nigel Hardy, P. D. Jones, Allyson Lister, Michael Miller, Norman Morrison, Tim F. Rayner, Nataliya Sklyar, Chris Taylor, Weida Tong, (unknown), Stefan Wiemann, (unknown)	58
18	Classification of cDNA Array Genes That Have a Highly Significant Discriminative Power Due to Their Unique Distribution in Four Brain Regions 2004 ·DNA and Cell Biology ·Hong Fang, Weida Tong, Leming Shi, Robert L. Jakab, John F. Bowyer	3
19	QSAR Models for Binding of Estrogenic Compounds to Estrogen Receptor α and β Subtypes 1997 ·Endocrinology ·Weida Tong, Roger Perkins, Xing Li, William J. Welsh, Daniel M. Sheehan	117
20	QSAR Models for Binding of Estrogenic Compounds to Estrogen Receptor and Subtypes 1997 ·Endocrinology ·Weida Tong	42

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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