Handong Ma

852 total citations
22 papers, 648 citations indexed

About

Handong Ma is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Handong Ma has authored 22 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Genetics. Recurrent topics in Handong Ma's work include Biomedical Text Mining and Ontologies (4 papers), Estrogen and related hormone effects (4 papers) and Topic Modeling (2 papers). Handong Ma is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Estrogen and related hormone effects (4 papers) and Topic Modeling (2 papers). Handong Ma collaborates with scholars based in China, United States and Czechia. Handong Ma's co-authors include Guichun Han, Richard E. White, Scott A. Barman, Gaoliang Ouyang, Zhengjie Huang, Tiantian Wu, Dafan Chen, Yingfu Liu, Jing Wang and Xueli Zhao and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, American Journal of Physiology-Endocrinology and Metabolism and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Handong Ma

21 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Handong Ma China 11 310 192 132 113 74 22 648
Yaara Ber Israel 14 380 1.2× 114 0.6× 70 0.5× 79 0.7× 69 0.9× 34 883
Anoop Grewal United States 7 269 0.9× 88 0.5× 72 0.5× 111 1.0× 51 0.7× 13 463
Marianna Aprile Italy 15 477 1.5× 245 1.3× 64 0.5× 48 0.4× 74 1.0× 22 731
Max Walker United States 10 226 0.7× 143 0.7× 59 0.4× 77 0.7× 60 0.8× 12 597
Hugues Sicotte United States 19 713 2.3× 259 1.3× 246 1.9× 56 0.5× 193 2.6× 39 1.3k
Guang‐Nian Zhao China 16 430 1.4× 151 0.8× 55 0.4× 47 0.4× 87 1.2× 24 868
Maya Ghoussaini United Kingdom 15 565 1.8× 146 0.8× 363 2.8× 49 0.4× 38 0.5× 16 932
Yangzhige He China 10 288 0.9× 97 0.5× 53 0.4× 71 0.6× 104 1.4× 21 527
Tianbo Jin China 15 279 0.9× 181 0.9× 88 0.7× 33 0.3× 95 1.3× 68 608
Susan M. Meyn United States 13 269 0.9× 97 0.5× 107 0.8× 214 1.9× 60 0.8× 21 676

Countries citing papers authored by Handong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Handong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Handong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Handong Ma. A scholar is included among the top collaborators of Handong 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 Handong Ma. Handong 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.
Wang, Xiaoli, et al.. (2023). Development and validation of machine learning models for venous thromboembolism risk assessment at admission: a retrospective study. Frontiers in Cardiovascular Medicine. 10. 1198526–1198526. 6 indexed citations
2.
Ma, Handong, et al.. (2023). Arf1 Ablation in Colorectal Cancer Cells Activates a Super Signal Complex in DC to Enhance Anti‐Tumor Immunity. Advanced Science. 10(32). e2305089–e2305089. 18 indexed citations
3.
Ma, Handong, et al.. (2022). A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data. Journal of Biomedical Informatics. 134. 104210–104210. 5 indexed citations
4.
Wang, Xing, Chunming Li, Yan He, et al.. (2020). Anti-osteoporosis medication treatment pattern after osteoporotic fracture during 2010–2016 in Fujian, China. Archives of Osteoporosis. 15(1). 134–134. 9 indexed citations
5.
Ma, Handong, Jing Wang, Xueli Zhao, et al.. (2020). Periostin Promotes Colorectal Tumorigenesis through Integrin-FAK-Src Pathway-Mediated YAP/TAZ Activation. Cell Reports. 30(3). 793–806.e6. 135 indexed citations
6.
Chen, Ken, Shaodian Zhang, Fei Wang, et al.. (2019). Improving the Efficacy of the Data Entry Process for Clinical Research With a Natural Language Processing–Driven Medical Information Extraction System: Quantitative Field Research. JMIR Medical Informatics. 7(3). e13331–e13331. 11 indexed citations
7.
Zhang, Xingting, Ken Chen, Dong Wen, et al.. (2019). Development of a Consumer Health Vocabulary by Mining Health Forum Texts Based on Word Embedding: Semiautomatic Approach. JMIR Medical Informatics. 7(2). e12704–e12704. 10 indexed citations
8.
Guo, Xusheng, et al.. (2017). A cascaded approach for Chinese clinical text de-identification with less annotation effort. Journal of Biomedical Informatics. 73. 76–83. 16 indexed citations
9.
Zhang, Jiang, et al.. (2017). Experimental Investigation on Flow Characteristic of Combination of Forward-facing Jet and Spike. 21st AIAA International Space Planes and Hypersonics Technologies Conference. 6 indexed citations
10.
Ma, Handong & Chunhua Weng. (2016). Prediction of black box warning by mining patterns of Convergent Focus Shift in clinical trial study populations using linked public data. Journal of Biomedical Informatics. 60. 132–144. 4 indexed citations
11.
12.
Fan, Chuannan, Yubin Mao, Zhengjie Huang, et al.. (2016). MicroRNA-543 suppresses colorectal cancer growth and metastasis by targeting KRAS, MTA1 and HMGA2. Oncotarget. 7(16). 21825–21839. 78 indexed citations
13.
Zhang, Jiang, et al.. (2015). Improving Quality of Wind Tunnel Test Data Through the MDOE. Procedia Engineering. 99. 1610–1618. 2 indexed citations
14.
Ma, Handong, Yun Hao, Xinran Dong, et al.. (2012). Molecular Mechanisms and Function Prediction of Long Noncoding RNA. The Scientific World JOURNAL. 2012. 1–11. 111 indexed citations
15.
Yu, Xuan, Handong Ma, Scott A. Barman, et al.. (2011). Activation of G protein-coupled estrogen receptor induces endothelium-independent relaxation of coronary artery smooth muscle. American Journal of Physiology-Endocrinology and Metabolism. 301(5). E882–E888. 84 indexed citations
16.
Ma, Handong. (2010). Numerical simulation of aero-optical effects for the flow field around the optical window. 4 indexed citations
17.
Han, Guichun, et al.. (2009). Essential Role of the 90-Kilodalton Heat Shock Protein in Mediating Nongenomic Estrogen Signaling in Coronary Artery Smooth Muscle. Journal of Pharmacology and Experimental Therapeutics. 329(3). 850–855. 33 indexed citations
18.
Han, Guichun, Handong Ma, Katsuya Miyake, et al.. (2007). Nongenomic, endothelium-independent effects of estrogen on human coronary smooth muscle are mediated by type I (neuronal) NOS and PI3-kinase-Akt signaling. American Journal of Physiology-Heart and Circulatory Physiology. 293(1). H314–H321. 71 indexed citations
19.
Han, Guichun, Xiuping Yu, Lu Luo, et al.. (2006). Estrogen Receptor α Mediates Acute Potassium Channel Stimulation in Human Coronary Artery Smooth Muscle Cells. Journal of Pharmacology and Experimental Therapeutics. 316(3). 1025–1030. 33 indexed citations
20.
Ma, Handong. (2005). Aerodynamic Experiments in Large-Size Wind Tunnel Can be Realized in Common Small-Size Wind Tunnel.

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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