Zhenqiang Su

8.6k total citations
47 papers, 1.5k citations indexed

About

Zhenqiang Su is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Zhenqiang Su has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Zhenqiang Su's work include Molecular Biology Techniques and Applications (10 papers), Gene expression and cancer classification (8 papers) and Cancer Genomics and Diagnostics (6 papers). Zhenqiang Su is often cited by papers focused on Molecular Biology Techniques and Applications (10 papers), Gene expression and cancer classification (8 papers) and Cancer Genomics and Diagnostics (6 papers). Zhenqiang Su collaborates with scholars based in United States, China and United Kingdom. Zhenqiang Su's co-authors include Weida Tong, Huixiao Hong, Roger Perkins, Hong Fang, Leming Shi, Weigong Ge, Huaping Liu, Leming Shi, Baitang Ning and James C. Fuscoe and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Zhenqiang Su

46 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenqiang Su United States 21 817 259 244 202 131 47 1.5k
Xiaogang Wu United States 22 874 1.1× 216 0.8× 284 1.2× 56 0.3× 96 0.7× 98 1.7k
Javier Garcı́a-Garcı́a Spain 18 1.7k 2.1× 449 1.7× 275 1.1× 256 1.3× 27 0.2× 46 2.6k
Ranadip Pal United States 25 1.5k 1.9× 509 2.0× 90 0.4× 267 1.3× 63 0.5× 98 2.2k
Jing Tang China 23 1.7k 2.0× 474 1.8× 258 1.1× 80 0.4× 78 0.6× 79 2.6k
Amitabh Sharma United States 22 1.9k 2.4× 546 2.1× 185 0.8× 300 1.5× 31 0.2× 38 3.0k
Kaiyan Feng China 30 2.2k 2.7× 586 2.3× 201 0.8× 101 0.5× 25 0.2× 120 2.8k
Hiroyuki Kurata Japan 31 2.2k 2.7× 166 0.6× 88 0.4× 192 1.0× 103 0.8× 163 3.0k
Aman Chandra Kaushik China 25 923 1.1× 411 1.6× 122 0.5× 51 0.3× 25 0.2× 94 1.7k
Shu‐Yu Lin Taiwan 25 1.4k 1.7× 68 0.3× 292 1.2× 121 0.6× 44 0.3× 94 2.6k
Khalid Raza India 23 558 0.7× 352 1.4× 67 0.3× 51 0.3× 56 0.4× 107 1.5k

Countries citing papers authored by Zhenqiang Su

Since Specialization
Citations

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

Fields of papers citing papers by Zhenqiang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenqiang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenqiang Su. A scholar is included among the top collaborators of Zhenqiang Su 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 Zhenqiang Su. Zhenqiang Su 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.
Merberg, David, Rodney J. Moreland, Zhenqiang Su, et al.. (2024). Combined miRNA transcriptome and proteome analysis of extracellular vesicles in urine and blood from the Pompe mouse model. Annals of Medicine. 56(1). 2402503–2402503. 3 indexed citations
2.
Han, Sileny, Amit M. Oza, Nicoletta Colombo, et al.. (2023). A randomized phase 2 study of sapanisertib in combination with paclitaxel versus paclitaxel alone in women with advanced, recurrent, or persistent endometrial cancer. Gynecologic Oncology. 178. 110–118. 7 indexed citations
3.
Zhao, Xi, et al.. (2019). Building hierarchical structures for 3D scenes with repeated elements. The Visual Computer. 36(2). 361–374. 2 indexed citations
4.
Espelund, Ulrick, Andrew G. Renehan, Søren Cold, et al.. (2018). Prognostic relevance and performance characteristics of serum IGFBP‐2 and PAPP‐A in women with breast cancer: a long‐term Danish cohort study. Cancer Medicine. 7(6). 2391–2404. 10 indexed citations
5.
Ng, Hui Wen, Mao Shu, Heng Luo, et al.. (2015). Comparing genetic variants detected in the 1000 genomes project with SNPs determined by the International HapMap Consortium. Journal of Genetics. 94(4). 731–740. 12 indexed citations
6.
Gong, Binsheng, Charles Wang, Zhenqiang Su, et al.. (2014). Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq. Scientific Data. 1(1). 140021–140021. 21 indexed citations
7.
Yu, Ying, Chen Zhao, Zhenqiang Su, et al.. (2014). Comprehensive RNA-Seq transcriptomic profiling across 11 organs, 4 ages, and 2 sexes of Fischer 344 rats. Scientific Data. 1(1). 140013–140013. 19 indexed citations
8.
Ning, Baitang, Zhenqiang Su, Nan Mei, et al.. (2014). Toxicogenomics and Cancer Susceptibility: Advances with Next-Generation Sequencing. Journal of Environmental Science and Health Part C. 32(2). 121–158. 24 indexed citations
9.
Shen, Jie, Lei Xu, Hong Fang, et al.. (2013). EADB: An Estrogenic Activity Database for Assessing Potential Endocrine Activity. Toxicological Sciences. 135(2). 277–291. 56 indexed citations
10.
Guo, Yongli, Leming Shi, Huixiao Hong, et al.. (2013). Studies on abacavir-induced hypersensitivity reaction: a successful example of translation of pharmacogenetics to personalized medicine. Science China Life Sciences. 56(2). 119–124. 21 indexed citations
11.
Hong, Huixiao, J. Shen, Zhenqiang Su, et al.. (2013). Critical role of bioinformatics in translating huge amounts of next-generation sequencing data into personalized medicine. Science China Life Sciences. 56(2). 110–118. 23 indexed citations
12.
Yang, Xi, James Greenhaw, Qiang Shi, et al.. (2011). Identification of Urinary microRNA Profiles in Rats That May Diagnose Hepatotoxicity. Toxicological Sciences. 125(2). 335–344. 61 indexed citations
13.
Wen, Zhining, Charles Wang, Quan Shi, et al.. (2010). Evaluation of gene expression data generated from expired Affymetrix GeneChip® microarrays using MAQC reference RNA samples. BMC Bioinformatics. 11(S6). S10–S10. 20 indexed citations
14.
Hong, Huixiao, Zhenqiang Su, Weigong Ge, et al.. (2010). Evaluating variations of genotype calling: a potential source of spurious associations in genome-wide association studies. Journal of Genetics. 89(1). 55–64. 9 indexed citations
15.
Fang, Hong, Joshua Xu, Don Ding, et al.. (2010). An FDA bioinformatics tool for microbial genomics research on molecular characterization of bacterial foodborne pathogens using microarrays. BMC Bioinformatics. 11(S6). S4–S4. 39 indexed citations
16.
Hong, Huixiao, Roger Perkins, Leming Shi, et al.. (2009). The Accurate Prediction of Protein Family from Amino Acid Sequence by Measuring Features of Sequence Fragments. Journal of Computational Biology. 16(12). 1671–1688. 11 indexed citations
17.
Hong, Huixiao, Zhenqiang Su, Weigong Ge, et al.. (2008). Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270 HapMap samples. BMC Bioinformatics. 9(S9). S17–S17. 61 indexed citations
18.
Su, Zhenqiang, Huixiao Hong, Roger Perkins, et al.. (2007). Consensus analysis of multiple classifiers using non-repetitive variables: Diagnostic application to microarray gene expression data. Computational Biology and Chemistry. 31(1). 48–56. 15 indexed citations
19.
Su, Zhenqiang, Weida Tong, Leming Shi, Xueguang Shao, & Wensheng Cai. (2006). A Partial Least Squares‐Based Consensus Regression Method for the Analysis of Near‐Infrared Complex Spectral Data of Plant Samples. Analytical Letters. 39(9). 2073–2083. 24 indexed citations
20.
Shi, Leming, Weida Tong, Hong Fang, et al.. (2005). Cross-platform comparability of microarray technology: Intra-platform consistency and appropriate data analysis procedures are essential. BMC Bioinformatics. 6(S2). S12–S12. 147 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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