Qinyu Ge

4.3k total citations
139 papers, 3.3k citations indexed

About

Qinyu Ge is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Qinyu Ge has authored 139 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Molecular Biology, 58 papers in Cancer Research and 19 papers in Biomedical Engineering. Recurrent topics in Qinyu Ge's work include MicroRNA in disease regulation (37 papers), Advanced biosensing and bioanalysis techniques (25 papers) and Cancer-related molecular mechanisms research (22 papers). Qinyu Ge is often cited by papers focused on MicroRNA in disease regulation (37 papers), Advanced biosensing and bioanalysis techniques (25 papers) and Cancer-related molecular mechanisms research (22 papers). Qinyu Ge collaborates with scholars based in China, United States and Bangladesh. Qinyu Ge's co-authors include Jiafeng Lu, Zuhong Lu, Yunfei Bai, Hailing Li, Li Guo, Youxia Zhou, Zhiyu Liu, Xueying Xie, Fei Tian and Zuhong Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and ACS Nano.

In The Last Decade

Qinyu Ge

130 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qinyu Ge China 29 2.3k 1.6k 439 398 292 139 3.3k
Rachael K. Parkin United States 10 7.2k 3.1× 7.0k 4.3× 223 0.5× 295 0.7× 456 1.6× 12 8.7k
Cherie Blenkiron New Zealand 26 2.6k 1.2× 1.6k 1.0× 116 0.3× 139 0.3× 236 0.8× 68 3.4k
Sascha Keller Germany 25 3.9k 1.7× 2.0k 1.2× 102 0.2× 347 0.9× 733 2.5× 41 4.8k
Ziyi Fu China 30 1.8k 0.8× 1.3k 0.8× 171 0.4× 124 0.3× 255 0.9× 121 2.7k
Esperanza González Spain 27 1.6k 0.7× 669 0.4× 82 0.2× 153 0.4× 212 0.7× 65 2.6k
N Simiónescu Romania 32 2.0k 0.9× 454 0.3× 46 0.1× 237 0.6× 563 1.9× 102 4.5k
Li Guo China 28 1.8k 0.8× 1.6k 1.0× 216 0.5× 67 0.2× 275 0.9× 124 2.8k
Haiyan Zhu China 30 1.3k 0.6× 547 0.3× 396 0.9× 74 0.2× 409 1.4× 144 3.0k
Sanda Maria Creţoiu Romania 30 1.9k 0.8× 972 0.6× 257 0.6× 131 0.3× 412 1.4× 71 3.4k
Anita G. Seto United States 20 3.1k 1.4× 1.7k 1.0× 31 0.1× 187 0.5× 178 0.6× 29 3.8k

Countries citing papers authored by Qinyu Ge

Since Specialization
Citations

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

Fields of papers citing papers by Qinyu Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinyu Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Qinyu Ge. A scholar is included among the top collaborators of Qinyu Ge 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 Qinyu Ge. Qinyu Ge 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.
Ge, Qinyu, et al.. (2025). Enhancing RNA Capture Efficiency in Spatial Transcriptomics: A Review of Innovative Technologies and Strategies. International Journal of Molecular Sciences. 26(22). 11076–11076.
2.
Guo, Yunxia, Ning Chang, Jitao Xu, et al.. (2025). Micro-region transcriptomics profiling of cerebral organoids using a capillary-based microdissection system. Analytical Methods. 17(17). 3480–3489.
3.
Ge, Qinyu, et al.. (2025). Environmental DNA integrity index is sensitive for species biomass estimation in freshwater. The Science of The Total Environment. 966. 178734–178734.
4.
Wang, Wenjia, et al.. (2023). Integration of single‐cell transcriptome and proteome technologies: Toward spatial resolution levels. SHILAP Revista de lepidopterología. 4(5). 11 indexed citations
5.
Wang, Wenjia, et al.. (2023). Enzyme-free isothermal amplification strategy for the detection of tumor-associated biomarkers: A review. TrAC Trends in Analytical Chemistry. 160. 116960–116960. 40 indexed citations
6.
Pan, Min, et al.. (2023). scRNA‐seq data analysis method to improve analysis performance. IET Nanobiotechnology. 17(3). 246–256. 22 indexed citations
7.
Jia, Erteng, Yuqi Sheng, Huajuan Shi, et al.. (2023). Spatial Transcriptome Profiling of Mouse Hippocampal Single Cell Microzone in Parkinson’s Disease. International Journal of Molecular Sciences. 24(3). 1810–1810. 10 indexed citations
8.
Qi, Ting, Min Pan, Huajuan Shi, et al.. (2023). Cell-Free DNA Fragmentomics: The Novel Promising Biomarker. International Journal of Molecular Sciences. 24(2). 1503–1503. 44 indexed citations
9.
Zhang, Wenhao, Guang Mu, Hongchang Wang, et al.. (2023). Extracellular RNA profiles in non-small cell lung cancer plasma. Journal of Thoracic Disease. 15(5). 2742–2753. 2 indexed citations
10.
11.
Chen, Ruipeng, Bing Liu, Haibin Ni, et al.. (2019). Vertical flow assays based on core–shell SERS nanotags for multiplex prostate cancer biomarker detection. The Analyst. 144(13). 4051–4059. 73 indexed citations
12.
Liu, Zhiyu, Erteng Jia, Min Pan, et al.. (2019). Analysis of genome-wide in cell free DNA methylation: progress and prospect. The Analyst. 144(20). 5912–5922. 16 indexed citations
13.
Qian, Zhongqing, Hui Liu, Musheng Li, et al.. (2017). Potential Diagnostic Power of Blood Circular RNA Expression in Active Pulmonary Tuberculosis. EBioMedicine. 27. 18–26. 68 indexed citations
14.
Tian, Fei, Yanting Shen, Zhenzhu Chen, et al.. (2016). Aberrant miR-181b-5p and miR-486-5p expression in serum and tissue of non-small cell lung cancer. Gene. 591(2). 338–343. 62 indexed citations
15.
Wang, Jun, Zhi Li, Qinyu Ge, et al.. (2015). Characterization of microRNA transcriptome in tumor, adjacent, and normal tissues of lung squamous cell carcinoma. Journal of Thoracic and Cardiovascular Surgery. 149(5). 1404–1414.e4. 28 indexed citations
16.
Wu, Qian, Chao Wang, Zuhong Lu, Li Guo, & Qinyu Ge. (2012). Analysis of serum genome-wide microRNAs for breast cancer detection. Clinica Chimica Acta. 413(13-14). 1058–1065. 109 indexed citations
17.
Cheng, Lu, et al.. (2009). Polyacrylamide Gel-based Microarray: A Novel Method Applied to the Association Study Between the Polymorphisms of BDNF Gene and Autism. Journal of Biomedical Nanotechnology. 5(5). 542–550. 11 indexed citations
18.
Zhang, Dingdong, Yan Wang, Yunfei Bai, et al.. (2008). A novel method to quantify local CpG methylation density by regional methylation elongation assay on microarray. BMC Genomics. 9(1). 59–59. 13 indexed citations
19.
Zhang, Dingdong, Yunfei Bai, Yán Wāng, et al.. (2007). Detailed methylation patterns and protein expression profiles of MGMT in colorectal carcinoma surgical margins. Clinical Biochemistry. 41(1-2). 19–25. 4 indexed citations
20.
Liu, Quanjun, et al.. (2005). Detection and analysis system for hybridization images of lab-in-a-tube microarray. Science Bulletin. 50(24). 2896–2900. 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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