Xin Qu

1.5k total citations
39 papers, 983 citations indexed

About

Xin Qu is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Xin Qu has authored 39 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Surgery. Recurrent topics in Xin Qu's work include Pituitary Gland Disorders and Treatments (6 papers), MicroRNA in disease regulation (5 papers) and Pregnancy and preeclampsia studies (4 papers). Xin Qu is often cited by papers focused on Pituitary Gland Disorders and Treatments (6 papers), MicroRNA in disease regulation (5 papers) and Pregnancy and preeclampsia studies (4 papers). Xin Qu collaborates with scholars based in China, United States and Switzerland. Xin Qu's co-authors include Zewei He, Zuozhang Yang, Yihao Yang, Ya Zhang, Chunting Wang, Xiaojuan Li, Guangming Xu, Feng Liu, Lin Xie and Lei Han and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Xin Qu

38 papers receiving 976 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Qu China 19 428 284 231 184 160 39 983
Ümit İnce Türkiye 18 146 0.3× 71 0.3× 244 1.1× 69 0.4× 118 0.7× 78 842
Le‐Ting Zhou China 17 546 1.3× 193 0.7× 85 0.4× 151 0.8× 22 0.1× 36 966
Tianyuan Xu China 22 342 0.8× 208 0.7× 513 2.2× 17 0.1× 81 0.5× 51 1.1k
Konstantinos Savvatis Germany 23 366 0.9× 68 0.2× 231 1.0× 274 1.5× 79 0.5× 31 1.4k
Nobuyuki Hiruta Japan 17 137 0.3× 48 0.2× 328 1.4× 51 0.3× 66 0.4× 88 875
Rosangela Lattanzio Italy 24 256 0.6× 39 0.1× 38 0.2× 119 0.6× 55 0.3× 100 1.9k
Takehiro Sejima Japan 17 246 0.6× 176 0.6× 258 1.1× 26 0.1× 53 0.3× 71 834
Yanyan Wang China 20 446 1.0× 345 1.2× 297 1.3× 69 0.4× 30 0.2× 75 1.5k
Eiji Nomura Japan 29 275 0.6× 75 0.3× 1.0k 4.4× 34 0.2× 28 0.2× 133 2.3k
Elena Tagliabue Italy 19 174 0.4× 144 0.5× 183 0.8× 54 0.3× 85 0.5× 48 866

Countries citing papers authored by Xin Qu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Qu. A scholar is included among the top collaborators of Xin 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 Xin Qu. Xin Qu 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.
Qu, Xin, Yan Feng, Xiaoli Wang, et al.. (2024). sh- Ambra1 inhibits IRS-1/PI3K/Akt signalling pathway to reduce autophagy in gestational diabetes. Endokrynologia Polska. 75(1). 61–70. 2 indexed citations
2.
Qu, Xin, et al.. (2023). Pterostilbene as a Therapeutic Alternative for Central Nervous System Disorders: A Review of the Current Status and Perspectives. Journal of Agricultural and Food Chemistry. 71(40). 14432–14457. 14 indexed citations
3.
Qu, Xin, Xi Lu, Xian Chen, et al.. (2023). Prognostic and metabolic characteristics of a novel cuproptosis-related signature in patients with hepatocellular carcinoma. Heliyon. 10(1). e23686–e23686. 3 indexed citations
4.
Li, Zhenzi, et al.. (2022). G protein-coupled receptor MAS1 induces an inhibitory effect on myocardial infarction-induced myocardial injury. International Journal of Biological Macromolecules. 207. 72–80. 8 indexed citations
5.
Qu, Xin, et al.. (2020). miR-124-3p promotes BMSC osteogenesis via suppressing the GSK-3β/β-catenin signaling pathway in diabetic osteoporosis rats. In Vitro Cellular & Developmental Biology - Animal. 56(9). 723–734. 19 indexed citations
6.
Wen, Xiao‐Yan, et al.. (2020). Tissue Inhibitor of Metalloproteinases-2 Mediates Kidney Injury during Sepsis. ˜The œNephron journals/Nephron journals. 144(12). 644–649. 5 indexed citations
7.
Li, Lian, et al.. (2019). Circulating antibodies against M-type phospholipase A2 receptor and thrombospondin type-1 domain-containing 7A in Chinese patients with membranous nephropathy. International Urology and Nephrology. 51(8). 1371–1377. 11 indexed citations
9.
Yang, Zuozhang, Xiaojuan Li, Yihao Yang, et al.. (2016). Long noncoding RNAs in the progression, metastasis, and prognosis of osteosarcoma. Cell Death and Disease. 7(9). e2389–e2389. 111 indexed citations
10.
Chen, Man, Linlin Zhang, Lin Zhang, et al.. (2016). Ulinastatin attenuates LPS-induced human endothelial cells oxidative damage through suppressing JNK/c-Jun signaling pathway. Biochemical and Biophysical Research Communications. 474(3). 572–578. 37 indexed citations
11.
Zhang, Hong‐Yu, Tianfeng Zhu, Wenwen Liu, et al.. (2015). TIPE2 acts as a negative regulator linking NOD2 and inflammatory responses in myocardial ischemia/reperfusion injury. Journal of Molecular Medicine. 93(9). 1033–1043. 36 indexed citations
12.
Qu, Xin & Li Zhang. (2015). Effect of ABCE1-silencing gene, transfected by electrotransfer, on the proliferation, invasion, and migration of human thyroid carcinoma SW579 cells. Genetics and Molecular Research. 14(4). 14680–14689. 4 indexed citations
13.
Huan, Cheng, et al.. (2014). Retrospective Analysis of Cushing’s Disease with or without Hyperprolactinemia. International Journal of Endocrinology. 2014. 1–8. 4 indexed citations
14.
Qu, Xin, et al.. (2014). Pentraxin 3 as a Prognostic Biomarker in Patients with Systemic Inflammation or Infection. Mediators of Inflammation. 2014. 1–9. 71 indexed citations
15.
Qu, Xin, et al.. (2014). The Roles of CD147 and/or Cyclophilin A in Kidney Diseases. Mediators of Inflammation. 2014. 1–10. 32 indexed citations
16.
Wang, Paulus S., et al.. (2014). Specific reactivation of latent HIV-1 with designer zinc-finger transcription factors targeting the HIV-1 5′-LTR promoter. Gene Therapy. 21(5). 490–495. 23 indexed citations
17.
Wang, Mo, Man Jiang, Li Han, et al.. (2012). The characteristics of acromegalic patients with hyperprolactinemia and the differences in patients with merely GH-secreting adenomas: clinical analysis of 279 cases. European Journal of Endocrinology. 166(5). 797–802. 35 indexed citations
18.
Qu, Xin, Jun Yang, Guodong Wang, et al.. (2011). Transsphenoidal pseudocapsule-based extracapsular resection for pituitary adenomas. Acta Neurochirurgica. 153(4). 799–806. 24 indexed citations
19.
Qu, Xin, et al.. (2010). The pseudocapsule surrounding a pituitary adenoma and its clinical significance. Journal of Neuro-Oncology. 101(2). 171–178. 25 indexed citations
20.
Qu, Xin, Wei� Yang, Tao Han, et al.. (2010). Pneumocephalus after interventional therapy in esophageal cancer. Clinical Neurology and Neurosurgery. 112(8). 707–709. 3 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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