Su Qu

1.6k total citations
38 papers, 1.2k citations indexed

About

Su Qu is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Su Qu has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Oncology. Recurrent topics in Su Qu's work include Prostate Cancer Treatment and Research (5 papers), Pluripotent Stem Cells Research (4 papers) and Antifungal resistance and susceptibility (4 papers). Su Qu is often cited by papers focused on Prostate Cancer Treatment and Research (5 papers), Pluripotent Stem Cells Research (4 papers) and Antifungal resistance and susceptibility (4 papers). Su Qu collaborates with scholars based in China, Norway and United States. Su Qu's co-authors include Fahri Saatcioglu, Jun Tian, Lei Chen, Yang Jin, Gunhild M. Mælandsmo, Leonardo A. Meza‐Zepeda, Kunlong Yang, Yong‐Xin Li, Håvard E. Danielsen and Ladan Fazli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Su Qu

38 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Su Qu China	21	564	207	176	160	148	38	1.2k
Rizwan Ahmad United States	19	892 1.6×	241 1.2×	92 0.5×	150 0.9×	230 1.6×	45	1.6k
Fangfang Liu China	19	841 1.5×	144 0.7×	121 0.7×	82 0.5×	147 1.0×	92	1.6k
Qian Huang China	22	745 1.3×	110 0.5×	224 1.3×	52 0.3×	205 1.4×	76	1.5k
Xiaoman Li China	19	775 1.4×	191 0.9×	103 0.6×	140 0.9×	315 2.1×	70	1.6k
Shan Ren China	20	810 1.4×	232 1.1×	53 0.3×	132 0.8×	301 2.0×	51	1.6k
Tomoya Takahashi Japan	26	616 1.1×	128 0.6×	179 1.0×	43 0.3×	167 1.1×	82	1.7k
Li He China	28	839 1.5×	95 0.5×	301 1.7×	68 0.4×	174 1.2×	132	2.2k
Ze Liu China	24	1.0k 1.8×	276 1.3×	142 0.8×	103 0.6×	283 1.9×	98	1.9k
Pasquale Pierimarchi Italy	25	668 1.2×	221 1.1×	169 1.0×	48 0.3×	91 0.6×	57	1.6k
Csaba Vízler Hungary	25	669 1.2×	223 1.1×	83 0.5×	74 0.5×	174 1.2×	69	1.6k

Countries citing papers authored by Su Qu

Since Specialization

Citations

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

Fields of papers citing papers by Su Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Su Qu. A scholar is included among the top collaborators of Su Qu 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 Su Qu. Su Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Lei, Wei‐jie Guan, Jing Sun, et al.. (2022). SARS-CoV-2 nucleocapsid protein triggers hyperinflammation via protein-protein interaction-mediated intracellular Cl− accumulation in respiratory epithelium. Signal Transduction and Targeted Therapy. 7(1). 255–255. 34 indexed citations

Chen, Lei, Su Qu, Kunlong Yang, et al.. (2020). Perillaldehyde: A promising antifungal agent to treat oropharyngeal candidiasis. Biochemical Pharmacology. 180. 114201–114201. 35 indexed citations

Qu, Su, Kunlong Yang, Lei Chen, et al.. (2019). Cinnamaldehyde, a Promising Natural Preservative Against Aspergillus flavus. Frontiers in Microbiology. 10. 2895–2895. 81 indexed citations

Yan, Lingzhi, Zhi Yan, Jingjing Shang, et al.. (2019). Sequential CD19- and Bcma-Specific Chimeric Antigen Receptor T Cell Treatment for RRMM: Report from a Single Center Study. Blood. 134(Supplement_1). 578–578. 16 indexed citations

Qu, Su, Lei Chen, Hui Tian, et al.. (2019). Effect of Perillaldehyde on Prophylaxis and Treatment of Vaginal Candidiasis in a Murine Model. Frontiers in Microbiology. 10. 1466–1466. 29 indexed citations

Sheng, Xia, Hatice Zeynep Nenseth, Su Qu, et al.. (2019). IRE1α-XBP1s pathway promotes prostate cancer by activating c-MYC signaling. Nature Communications. 10(1). 323–323. 178 indexed citations

Qu, Su, Yan Liang, Bo Fang, et al.. (2017). Generation of enhanced definitive endoderm from human embryonic stem cells under an albumin/insulin-free and chemically defined condition. Life Sciences. 175. 37–46. 5 indexed citations

Yang, Rong, et al.. (2017). Long noncoding RNA H19 regulates survivin expression in bladder cancer as sponge of miR-138-5p. European Urology Supplements. 16(3). e1464–e1465. 1 indexed citations

Tian, Hui, Su Qu, Yanzhen Wang, et al.. (2017). Calcium and oxidative stress mediate perillaldehyde-induced apoptosis in Candida albicans. Applied Microbiology and Biotechnology. 101(8). 3335–3345. 55 indexed citations

10.

Jin, Yang, Ling Wang, Su Qu, et al.. (2015). STAMP 2 increases oxidative stress and is critical for prostate cancer. EMBO Molecular Medicine. 7(3). 315–331. 49 indexed citations

11.

Kaarbø, Mari, Margrethe Larsdatter Storm, Su Qu, et al.. (2013). TCTP Is an Androgen-Regulated Gene Implicated in Prostate Cancer. PLoS ONE. 8(7). e69398–e69398. 24 indexed citations

12.

Gong, Chang, Su Qu, Bodu Liu, et al.. (2013). MiR-106b expression determines the proliferation paradox of TGF-β in breast cancer cells. Oncogene. 34(1). 84–93. 52 indexed citations

13.

Qu, Su, et al.. (2013). Rapid Gene Expression Changes in Peripheral Blood Lymphocytes upon Practice of a Comprehensive Yoga Program. PLoS ONE. 8(4). e61910–e61910. 75 indexed citations

14.

Ye, Shoudong, Li Tan, Rongqing Yang, et al.. (2012). Pleiotropy of Glycogen Synthase Kinase-3 Inhibition by CHIR99021 Promotes Self-Renewal of Embryonic Stem Cells from Refractory Mouse Strains. PLoS ONE. 7(4). e35892–e35892. 70 indexed citations

15.

Wang, Ling, Yang Jin, Yke Jildouw Arnoldussen, et al.. (2010). STAMP1 Is Both a Proliferative and an Antiapoptotic Factor in Prostate Cancer. Cancer Research. 70(14). 5818–5828. 46 indexed citations

16.

Zhao, Yanfeng, Su Qu, Xinwen Zhou, et al.. (2010). Proteomic analysis of primary duck hepatocytes infected with duck hepatitis B virus. Proteome Science. 8(1). 28–28. 12 indexed citations

17.

Jin, Yang, et al.. (2010). STAMPs at the Crossroads of Cancer and Nutrition. Nutrition and Cancer. 62(7). 891–895. 8 indexed citations

18.

Kaarbø, Mari, Øyvind Mikkelsen, Lene Malerød, et al.. (2010). PI3K-AKT-mTOR pathway is dominant over androgen receptor signaling in prostate cancer cells.. SHILAP Revista de lepidopterología. 32(1-2). 11–27. 57 indexed citations

19.

Zhou, Ming‐Ming, Ping Li, Li Tan, et al.. (2009). Differentiation of mouse embryonic stem cells into hepatocytes induced by a combination of cytokines and sodium butyrate. Journal of Cellular Biochemistry. 109(3). 606–614. 23 indexed citations

20.

Han, Cong, Tiancen Hu, Dalei Wu, et al.. (2009). X‐ray crystallographic and enzymatic analyses of shikimate dehydrogenase from Staphylococcus epidermidis. FEBS Journal. 276(4). 1125–1139. 13 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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