Changqing Su

3.6k total citations · 1 hit paper
104 papers, 2.9k citations indexed

About

Changqing Su is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Changqing Su has authored 104 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 46 papers in Genetics and 35 papers in Oncology. Recurrent topics in Changqing Su's work include Virus-based gene therapy research (41 papers), Cancer Research and Treatments (22 papers) and CAR-T cell therapy research (16 papers). Changqing Su is often cited by papers focused on Virus-based gene therapy research (41 papers), Cancer Research and Treatments (22 papers) and CAR-T cell therapy research (16 papers). Changqing Su collaborates with scholars based in China, United States and Hong Kong. Changqing Su's co-authors include Chunying Liu, Weidan Ji, Bin Sun, Zhangxiao Peng, Mengchao Wu, Xuejing Lin, Yang Xu, Qijun Qian, Quangen Gao and Yan Liu and has published in prestigious journals such as PLoS ONE, Cancer Research and Gut.

In The Last Decade

Changqing Su

102 papers receiving 2.8k citations

Hit Papers

Design strategies and application progress of therapeutic... 2019 2026 2021 2023 2019 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
Changqing Su China 30 2.1k 902 672 625 250 104 2.9k
Chunxiao Zhou United States 31 1.7k 0.8× 860 1.0× 625 0.9× 178 0.3× 93 0.4× 134 2.8k
Liqin Wang China 27 1.7k 0.8× 445 0.5× 473 0.7× 280 0.4× 94 0.4× 90 3.0k
Wei Zhuo China 32 2.5k 1.2× 1.2k 1.3× 794 1.2× 170 0.3× 153 0.6× 87 3.9k
Sun‐Hee Leem South Korea 32 2.1k 1.0× 398 0.4× 394 0.6× 274 0.4× 76 0.3× 126 3.0k
Satyanarayana Rachagani United States 42 2.6k 1.2× 1.0k 1.1× 1.6k 2.3× 244 0.4× 148 0.6× 103 4.1k
Akeila Bellahcène Belgium 37 2.4k 1.2× 851 0.9× 1.7k 2.5× 185 0.3× 136 0.5× 67 4.5k
Abulkalam M. Shamsuddin United States 38 1.8k 0.9× 292 0.3× 563 0.8× 302 0.5× 164 0.7× 75 4.0k
Munna L. Agarwal United States 26 1.7k 0.8× 417 0.5× 1.1k 1.6× 140 0.2× 235 0.9× 38 2.7k

Countries citing papers authored by Changqing Su

Since Specialization
Citations

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

Fields of papers citing papers by Changqing Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changqing Su

This figure shows the co-authorship network connecting the top 25 collaborators of Changqing Su. A scholar is included among the top collaborators of Changqing 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 Changqing Su. Changqing 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.
Fan, Jia, Bing Wang, Tianjiao Zhang, et al.. (2024). The role of OR5, which is highly expressed in the winged grain aphid Sitobion miscanthi, in specific recognition of EBF. Insect Biochemistry and Molecular Biology. 173. 104180–104180. 2 indexed citations
2.
Wang, Han, Gang Xue, Zhao Jiang, et al.. (2021). Key technologies and equipment for contaminated surface/groundwater environment in the rural river network area of China: integrated remediation. Environmental Sciences Europe. 33(1). 17 indexed citations
3.
Zhang, Qin, Hai Huang, Ao Liu, et al.. (2019). Cell division cycle 20 (CDC20) drives prostate cancer progression via stabilization of β-catenin in cancer stem-like cells. EBioMedicine. 42. 397–407. 69 indexed citations
4.
Li, Xiaoya, Yinghan Su, Bin Sun, et al.. (2016). An Artificially Designed Interfering lncRNA Expressed by Oncolytic Adenovirus Competitively Consumes OncomiRs to Exert Antitumor Efficacy in Hepatocellular Carcinoma. Molecular Cancer Therapeutics. 15(7). 1436–1451. 40 indexed citations
5.
Liu, Yan, Yang Xu, Weidan Ji, et al.. (2015). Matrine derivative WM130 inhibits hepatocellular carcinoma by suppressing EGFR/ERK/MMP-2 and PTEN/AKT signaling pathways. Cancer Letters. 368(1). 126–134. 54 indexed citations
6.
Guo, Lingli, et al.. (2014). A Highly Infectious Chimeric Adenovirus Expressing Basic Fibroblast Growth Factor Exerts Potent Targeted Therapy for Rabbit Ear Chronic Ischemic Wounds. Plastic & Reconstructive Surgery. 134(2). 248e–256e. 5 indexed citations
7.
Xu, Can, Haihang Li, Changqing Su, & Zhao‐Shen Li. (2013). Viral therapy for pancreatic cancer: Tackle the bad guys with poison. Cancer Letters. 333(1). 1–8. 11 indexed citations
9.
Liu, Junjie, Lin Fang, Qian Cheng, et al.. (2012). Effects of G250 promoter controlled conditionally replicative adenovirus expressing Ki67‐siRNA on renal cancer cell. Cancer Science. 103(10). 1880–1888. 16 indexed citations
11.
Li, Chunguang, Zhigang Li, Tiejun Zhao, et al.. (2012). Clinicopathological and Prognostic Significance of Survivin Over-Expression in Patients with Esophageal Squamous Cell Carcinoma: A Meta-Analysis. PLoS ONE. 7(9). e44764–e44764. 28 indexed citations
12.
Li, Chun Guang, Yan Yan, Weidan Ji, et al.. (2012). OCT4 Positively Regulates Survivin Expression to Promote Cancer Cell Proliferation and Leads to Poor Prognosis in Esophageal Squamous Cell Carcinoma. PLoS ONE. 7(11). e49693–e49693. 65 indexed citations
13.
Liu, Chen, Bin Sun, Weifeng Tan, et al.. (2011). Inhibitory effect of Survivin promoter‐regulated oncolytic adenovirus carrying P53 gene against gallbladder cancer. Molecular Oncology. 5(6). 545–554. 29 indexed citations
14.
He, Xiaoping, Takayo Ota, Peng Liu, et al.. (2010). Downregulation of HtrA1 Promotes Resistance to Anoikis and Peritoneal Dissemination of Ovarian Cancer Cells. Cancer Research. 70(8). 3109–3118. 69 indexed citations
15.
Chen, Jian, et al.. (2009). [Construction of a RU486 inducible recombinant adenoviral vector carrying murine interleukin-12 gene and experimental treatment of colonic carcinoma].. PubMed. 89(20). 1372–6. 1 indexed citations
16.
Guo, Minggao, Bin Kang, Qi Zheng, et al.. (2009). An anti-preS2 antibody protects human hepatocytes from hepatitis B virus infection.. PubMed. 72(3). 306–11. 2 indexed citations
17.
Fang, Lin, Yao Huang, Lijun Sun, et al.. (2009). A truncated minimal-E1a gene with potency to support adenoviral replication mediates antitumor activity by down-regulating Neu expression and preserving Rb function. Chemico-Biological Interactions. 181(1). 1–7. 7 indexed citations
18.
Ma, Jin, Xiaoping He, Wenxiang Wang, et al.. (2008). E2F Promoter-Regulated Oncolytic Adenovirus with p16 Gene Induces Cell Apoptosis and Exerts Antitumor Effect on Gastric Cancer. Digestive Diseases and Sciences. 54(7). 1425–1431. 17 indexed citations
19.
Jiang, Minghong, Wenfang Shi, Qi Zhang, et al.. (2006). Gene Therapy Using Adenovirus-Mediated Full-length Anti-HER-2 Antibody for HER-2 Overexpression Cancers. Clinical Cancer Research. 12(20). 6179–6185. 42 indexed citations
20.
Su, Changqing, et al.. (2006). Preparation of gene-viral therapeutic system CNHK200-hA and its antitumor activity on lung cancer. Chinese Journal of Cancer Research. 18(1). 1–7.

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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