Baoshan Ma

8.7k total citations
33 papers, 758 citations indexed

About

Baoshan Ma is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Baoshan Ma has authored 33 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Baoshan Ma's work include Machine Learning in Bioinformatics (5 papers), Gene expression and cancer classification (5 papers) and Bioinformatics and Genomic Networks (5 papers). Baoshan Ma is often cited by papers focused on Machine Learning in Bioinformatics (5 papers), Gene expression and cancer classification (5 papers) and Bioinformatics and Genomic Networks (5 papers). Baoshan Ma collaborates with scholars based in China, United States and United Kingdom. Baoshan Ma's co-authors include Liming Liang, Fengju Song, Zhaozhong Zhu, Carlos A. Camargo, Kohei Hasegawa, Michimasa Fujiogi, Yan Ge, Fanyu Meng, Haowen Yan and Ge Yan and has published in prestigious journals such as Nucleic Acids Research, Circulation and Blood.

In The Last Decade

Baoshan Ma

31 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baoshan Ma China 11 303 152 130 95 80 33 758
Prabhakar Chalise United States 18 423 1.4× 114 0.8× 89 0.7× 116 1.2× 129 1.6× 68 958
Zhiyuan Chen China 15 270 0.9× 348 2.3× 137 1.1× 68 0.7× 116 1.4× 54 997
Jun Ye China 15 262 0.9× 289 1.9× 62 0.5× 131 1.4× 94 1.2× 57 941
Attila Frigyesi Sweden 20 555 1.8× 55 0.4× 177 1.4× 255 2.7× 106 1.3× 61 1.3k
Yihao Liu China 15 143 0.5× 216 1.4× 46 0.4× 35 0.4× 97 1.2× 50 788
Federica Bellerba Italy 16 150 0.5× 128 0.8× 153 1.2× 103 1.1× 236 3.0× 44 832
Nathanael R. Fillmore United States 15 225 0.7× 187 1.2× 71 0.5× 36 0.4× 229 2.9× 92 903
Zheng Yang China 19 379 1.3× 165 1.1× 136 1.0× 143 1.5× 204 2.5× 81 1.1k
Atefeh Abedini Iran 15 131 0.4× 171 1.1× 226 1.7× 30 0.3× 75 0.9× 90 799
Le Kang United States 18 129 0.4× 55 0.4× 233 1.8× 59 0.6× 101 1.3× 88 1.0k

Countries citing papers authored by Baoshan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Baoshan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoshan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Baoshan Ma. A scholar is included among the top collaborators of Baoshan 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 Baoshan Ma. Baoshan 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.
Chen, Shimeng, et al.. (2025). Identification of marine microplastics by a combined method of principal component analysis and random forest for fluorescence spectrum processing. Marine Pollution Bulletin. 214. 117740–117740. 2 indexed citations
2.
Wu, Yiming, et al.. (2023). iLSGRN: inference of large-scale gene regulatory networks based on multi-model fusion. Bioinformatics. 39(10). 2 indexed citations
3.
Hou, Xiaoyu, Baoshan Ma, Ming Liu, et al.. (2023). The transcriptional risk scores for kidney renal clear cell carcinoma using XGBoost and multiple omics data. Mathematical Biosciences & Engineering. 20(7). 11676–11687. 4 indexed citations
4.
Ma, Baoshan, et al.. (2022). Parameter estimation of the COVID-19 transmission model using an improved quantum-behaved particle swarm optimization algorithm. Digital Signal Processing. 127. 103577–103577. 7 indexed citations
5.
Ma, Baoshan, et al.. (2022). Diagnostic classification of cancers using DNA methylation of paracancerous tissues. Scientific Reports. 12(1). 10646–10646. 9 indexed citations
6.
Merino, Jordi, Marta Guasch‐Ferré, Jun Li, et al.. (2022). Polygenic scores, diet quality, and type 2 diabetes risk: An observational study among 35,759 adults from 3 US cohorts. PLoS Medicine. 19(4). e1003972–e1003972. 26 indexed citations
7.
Li, Junxian, Luyang Liu, Li‐wen Zhang, et al.. (2022). Effect of estradiol as a continuous variable on breast cancer survival by menopausal status: a cohort study in China. Breast Cancer Research and Treatment. 194(1). 103–111. 1 indexed citations
8.
Ma, Baoshan, et al.. (2020). Causal Associations of Anthropometric Measurements With Fracture Risk and Bone Mineral Density: A Mendelian Randomization Study. Journal of Bone and Mineral Research. 36(7). 1281–1287. 14 indexed citations
9.
Ma, Baoshan, et al.. (2020). Diagnostic classification of cancers using extreme gradient boosting algorithm and multi-omics data. Computers in Biology and Medicine. 121. 103761–103761. 146 indexed citations
10.
Zhu, Zhaozhong, Kohei Hasegawa, Baoshan Ma, et al.. (2020). Association of obesity and its genetic predisposition with the risk of severe COVID-19: Analysis of population-based cohort data. Metabolism. 112. 154345–154345. 54 indexed citations
11.
Li, Junxian, Luyang Liu, Xin Wang, et al.. (2020). Tumor markers CA15-3, CA125, CEA and breast cancer survival by molecular subtype: a cohort study. Breast Cancer. 27(4). 621–630. 65 indexed citations
12.
Zhu, Zhaozhong, Kohei Hasegawa, Baoshan Ma, et al.. (2020). Association of asthma and its genetic predisposition with the risk of severe COVID-19. Journal of Allergy and Clinical Immunology. 146(2). 327–329.e4. 147 indexed citations
13.
14.
Ma, Baoshan, Yao Geng, Fanyu Meng, Yan Ge, & Fengju Song. (2019). Identification of a Sixteen-gene Prognostic Biomarker for Lung Adenocarcinoma Using a Machine Learning Method. Journal of Cancer. 11(5). 1288–1298. 41 indexed citations
15.
Ma, Baoshan, Jian Huang, & Ling Liang. (2014). RTeQTL: Real-Time Online Engine for Expression Quantitative Trait Loci Analyses. Database. 2014(0). bau066–bau066. 7 indexed citations
16.
Chang, Jiang, Ying Huang, Lixuan Wei, et al.. (2013). Risk prediction of esophageal squamous-cell carcinoma with common genetic variants and lifestyle factors in Chinese population. Carcinogenesis. 34(8). 1782–1786. 27 indexed citations
17.
Wu, Chen, Jiang Chang, Baoshan Ma, et al.. (2013). The Case‐Only Test for Gene–Environment Interaction is Not Uniformly Powerful: An Empirical Example. Genetic Epidemiology. 37(4). 402–407. 5 indexed citations
18.
Ma, Baoshan & Yisheng Zhu. (2010). Kalman filtering approach for human gene finding. V1–525. 2 indexed citations
19.
Ma, Baoshan, Yisheng Zhu, & Yuzhen Chen. (2009). An Improved Fourier Method for DNA Sequence Classification. 20. 1–4. 1 indexed citations
20.
Ma, Baoshan & Yisheng Zhu. (2007). An Algorithm for Gene Prediction Based on the Z Curve. 188–191. 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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