Zhen Qian

2.6k total citations · 1 hit paper
79 papers, 1.7k citations indexed

About

Zhen Qian is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Hematology. According to data from OpenAlex, Zhen Qian has authored 79 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 19 papers in Computer Vision and Pattern Recognition and 18 papers in Hematology. Recurrent topics in Zhen Qian's work include Acute Myeloid Leukemia Research (17 papers), Medical Image Segmentation Techniques (17 papers) and Epigenetics and DNA Methylation (9 papers). Zhen Qian is often cited by papers focused on Acute Myeloid Leukemia Research (17 papers), Medical Image Segmentation Techniques (17 papers) and Epigenetics and DNA Methylation (9 papers). Zhen Qian collaborates with scholars based in China, United States and Taiwan. Zhen Qian's co-authors include Yufang Huang, Wentao Zhu, Xiaohui Xie, Wei Fan, Liang Zeng, Yong Liu, Xuming Chen, Nan Du, Jun Qian and Jiang Lin and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Zhen Qian

74 papers receiving 1.7k citations

Hit Papers

AnatomyNet: Deep learning for fast and fully automated wh... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen Qian China 22 494 370 321 285 281 79 1.7k
Lisheng Wang China 24 952 1.9× 673 1.8× 175 0.5× 197 0.7× 279 1.0× 139 2.6k
Kimerly Powell United States 34 552 1.1× 455 1.2× 463 1.4× 38 0.1× 227 0.8× 92 3.3k
Ke Zhao China 23 363 0.7× 475 1.3× 125 0.4× 145 0.5× 94 0.3× 125 1.8k
Chih‐Hung Lin Taiwan 24 331 0.7× 112 0.3× 95 0.3× 63 0.2× 207 0.7× 124 2.0k
Zhaohui Zheng China 22 442 0.9× 77 0.2× 46 0.1× 115 0.4× 264 0.9× 76 2.0k
Jingcheng Wang United States 32 1.3k 2.5× 222 0.6× 247 0.8× 721 2.5× 181 0.6× 67 4.8k
Erik B. Dam Denmark 23 196 0.4× 381 1.0× 513 1.6× 24 0.1× 386 1.4× 75 2.4k
Johan Verjans Australia 24 553 1.1× 625 1.7× 484 1.5× 19 0.1× 213 0.8× 68 2.5k
Takashi Sonoda Japan 29 573 1.2× 88 0.2× 199 0.6× 72 0.3× 115 0.4× 157 2.6k

Countries citing papers authored by Zhen Qian

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Qian. A scholar is included among the top collaborators of Zhen Qian 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 Zhen Qian. Zhen Qian 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.
Li, Jinghui, Wen Zhang, Zhen Qian, et al.. (2025). Physical Modeling of High-Pressure Flooding and Development of Oil Displacement Agent for Carbonate Fracture-Vuggy Reservoir. Processes. 13(1). 71–71. 1 indexed citations
2.
Wang, Jian, et al.. (2024). A 3D framework for segmentation of carotid artery vessel wall and identification of plaque compositions in multi-sequence MR images. Computerized Medical Imaging and Graphics. 116. 102402–102402. 2 indexed citations
3.
Jiang, Lijun, Xinyi Du, Zhen Qian, et al.. (2024). The cGAS-Ku80 complex regulates the balance between two end joining subpathways. Cell Death and Differentiation. 31(6). 792–803. 2 indexed citations
4.
Wu, Di, Yigang Zhang, Jingyu Qian, et al.. (2024). LARS1 is a Prognostic Biomarker and Exhibits a Correlation with Immune Infiltrates in Hepatocellular Carcinoma. International Journal of General Medicine. Volume 17. 2203–2221. 1 indexed citations
5.
Xie, Bo, Yang Zhang, Pei‐Pei Yang, et al.. (2023). Comprehensive analysis of ASB3 as a prognostic biomarker in hepatocellular carcinoma. Translational Oncology. 39. 101816–101816.
6.
Geng, Anke, Jin Huang, Zhen Qian, et al.. (2020). The deacetylase SIRT6 promotes the repair of UV-induced DNA damage by targeting DDB2. Nucleic Acids Research. 48(16). 9181–9194. 48 indexed citations
7.
Wang, Dee Dee, Zhen Qian, Marija Vukicevic, et al.. (2020). 3D Printing, Computational Modeling, and Artificial Intelligence for Structural Heart Disease. JACC. Cardiovascular imaging. 14(1). 41–60. 90 indexed citations
8.
Chen, Yu, Anke Geng, Weina Zhang, et al.. (2020). Fight to the bitter end: DNA repair and aging. Ageing Research Reviews. 64. 101154–101154. 36 indexed citations
9.
Qian, Zhen, Kan Wang, Shizhen Liu, et al.. (2017). Quantitative Prediction of Paravalvular Leak in Transcatheter Aortic Valve Replacement Based on Tissue-Mimicking 3D Printing. JACC. Cardiovascular imaging. 10(7). 719–731. 94 indexed citations
10.
Wei, Tingyi, Wenwen Jia, Zhen Qian, et al.. (2016). Folic Acid Supports Pluripotency and Reprogramming by Regulating LIF/STAT3 and MAPK/ERK Signaling. Stem Cells and Development. 26(1). 49–59. 13 indexed citations
11.
Yang, Jing, Dong‐ming Yao, Ji‐chun Ma, et al.. (2016). The prognostic implication of SRSF2 mutations in Chinese patients with acute myeloid leukemia. Tumor Biology. 37(8). 10107–10114. 19 indexed citations
12.
Chen, Xing‐Xing, Jiang Lin, Jun Qian, et al.. (2014). Methylation of CTNNA1 promoter: Frequent but not an adverse prognostic factor in acute myeloid leukemia. Leukemia Research. 38(5). 613–618. 7 indexed citations
14.
Lin, Jiang, Dong‐ming Yao, Jun Qian, et al.. (2011). IDH1 and IDH2 mutation analysis in Chinese patients with acute myeloid leukemia and myelodysplastic syndrome. Annals of Hematology. 91(4). 519–525. 89 indexed citations
15.
Qian, Zhen, Jun Qian, Jiang Lin, et al.. (2010). GTPase regulator associated with the focal adhesion kinase (GRAF) transcript was down-regulated in patients with myeloid malignancies. Journal of Experimental & Clinical Cancer Research. 29(1). 111–111. 8 indexed citations
16.
Yao, Dong‐ming, Jun Qian, Jiang Lin, et al.. (2010). Aberrant methylation of CCAAT/enhancer binding protein zeta promoter in acute myeloid leukemia. Leukemia Research. 35(7). 957–960. 8 indexed citations
17.
Qian, Jun, Zhen Qian, Jiang Lin, et al.. (2010). Abnormal methylation of GRAF promoter Chinese patients with acute myeloid leukemia. Leukemia Research. 35(6). 783–786. 12 indexed citations
18.
Pasternack, Robert M., Zhen Qian, Jingyi Zheng, et al.. (2008). Measurement of subcellular texture by optical Gabor-like filtering with a digital micromirror device. Optics Letters. 33(19). 2209–2209. 9 indexed citations
19.
Metaxas, Dimitris, Leon Axel, Zhen Qian, & Xiaolei Huang. (2006). A Segmentation and Tracking System for 4D Cardiac Tagged MR Images. PubMed. 2006. 1541–1544. 3 indexed citations
20.
Qian, Zhen, Dimitris Metaxas, & Leon Axel. (2006). Extraction and Tracking of MRI Tagging Sheets Using a 3D Gabor Filter Bank. PubMed. 2006. 711–714. 29 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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