Ming-quan Su

402 total citations
23 papers, 319 citations indexed

About

Ming-quan Su is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Ming-quan Su has authored 23 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Epidemiology and 7 papers in Immunology. Recurrent topics in Ming-quan Su's work include RNA Interference and Gene Delivery (5 papers), Tuberculosis Research and Epidemiology (4 papers) and Mycobacterium research and diagnosis (4 papers). Ming-quan Su is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Tuberculosis Research and Epidemiology (4 papers) and Mycobacterium research and diagnosis (4 papers). Ming-quan Su collaborates with scholars based in China and United Kingdom. Ming-quan Su's co-authors include Xiaoke Hao, Yueyun Ma, Yanjun Diao, Jiayun Liu, Lin Lei, Yun Ye, Zhuo Li, Weixiao Fan, Yi Xu and Juan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncotarget and International Journal of Antimicrobial Agents.

In The Last Decade

Ming-quan Su

22 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-quan Su China 9 189 98 72 48 47 23 319
Julien Fernandes France 10 140 0.7× 66 0.7× 65 0.9× 39 0.8× 64 1.4× 18 376
Samuel H. Whiting United States 12 176 0.9× 73 0.7× 203 2.8× 79 1.6× 41 0.9× 18 435
Diana Lim Singapore 10 182 1.0× 57 0.6× 72 1.0× 52 1.1× 85 1.8× 19 331
Alison Taylor United Kingdom 3 316 1.7× 68 0.7× 196 2.7× 68 1.4× 45 1.0× 6 543
Abby M. Green United States 10 225 1.2× 61 0.6× 121 1.7× 56 1.2× 67 1.4× 23 368
Hanrui Wu South Africa 3 328 1.7× 73 0.7× 204 2.8× 67 1.4× 46 1.0× 5 539
Meiying Shen China 11 187 1.0× 126 1.3× 147 2.0× 90 1.9× 35 0.7× 42 413
Jorge Luis Galeano Niño Australia 6 347 1.8× 72 0.7× 211 2.9× 86 1.8× 46 1.0× 8 583
Xiaoting Shi China 6 180 1.0× 71 0.7× 67 0.9× 17 0.4× 22 0.5× 8 360
Marta Baro United States 11 218 1.2× 63 0.6× 130 1.8× 163 3.4× 34 0.7× 19 418

Countries citing papers authored by Ming-quan Su

Since Specialization
Citations

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

Fields of papers citing papers by Ming-quan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-quan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-quan Su. A scholar is included among the top collaborators of Ming-quan 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 Ming-quan Su. Ming-quan 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.
Xin, Yijuan, Liu Yang, Ming-quan Su, et al.. (2021). PARP1 rs1136410 Val762Ala contributes to an increased risk of overall cancer in the East Asian population: a meta-analysis. Journal of International Medical Research. 49(3). 1221792508–1221792508. 3 indexed citations
2.
Li, Yanhua, Jianbing Ding, Wenfang He, et al.. (2017). 16S rDNA sequencing analysis of upper respiratory tract flora in patients with influenza H1N1 virus infection. SHILAP Revista de lepidopterología. 1(1). 16–26. 8 indexed citations
3.
Ye, Yun, Yueyun Ma, Yanjun Diao, et al.. (2017). Exosomal miR-141-3p regulates osteoblast activity to promote the osteoblastic metastasis of prostate cancer. Oncotarget. 8(55). 94834–94849. 123 indexed citations
4.
Diao, Yanjun, Jiayun Liu, Yueyun Ma, et al.. (2016). A specific aptamer-cell penetrating peptides complex delivered siRNA efficiently and suppressed prostate tumor growthin vivo. Cancer Biology & Therapy. 17(5). 498–506. 21 indexed citations
5.
Lǐ, Yànhuá, Yunfeng Xiao, Ming-quan Su, et al.. (2015). Role of soluble programmed death-1 (sPD-1) and sPD-ligand 1 in patients with cystic echinococcosis. Experimental and Therapeutic Medicine. 11(1). 251–256. 51 indexed citations
6.
Zhou, Lei, Yang Liu, Xianfei Zeng, et al.. (2015). Transcriptional and proteomic analyses of two-component response regulators in multidrug-resistant Mycobacterium tuberculosis. International Journal of Antimicrobial Agents. 46(1). 73–81. 13 indexed citations
7.
Luo, Xiaomei, Jiayun Liu, Ming-quan Su, & Xiaoke Hao. (2012). [Transcriptional activities of tumor-specific survivin promoter and PSMA promoter and enhancer in human prostate cancer: evaluation and comparison].. PubMed. 18(2). 122–5. 1 indexed citations
8.
Liu, Yang, Ming-quan Su, Yueyun Ma, & Xiaoke Hao. (2011). Novel Immunohistochemical Monoclonal Antibody Against Human Glucose-Regulated Protein 78. Hybridoma. 30(6). 559–562. 1 indexed citations
9.
Cheng, Xiaodong, Quan Yuan, Qingbing Zheng, et al.. (2010). Evaluation of a new rapid influenza A diagnostic test for detection of pandemic (H1N1) 2009 and seasonal influenza A virus. Journal of Clinical Virology. 50(2). 153–155. 8 indexed citations
10.
Shen, Jianjun, Jiayun Liu, Ming-quan Su, et al.. (2009). Knockdown of survivin expression by siRNAs enhances chemosensitivity of prostate cancer cells and attenuates its tumorigenicity. Acta Biochimica et Biophysica Sinica. 41(3). 223–230. 29 indexed citations
11.
Su, Ming-quan, et al.. (2008). Immunological properties of Rv1009 domain from Mycobacterium tuberculosis. Zhonghua jianyan yixue zazhi. 31(11). 1282–1286. 1 indexed citations
12.
Cheng, Xiaodong, Yang Liu, Xiuli Xu, et al.. (2007). A new Multi-PCR-SSCP assay for simultaneous detection of isoniazid and rifampin resistance in Mycobacterium tuberculosis. Journal of Microbiological Methods. 70(2). 301–305. 19 indexed citations
13.
Hu, Xingbin, Xueqing Xu, Sanhua Wei, et al.. (2007). Immune responses to recombinant Mycobacterium smegmatis expressing fused core protein and preS1 peptide of hepatitis B virus in mice. Journal of Virological Methods. 141(1). 41–48. 9 indexed citations
14.
Luo, Xiaomei, Jiayun Liu, Ming-quan Su, & Xiaoke Hao. (2007). [Detection of transcriptional activities of tumor-specific survivin promoter in human prostatic carcinoma].. PubMed. 13(6). 502–6. 2 indexed citations
15.
Su, Ming-quan. (2007). Study on the affinity of peptides K237 with human prostate cancer cell line LNcap. 1 indexed citations
16.
Zhang, Qing, Sihe Zhang, Ming-quan Su, et al.. (2006). Guided selection of an anti-gamma-seminoprotein human Fab for antibody directed enzyme prodrug therapy of prostate cancer. Cancer Immunology Immunotherapy. 56(4). 477–489. 8 indexed citations
17.
Shen, Jianjun, et al.. (2006). [Inhibition of survivin gene expression in PC-3 cells by RNAi].. PubMed. 12(10). 890–5. 2 indexed citations
18.
Xu, Yan, et al.. (2005). [Study on the nucleic acid of E. coli bacteriophage with broad host range and its sterilization effect to sewage samples from the environment].. PubMed. 26(5). 356–60. 2 indexed citations
19.
Su, Ming-quan. (2004). Drug resistant characterization analysis of clinical isolated mycobacterium tuberculosis. 1 indexed citations
20.
Su, Ming-quan, et al.. (1990). Characterization of phage φL7 and transfection of Xanthomonas campestris pv. campestris by the phage DNA.. Zhōngyāng yánjiūyuàn zhíwùxué huikān/Zhōngyāng yánjiūyuàn zhíwùxué huikān. 31(3). 197–203. 7 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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