Congya Zhou

453 total citations
22 papers, 356 citations indexed

About

Congya Zhou is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Congya Zhou has authored 22 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Congya Zhou's work include RNA modifications and cancer (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Cancer-related molecular mechanisms research (4 papers). Congya Zhou is often cited by papers focused on RNA modifications and cancer (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Cancer-related molecular mechanisms research (4 papers). Congya Zhou collaborates with scholars based in China and United States. Congya Zhou's co-authors include Qing Zhu, Suxia Han, Mengjiao Cai, Jinlu Ma, Xin Sui, Chenchen He, Yiping Dong, Lijuan Wang, Hao Wang and Lei Wu and has published in prestigious journals such as Medicine, Clinica Chimica Acta and Cell Death and Disease.

In The Last Decade

Congya Zhou

21 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Congya Zhou China 10 199 141 106 74 45 22 356
Han Liu China 14 182 0.9× 93 0.7× 92 0.9× 87 1.2× 56 1.2× 38 409
Laura Pietrovito Italy 9 206 1.0× 172 1.2× 94 0.9× 34 0.5× 65 1.4× 13 361
Xin Sui China 14 360 1.8× 265 1.9× 110 1.0× 118 1.6× 50 1.1× 27 544
Xiaohong Du China 12 237 1.2× 166 1.2× 58 0.5× 48 0.6× 49 1.1× 19 374
Giulia Biondani Italy 9 283 1.4× 182 1.3× 171 1.6× 39 0.5× 24 0.5× 9 461
Mesquita Rodrigues Portugal 6 251 1.3× 194 1.4× 115 1.1× 32 0.4× 35 0.8× 7 385
Chunguang Guo China 12 141 0.7× 102 0.7× 170 1.6× 60 0.8× 58 1.3× 25 345
Xianju Qin China 12 260 1.3× 163 1.2× 70 0.7× 48 0.6× 39 0.9× 21 401
Dalong Cao China 8 221 1.1× 148 1.0× 68 0.6× 40 0.5× 116 2.6× 18 361
Kelli Gaskins United States 8 206 1.0× 100 0.7× 106 1.0× 56 0.8× 25 0.6× 9 340

Countries citing papers authored by Congya Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Congya Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congya Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Congya Zhou. A scholar is included among the top collaborators of Congya Zhou 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 Congya Zhou. Congya Zhou 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.
Xiong, Qunli, et al.. (2024). FUBP1 in human cancer: Characteristics, functions, and potential applications. Translational Oncology. 48. 102066–102066. 4 indexed citations
2.
Li, Xiaona, Hua Zhang, Yuanyuan Zhang, et al.. (2023). SAH and SAM/SAH ratio associate with acute kidney injury in critically ill patients: A case-control study. Clinica Chimica Acta. 553. 117726–117726. 4 indexed citations
3.
Xiong, Qunli, Ying Zhou, Su Zhang, et al.. (2023). NSD3, a member of nuclear receptor‐binding SET domain family, is a potential prognostic biomarker for pancreatic cancer. Cancer Medicine. 12(9). 10961–10978. 8 indexed citations
4.
5.
6.
Zhang, Xianhua, et al.. (2022). Determination of free and total meropenem levels in human plasma and its application for the consistency evaluation of generic drugs. Rapid Communications in Mass Spectrometry. 37(5). e9460–e9460. 2 indexed citations
7.
Liao, Rong, Qizhi Ma, Congya Zhou, et al.. (2021). Identification of biomarkers related to Tumor-Infiltrating Lymphocytes (TILs) infiltration with gene co-expression network in colorectal cancer. Bioengineered. 12(1). 1676–1688. 11 indexed citations
8.
Zhang, Xianhua, Congya Zhou, Huiyu Xu, et al.. (2020). A sensitive HPLC-DMS/MS/MS method for multiplex analysis of androgens in human serum without derivatization and its application to PCOS patients. Journal of Pharmaceutical and Biomedical Analysis. 192. 113680–113680. 6 indexed citations
9.
Li, Shuangshuang, Congya Zhou, Rong Liao, et al.. (2020). ABO blood type, smoking status, other risk factors and prognosis of pancreatic ductal adenocarcinoma. Medicine. 99(14). e19413–e19413. 10 indexed citations
10.
Zhou, Congya, Xiaofeng Cai, Yuanyuan Zhang, et al.. (2020). Accurate quantification of EVT201 and its two metabolites in human urine using UHPLC-MS/MS method with solid phase extraction. Journal of Analytical Science & Technology. 11(1). 1 indexed citations
11.
Dong, Yiping, et al.. (2019). Effect of miR-196a inhibition on esophageal cancer growth in vitro. Anti-Cancer Drugs. 31(2). 169–176. 2 indexed citations
12.
Zhang, Xianhua, Congya Zhou, Yuanyuan Zhang, et al.. (2018). Simultaneous quantification of EVT201, a novel partial positive allosteric GABAA receptor modulator, and its two metabolites in human plasma by UHPLC/MS/MS. Journal of Pharmaceutical and Biomedical Analysis. 159. 282–290. 7 indexed citations
13.
Sui, Xin, Jianye Cai, Hongyu Li, et al.. (2018). p53-dependent CD51 expression contributes to characteristics of cancer stem cells in prostate cancer. Cell Death and Disease. 9(5). 523–523. 25 indexed citations
14.
Zhang, Dan, Yiping Dong, Ying Zhao, et al.. (2018). Sinomenine hydrochloride sensitizes cervical cancer cells to ionizing radiation by impairing DNA damage response. Oncology Reports. 40(5). 2886–2895. 11 indexed citations
15.
Zhou, Congya, Yiping Dong, Xin Sui, et al.. (2018). High levels of serum glypican‐1 indicate poor prognosis in pancreatic ductal adenocarcinoma. Cancer Medicine. 7(11). 5525–5533. 55 indexed citations
16.
Ying, Xia, Suxia Han, Chenchen He, et al.. (2017). Autoantibodies against glucose-regulated protein 78 as serological biomarkers in metastatic and recurrent hepatocellular carcinoma. Oncotarget. 8(15). 24828–24839. 10 indexed citations
17.
Guo, Yuming, Jing Wang, Hai Zhu, et al.. (2016). A novel anticancer agent SNG1153 inhibits growth of lung cancer stem/progenitor cells. Oncotarget. 7(29). 45158–45170. 5 indexed citations
18.
Wang, Lijuan, Chenchen He, Xin Sui, et al.. (2015). MiR-21 promotes intrahepatic cholangiocarcinoma proliferation and growth in vitro and in vivo by targeting PTPN14 and PTEN. Oncotarget. 6(8). 5932–5946. 95 indexed citations
19.
Wang, Lijuan, Wenjin Xi, Guoxu Zheng, et al.. (2015). [Expression and clinical significance of PTPN14 in cholangiocarcinoma].. PubMed. 31(9). 1251–4. 3 indexed citations
20.
Han, Suxia, Xin Sui, Chenchen He, et al.. (2015). Serum dickkopf-1 is a novel serological biomarker for the diagnosis and prognosis of pancreatic cancer. Oncotarget. 6(23). 19907–19917. 66 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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