Tianzhou Ma

1.2k total citations
49 papers, 605 citations indexed

About

Tianzhou Ma is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tianzhou Ma has authored 49 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Genetics and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tianzhou Ma's work include Gene expression and cancer classification (13 papers), Genetic Associations and Epidemiology (13 papers) and Bioinformatics and Genomic Networks (12 papers). Tianzhou Ma is often cited by papers focused on Gene expression and cancer classification (13 papers), Genetic Associations and Epidemiology (13 papers) and Bioinformatics and Genomic Networks (12 papers). Tianzhou Ma collaborates with scholars based in United States, China and Canada. Tianzhou Ma's co-authors include George C. Tseng, Etienne Sibille, David A. Lewis, Ryan W. Logan, Cho-Yi Chen, Colleen A. McClung, Zhou Fang, Zhiguang Huo, Silvia Liu and Steffi Oesterreich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Tianzhou Ma

44 papers receiving 596 citations

Peers

Tianzhou Ma
Mark Perelis United States
Jacob Richards United States
Jung-Eun Choi South Korea
Mikhil Bamne United States
Gregory Turner United States
Aaron Jenkins United States
Tianzhou Ma
Citations per year, relative to Tianzhou Ma Tianzhou Ma (= 1×) peers Ingrid Masse

Countries citing papers authored by Tianzhou Ma

Since Specialization
Citations

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

Fields of papers citing papers by Tianzhou Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianzhou Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Tianzhou Ma. A scholar is included among the top collaborators of Tianzhou Ma 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 Tianzhou Ma. Tianzhou Ma 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
1.
McCoy, Rozalina G., Chen Mo, Feng Li, et al.. (2024). Contrasting association pattern of plasma low-density lipoprotein with white matter integrity in APOE4 carriers versus non-carriers. Neurobiology of Aging. 143. 41–52. 3 indexed citations
2.
Zhang, Yuan, et al.. (2024). A multivariate to multivariate approach for voxel‐wise genome‐wide association analysis. Statistics in Medicine. 43(20). 3862–3880. 1 indexed citations
3.
Zou, Jian, Yu‐Chiao Chiu, Tianzhou Ma, et al.. (2024). Systems approach for congruence and selection of cancer models towards precision medicine. PLoS Computational Biology. 20(1). e1011754–e1011754. 3 indexed citations
4.
Haley, Danielle F., Rodman Turpin, Tianzhou Ma, et al.. (2024). Exploring Psychosocial and Structural Syndemic Effects as Predictors of HIV Risk Behaviors Among Black Women (HPTN 064). Journal of Women s Health. 33(6). 816–826. 2 indexed citations
5.
Chen, Shuo, et al.. (2024). Multivariate Bayesian variable selection for multi-trait genetic fine mapping. Journal of the Royal Statistical Society Series C (Applied Statistics). 74(2). 331–351.
6.
McCoy, Rozalina G., Si Gao, Yizhou Ma, et al.. (2024). The causal effect of HbA1c on white matter brain aging by two-sample Mendelian randomization analysis. Frontiers in Neuroscience. 17. 1335500–1335500. 2 indexed citations
7.
Yu, Jiaao, et al.. (2024). Tobacco Smoking Functional Networks: A Whole-Brain Connectome Analysis in 24 539 Individuals. Nicotine & Tobacco Research. 27(5). 917–925.
8.
Hong, L. Elliot, Paul M. Thompson, Neda Jahanshad, et al.. (2024). A Site‐Wise Reliability Analysis of the ABCD Diffusion Fractional Anisotropy and Cortical Thickness: Impact of Scanner Platforms. Human Brain Mapping. 45(16). e70070–e70070.
9.
Mo, Chen, Song Liu, Si Gao, et al.. (2023). Deciphering the causal relationship between blood pressure and regional white matter integrity: A two‐sample Mendelian randomization study. Journal of Neuroscience Research. 101(9). 1471–1483. 5 indexed citations
10.
Kochunov, Peter, Yizhou Ma, Kathryn S. Hatch, et al.. (2023). Ancestral, Pregnancy, and Negative Early-Life Risks Shape Children’s Brain (Dis)similarity to Schizophrenia. Biological Psychiatry. 94(4). 332–340. 2 indexed citations
11.
Mo, Chen, Yuan Zhang, Song Liu, et al.. (2023). An in-depth association analysis of genetic variants within nicotine-related loci: Meeting in middle of GWAS and genetic fine-mapping. Molecular and Cellular Neuroscience. 127. 103895–103895. 2 indexed citations
12.
Xing, Ying, Peter Kochunov, Theo G.M. van Erp, et al.. (2022). A Novel Neighborhood Rough Set-Based Feature Selection Method and Its Application to Biomarker Identification of Schizophrenia. IEEE Journal of Biomedical and Health Informatics. 27(1). 215–226. 15 indexed citations
13.
Cruz‐Cano, Raul, et al.. (2021). Forecasting COVID-19 Cases Based on Social Distancing in Maryland, USA: A Time–Series Approach. Disaster Medicine and Public Health Preparedness. 16(5). 1798–1801.
14.
Gao, Si, Kathryn S. Hatch, Shuo Chen, et al.. (2021). Comparing empirical kinship derived heritability for imaging genetics traits in the UK biobank and human connectome project. NeuroImage. 245. 118700–118700. 4 indexed citations
15.
Chen, Shuo, Raul Cruz‐Cano, Xin He, et al.. (2021). Biomarker Categorization in Transcriptomic Meta-Analysis by Concordant Patterns With Application to Pan-Cancer Studies. Frontiers in Genetics. 12. 651546–651546. 7 indexed citations
16.
Mo, Chen, Song Liu, Kathryn S. Hatch, et al.. (2021). White Matter Integrity and Nicotine Dependence: Evaluating Vertical and Horizontal Pleiotropy. Frontiers in Neuroscience. 15. 738037–738037. 7 indexed citations
17.
Zhao, Zhiwei, et al.. (2021). Detecting survival-associated biomarkers from heterogeneous populations. Scientific Reports. 11(1). 3203–3203. 3 indexed citations
18.
Ma, Tianzhou, et al.. (2020). Variable Selection in Threshold Regression Model with Applications to HIV Drug Adherence Data. Statistics in Biosciences. 12(3). 376–398. 4 indexed citations
19.
French, Leon, Tianzhou Ma, Hyunjung Oh, George C. Tseng, & Etienne Sibille. (2017). Age-Related Gene Expression in the Frontal Cortex Suggests Synaptic Function Changes in Specific Inhibitory Neuron Subtypes. Frontiers in Aging Neuroscience. 9. 162–162. 33 indexed citations
20.
Hou, Lin, Tianzhou Ma, & Hongyu Zhao. (2014). Incorporating functional annotation information in prioritizing disease associated SNPs from genome wide association studies. Science China Life Sciences. 57(11). 1072–1079. 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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