Cuipeng Qiu

433 total citations
20 papers, 219 citations indexed

About

Cuipeng Qiu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Cuipeng Qiu has authored 20 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Molecular Biology and 11 papers in Immunology. Recurrent topics in Cuipeng Qiu's work include Monoclonal and Polyclonal Antibodies Research (13 papers), Immunotherapy and Immune Responses (10 papers) and Glycosylation and Glycoproteins Research (4 papers). Cuipeng Qiu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (13 papers), Immunotherapy and Immune Responses (10 papers) and Glycosylation and Glycoproteins Research (4 papers). Cuipeng Qiu collaborates with scholars based in China and United States. Cuipeng Qiu's co-authors include Hua Ye, Peng Wang, Jianxiang Shi, Liping Dai, Jianying Zhang, Guiying Sun, Keyan Wang, Bofei Wang, Jiejie Qin and Di Jiang and has published in prestigious journals such as International Journal of Molecular Sciences, Expert Systems with Applications and Frontiers in Immunology.

In The Last Decade

Cuipeng Qiu

20 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuipeng Qiu China 10 130 83 72 40 29 20 219
Guiying Sun China 11 197 1.5× 70 0.8× 71 1.0× 84 2.1× 37 1.3× 34 299
Lu Pei China 10 124 1.0× 45 0.5× 42 0.6× 36 0.9× 73 2.5× 20 227
Mingxuan Xie China 8 138 1.1× 49 0.6× 39 0.5× 118 3.0× 52 1.8× 10 317
Ashley Kiemen United States 9 98 0.8× 33 0.4× 30 0.4× 39 1.0× 87 3.0× 23 270
Anne Murray United States 4 103 0.8× 88 1.1× 112 1.6× 11 0.3× 67 2.3× 8 230
Iris Nederlof Netherlands 9 71 0.5× 44 0.5× 138 1.9× 57 1.4× 150 5.2× 15 317
Jessica Da Gama Duarte Australia 9 95 0.7× 53 0.6× 118 1.6× 20 0.5× 100 3.4× 16 250
Wenyi Zhao China 8 232 1.8× 100 1.2× 188 2.6× 32 0.8× 117 4.0× 21 332
Celine B. Parsy-Kowalska United Kingdom 8 187 1.4× 190 2.3× 145 2.0× 41 1.0× 147 5.1× 11 424
Emanuelle M. Rizk United States 7 69 0.5× 28 0.3× 68 0.9× 25 0.6× 144 5.0× 17 217

Countries citing papers authored by Cuipeng Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Cuipeng Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuipeng Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Cuipeng Qiu. A scholar is included among the top collaborators of Cuipeng Qiu 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 Cuipeng Qiu. Cuipeng Qiu 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.
Qiu, Cuipeng, et al.. (2023). ESDTW: Extrema-based shape dynamic time warping. Expert Systems with Applications. 239. 122432–122432. 11 indexed citations
2.
Zhang, Xiaojun, et al.. (2023). Oridonin Induces Apoptosis in Esophageal Squamous Cell Carcinoma by Inhibiting Cytoskeletal Protein LASP1 and PDLIM1. Molecules. 28(2). 805–805. 5 indexed citations
3.
4.
Yang, Qian, Hua Ye, Guiying Sun, et al.. (2023). Human Proteome Microarray identifies autoantibodies to tumor‐associated antigens as serological biomarkers for the diagnosis of hepatocellular carcinoma. Molecular Oncology. 17(5). 887–900. 9 indexed citations
5.
Qiu, Cuipeng, et al.. (2023). Autoantibodies to PAX5, PTCH1, and GNA11 as Serological Biomarkers in the Detection of Hepatocellular Carcinoma in Hispanic Americans. International Journal of Molecular Sciences. 24(4). 3721–3721. 2 indexed citations
6.
Wang, Keyan, Cuipeng Qiu, Miao Li, et al.. (2023). Association of elevated autoantibody to high expression of GNAS in hepatocellular carcinoma. Heliyon. 9(12). e22627–e22627. 2 indexed citations
7.
Wang, Xiao, Keyan Wang, Cuipeng Qiu, et al.. (2022). Autoantibody to GNAS in Early Detection of Hepatocellular Carcinoma: A Large-Scale Sample Study Combined with Verification in Serial Sera from HCC Patients. Biomedicines. 10(1). 97–97. 6 indexed citations
8.
Qiu, Cuipeng, Guiying Sun, Xiao Wang, et al.. (2022). Serum Autoantibodies against LRDD, STC1, and FOXA1 as Biomarkers in the Detection of Ovarian Cancer. Disease Markers. 2022. 1–11. 11 indexed citations
9.
Qiu, Cuipeng, Bofei Wang, Xiaojun Zhang, et al.. (2022). Autoantibody against Tumor-Associated Antigens as Diagnostic Biomarkers in Hispanic Patients with Hepatocellular Carcinoma. Cells. 11(20). 3227–3227. 6 indexed citations
10.
Qiu, Cuipeng, Peng Wang, Guiying Sun, et al.. (2021). Identification of Novel Autoantibodies Based on the Human Proteomic Chips and Evaluation of Their Performance in the Detection of Gastric Cancer. Frontiers in Oncology. 11. 637871–637871. 11 indexed citations
11.
Han, Zhuo, Keming Li, Jinyu Wu, et al.. (2021). Diagnostic Value of Rna for Hepatocellular Carcinoma: A Network Meta-Analysis. Biomarkers in Medicine. 15(18). 1755–1767. 6 indexed citations
12.
Qiu, Cuipeng, Bofei Wang, Jianxiang Shi, et al.. (2021). Serum Anti-PDLIM1 Autoantibody as Diagnostic Marker in Ovarian Cancer. Frontiers in Immunology. 12. 698312–698312. 16 indexed citations
13.
Qiu, Cuipeng, Bofei Wang, Peng Wang, et al.. (2021). Identification of novel autoantibody signatures and evaluation of a panel of autoantibodies in breast cancer. Cancer Science. 112(8). 3388–3400. 8 indexed citations
14.
Wu, Jinyu, Peng Wang, Zhuo Han, et al.. (2021). A novel immunodiagnosis panel for hepatocellular carcinoma based on bioinformatics and the autoantibody‐antigen system. Cancer Science. 113(2). 411–422. 20 indexed citations
15.
Ma, Yan, Xiao Wang, Cuipeng Qiu, et al.. (2020). Using protein microarray to identify and evaluate autoantibodies to tumor‐associated antigens in ovarian cancer. Cancer Science. 112(2). 537–549. 38 indexed citations
16.
17.
Yang, Qian, Jiejie Qin, Guiying Sun, et al.. (2020). Discovery and Validation of Serum Autoantibodies Against Tumor-Associated Antigens as Biomarkers in Gastric Adenocarcinoma Based on the Focused Protein Arrays. Clinical and Translational Gastroenterology. 12(1). e00284–e00284. 9 indexed citations
18.
Qiu, Cuipeng, Peng Wang, Bofei Wang, et al.. (2019). Establishment and validation of an immunodiagnostic model for prediction of breast cancer. OncoImmunology. 9(1). 1682382–1682382. 21 indexed citations
19.
Sun, Guiying, Hua Ye, Xiao Wang, et al.. (2019). Autoantibodies against tumor‐associated antigens combined with microRNAs in detecting esophageal squamous cell carcinoma. Cancer Medicine. 9(3). 1173–1182. 8 indexed citations
20.
Bai, Zhenggang, et al.. (2018). Selective admission policy of medical undergraduates in western China: applicants' real attitudes to the choice of a rural medical career. Rural and Remote Health. 18(4). 4519–4519. 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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