Zaixiang Tang

1.5k total citations
92 papers, 933 citations indexed

About

Zaixiang Tang is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Zaixiang Tang has authored 92 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 19 papers in Genetics and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Zaixiang Tang's work include Genetic Mapping and Diversity in Plants and Animals (14 papers), Genetics and Plant Breeding (10 papers) and Gene expression and cancer classification (9 papers). Zaixiang Tang is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (14 papers), Genetics and Plant Breeding (10 papers) and Gene expression and cancer classification (9 papers). Zaixiang Tang collaborates with scholars based in China, United States and Taiwan. Zaixiang Tang's co-authors include Nengjun Yi, Xinyan Zhang, Chenwu Xu, Yueping Shen, Zefeng Yang, Xuefeng Wang, Andrew K. Benson, Lei Zhang, Himel Mallick and Xiangqin Cui and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Zaixiang Tang

84 papers receiving 914 citations

Peers

Zaixiang Tang
Fang Shao China
Zachary R. McCaw United States
Xinyan Zhang United States
Emily Holzinger United States
R. A. Elton United Kingdom
Seung Won Hyun South Korea
Juan Pablo Lewinger United States
Soohyun Ahn South Korea
Fang Shao China
Zaixiang Tang
Citations per year, relative to Zaixiang Tang Zaixiang Tang (= 1×) peers Fang Shao

Countries citing papers authored by Zaixiang Tang

Since Specialization
Citations

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

Fields of papers citing papers by Zaixiang Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaixiang Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Zaixiang Tang. A scholar is included among the top collaborators of Zaixiang Tang 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 Zaixiang Tang. Zaixiang Tang 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
3.
Wang, Xichao, Ke Zhang, Lei Wang, et al.. (2025). The state of prediction models in hematologic disease: a worrisome assessment. Current Opinion in Hematology. 32(3). 176–185.
4.
Huang, Jie, Huan Liu, Yan He, et al.. (2024). Tea consumption and cognitive health in Chinese older adults: A propensity score matching and weighting analysis. Archives of Gerontology and Geriatrics. 131. 105735–105735. 1 indexed citations
6.
Shen, Junjie, Shuo Wang, Yongfei Dong, et al.. (2024). A non-negative spike-and-slab lasso generalized linear stacking prediction modeling method for high-dimensional omics data. BMC Bioinformatics. 25(1). 119–119. 3 indexed citations
7.
Shen, Junjie, Xinghao Yu, Lu Bai, et al.. (2023). Efficient feature extraction from highly sparse binary genotype data for cancer prognosis prediction using an auto-encoder. Frontiers in Oncology. 12. 1091767–1091767. 1 indexed citations
8.
Wang, Xichao, Ke Lü, Junjie Shen, et al.. (2023). Correlation between meteorological factors and vitamin D status under different season. Scientific Reports. 13(1). 4762–4762. 6 indexed citations
9.
Ji, Mengmeng, et al.. (2023). Sex-specific association of serum uric acid trajectories with risk of incident retinal arteriosclerosis in Chinese population: A population-based longitudinal study. Frontiers in Cardiovascular Medicine. 10. 1116486–1116486. 2 indexed citations
10.
Zhang, Yuqi, Jie Xu, Zaixiang Tang, et al.. (2023). Risk Factors for Carbapenem-Resistant Enterobacteriaceae Colonization and the Effect on Clinical Outcomes and Prognosis in Allogeneic Hematopoietic Stem Cell Transplanted Patients. Infection and Drug Resistance. Volume 16. 6821–6831. 7 indexed citations
11.
Zheng, Yan, Lu Bai, Jie Sun, et al.. (2022). Diagnostic value of radiomics model based on gray-scale and contrast-enhanced ultrasound for inflammatory mass stage periductal mastitis/duct ectasia. Frontiers in Oncology. 12. 981106–981106. 7 indexed citations
12.
Zhao, Qi, Wei Yang, Xinyan Zhang, et al.. (2022). Development and validation of an immune-related gene signature for predicting the radiosensitivity of lower-grade gliomas. Scientific Reports. 12(1). 6698–6698. 8 indexed citations
13.
Liu, Ying, et al.. (2021). Bullous Pemphigoid and Diabetes medications: A disproportionality analysis based on the FDA Adverse Event Reporting System. International Journal of Medical Sciences. 18(9). 1946–1952. 5 indexed citations
14.
Li, Zhongyang, Shang Cai, Ye Tian, et al.. (2021). Developing a lncRNA Signature to Predict the Radiotherapy Response of Lower-Grade Gliomas Using Co-expression and ceRNA Network Analysis. Frontiers in Oncology. 11. 622880–622880. 14 indexed citations
15.
Liu, Jingfang, Yujie Ji, Jiawei Jin, et al.. (2020). Low Expression of DDX60 Gene Might Associate with the Radiosensitivity for Patients with Breast Cancer. Journal of Oncology. 2020. 1–11. 9 indexed citations
16.
Zhang, Xinyan, Himel Mallick, Zaixiang Tang, et al.. (2017). Negative binomial mixed models for analyzing microbiome count data. BMC Bioinformatics. 18(1). 4–4. 107 indexed citations
17.
Li, Jie, Lingling Qian, Huating Li, et al.. (2016). Application of body adiposity index in the Chinese people in Shanghai area. 8(5). 278–282. 2 indexed citations
18.
Wang, Lan, Long‐Fei Wu, Xin Lu, et al.. (2015). Integrated Analyses of Gene Expression Profiles Digs out Common Markers for Rheumatic Diseases. PLoS ONE. 10(9). e0137522–e0137522. 18 indexed citations
19.
Zhu, Xiaowei, Fei‐Yan Deng, Long‐Fei Wu, Zaixiang Tang, & Shu‐Feng Lei. (2015). Functional mechanisms for type 2 diabetes-associated genetic variants. Journal of Diabetes and its Complications. 29(4). 497–501. 1 indexed citations
20.
Tang, Zaixiang. (2012). Integrated Application of Risk Matrix and Borda Count Methods to Assessment of the Risks of Public Health Emergency Events during Regional Large-Scale Activities. Huanjing yu zhiye yixue. 1 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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