Jinquan Cui

699 total citations
36 papers, 531 citations indexed

About

Jinquan Cui is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jinquan Cui has authored 36 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Jinquan Cui's work include Receptor Mechanisms and Signaling (11 papers), Pharmacological Receptor Mechanisms and Effects (9 papers) and Prenatal Screening and Diagnostics (6 papers). Jinquan Cui is often cited by papers focused on Receptor Mechanisms and Signaling (11 papers), Pharmacological Receptor Mechanisms and Effects (9 papers) and Prenatal Screening and Diagnostics (6 papers). Jinquan Cui collaborates with scholars based in China, United States and Australia. Jinquan Cui's co-authors include Zhude Tu, Robert H. Mach, Jinbin Xu, Prashanth K. Padakanti, Robert R. Luedtke, Michelle Taylor, Bo Yuan, Shihong Li, Joel S. Perlmutter and Stanley M. Parsons and has published in prestigious journals such as NeuroImage, Biochemical and Biophysical Research Communications and Journal of Medicinal Chemistry.

In The Last Decade

Jinquan Cui

36 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinquan Cui China 15 338 135 77 63 56 36 531
Ulla Näpänkangas Sweden 8 290 0.9× 64 0.5× 34 0.4× 74 1.2× 45 0.8× 11 451
Jennifer S. Waby United Kingdom 10 318 0.9× 39 0.3× 30 0.4× 42 0.7× 52 0.9× 12 500
Marija Dulović Serbia 13 176 0.5× 63 0.5× 83 1.1× 63 1.0× 88 1.6× 13 462
Maurice Israël France 13 320 0.9× 128 0.9× 13 0.2× 68 1.1× 48 0.9× 27 587
Emmanouil Zacharioudakis United States 8 355 1.1× 72 0.5× 47 0.6× 26 0.4× 32 0.6× 14 510
Jean-Marc Soleilhac France 15 341 1.0× 212 1.6× 43 0.6× 153 2.4× 30 0.5× 22 633
Kazuya Honbou Japan 9 186 0.6× 64 0.5× 71 0.9× 34 0.5× 118 2.1× 11 395
Takeshi Matsugi Japan 14 170 0.5× 50 0.4× 64 0.8× 29 0.5× 22 0.4× 25 685
Graham E. Jones United Kingdom 15 418 1.2× 188 1.4× 221 2.9× 80 1.3× 20 0.4× 21 700
Stephen W. Young United States 11 297 0.9× 107 0.8× 40 0.5× 33 0.5× 36 0.6× 27 486

Countries citing papers authored by Jinquan Cui

Since Specialization
Citations

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

Fields of papers citing papers by Jinquan Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinquan Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Jinquan Cui. A scholar is included among the top collaborators of Jinquan Cui 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 Jinquan Cui. Jinquan Cui 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.
Xu, Zhen, et al.. (2024). HECW1 restrains cervical cancer cell growth by promoting DVL1 ubiquitination and downregulating the activation of Wnt/β-catenin signaling. Experimental Cell Research. 435(2). 113949–113949. 6 indexed citations
2.
Li, Yan, et al.. (2023). Interference with XPO1 Suppresses the Stemness and Radioresistance of CD44 Positive Cervical Cancer Cells via Binding with Rad21.. PubMed. 53(2). 278–292. 1 indexed citations
3.
4.
Liu, Yajun, et al.. (2021). Gene expression pattern of trophoblast-specific transcription factors in trophectoderm by analysis of single-cell RNA-seq data of human blastocyst. Functional & Integrative Genomics. 21(2). 205–214. 2 indexed citations
5.
Liu, Yajun, et al.. (2020). Recognized trophoblast-like cells conversion from human embryonic stem cells by BMP4 based on convolutional neural network. Reproductive Toxicology. 99. 39–47. 4 indexed citations
6.
Li, Yuankun, et al.. (2018). Characterizing the landscape of peritoneal exosomal microRNAs in patients with ovarian cancer by high‑throughput sequencing. Oncology Letters. 17(1). 539–547. 14 indexed citations
7.
Hu, Bin, et al.. (2017). Significance of heparanase in metastatic lymph nodes of cervical squamous cell cancer. Oncology Letters. 13(5). 3219–3224. 3 indexed citations
8.
Xie, Juanke, Jinquan Cui, Duo Wei, et al.. (2017). Promoter methylation of yes-associated protein (YAP1) gene in polycystic ovary syndrome. Medicine. 96(2). e5768–e5768. 44 indexed citations
9.
Yuan, Bo, et al.. (2016). Gα12/13 signaling promotes cervical cancer invasion through the RhoA/ROCK-JNK signaling axis. Biochemical and Biophysical Research Communications. 473(4). 1240–1246. 25 indexed citations
10.
Lu, Xiaoqin, et al.. (2016). Human wings apart-like gene is specifically overexpressed in cervical cancer. Oncology Letters. 12(1). 171–176. 2 indexed citations
11.
Hu, Bing, et al.. (2015). [Effect of 1,3-O,N spiroheterocyclic inhibitors of heparanase on the growth of HeLa cells].. PubMed. 50(7). 529–36. 1 indexed citations
12.
13.
Padakanti, Prashanth K., Xiang Zhang, Hongjun Jin, et al.. (2014). In Vitro and In Vivo Characterization of Two C-11-Labeled PET Tracers for Vesicular Acetylcholine Transporter. Molecular Imaging and Biology. 16(6). 773–780. 10 indexed citations
14.
Xu, Jinbin, Suwanna Vangveravong, Shihong Li, et al.. (2013). Positron emission tomography imaging of dopamine D2 receptors using a highly selective radiolabeled D2 receptor partial agonist. NeuroImage. 71. 168–174. 9 indexed citations
15.
Tu, Zhude, Wei Wang, Jinquan Cui, et al.. (2012). Synthesis and evaluation of in vitro bioactivity for vesicular acetylcholine transporter inhibitors containing two carbonyl groups. Bioorganic & Medicinal Chemistry. 20(14). 4422–4429. 17 indexed citations
16.
Banister, Samuel D., et al.. (2012). Exploration of ring size in a series of cyclic vicinal diamines with σ1 receptor affinity. Bioorganic & Medicinal Chemistry Letters. 22(17). 5493–5497. 12 indexed citations
17.
Vangveravong, Suwanna, Zhanbin Zhang, Michelle Taylor, et al.. (2011). Synthesis and characterization of selective dopamine D2 receptor ligands using aripiprazole as the lead compound. Bioorganic & Medicinal Chemistry. 19(11). 3502–3511. 43 indexed citations
18.
Tu, Zhude, Jinda Fan, Shihong Li, et al.. (2011). Radiosynthesis and in vivo evaluation of [11C]MP-10 as a PET probe for imaging PDE10A in rodent and non-human primate brain. Bioorganic & Medicinal Chemistry. 19(5). 1666–1673. 47 indexed citations
19.
Vangveravong, Suwanna, Michelle Taylor, Jinbin Xu, et al.. (2010). Synthesis and characterization of selective dopamine D2 receptor antagonists. 2. Azaindole, benzofuran, and benzothiophene analogs of L-741,626. Bioorganic & Medicinal Chemistry. 18(14). 5291–5300. 21 indexed citations
20.
Cui, Jinquan, et al.. (2004). The changes of gene expression profiles in hydatidiform mole and choriocarcinoma with hyperplasia of trophoblasts. International Journal of Gynecological Cancer. 14(5). 984–997. 5 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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