Chunbin Duan

555 total citations
9 papers, 418 citations indexed

About

Chunbin Duan is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Chunbin Duan has authored 9 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Chunbin Duan's work include Glioma Diagnosis and Treatment (3 papers), Cancer-related molecular mechanisms research (3 papers) and MicroRNA in disease regulation (3 papers). Chunbin Duan is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Cancer-related molecular mechanisms research (3 papers) and MicroRNA in disease regulation (3 papers). Chunbin Duan collaborates with scholars based in China, Russia and United States. Chunbin Duan's co-authors include Xiangqi Meng, Jinquan Cai, Ruijia Wang, Pengfei Wu, Qun Chen, Chuanlu Jiang, Chunsheng Kang, Shihong Zhao, Chuanlu Jiang and Yansheng Li and has published in prestigious journals such as Nature Communications, International Journal of Cancer and Carcinogenesis.

In The Last Decade

Chunbin Duan

9 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunbin Duan China 7 270 189 110 102 72 9 418
Alison Roos United States 10 207 0.8× 121 0.6× 81 0.7× 64 0.6× 87 1.2× 16 360
Boxuan Liu China 12 243 0.9× 134 0.7× 57 0.5× 64 0.6× 61 0.8× 25 374
Yuanhao Chang China 11 250 0.9× 198 1.0× 129 1.2× 115 1.1× 83 1.2× 20 455
Patrícia Domingues Portugal 3 165 0.6× 107 0.6× 172 1.6× 98 1.0× 81 1.1× 10 390
Mark Vitucci United States 9 157 0.6× 78 0.4× 136 1.2× 122 1.2× 58 0.8× 9 355
Stephanie Sanders United States 6 221 0.8× 207 1.1× 71 0.6× 67 0.7× 82 1.1× 8 377
Sara Bolin United States 10 225 0.8× 61 0.3× 90 0.8× 135 1.3× 70 1.0× 13 411
Michaël H. Meel Netherlands 13 172 0.6× 65 0.3× 153 1.4× 50 0.5× 68 0.9× 20 367
Soumya M. Turaga United States 9 147 0.5× 85 0.4× 78 0.7× 78 0.8× 90 1.3× 11 288
Benjamin Anderson United States 5 239 0.9× 131 0.7× 46 0.4× 97 1.0× 37 0.5× 6 402

Countries citing papers authored by Chunbin Duan

Since Specialization
Citations

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

Fields of papers citing papers by Chunbin Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunbin Duan

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

All Works

9 of 9 papers shown
1.
Zhang, Cong, Guohui Wang, Chunbin Duan, et al.. (2021). Prognostic Value of Platelet Distribution Width and Mean Platelet Volume in Patients with Laryngeal Cancer. Future Oncology. 17(9). 1025–1037. 5 indexed citations
2.
Mao, Xionghui, Xueying Wang, Changming An, et al.. (2021). Alternatively spliced ANLN isoforms synergistically contribute to the progression of head and neck squamous cell carcinoma. Cell Death and Disease. 12(8). 25 indexed citations
3.
An, Changming, Cong Zhang, Guohui Wang, et al.. (2020). Prognostic Significance of Lactate Dehydrogenase in Patients Undergoing Surgical Resection for Laryngeal Squamous Cell Carcinoma. Cancer Control. 27(1). 1148414059–1148414059. 8 indexed citations
4.
Han, Bo, Ruijia Wang, Yongjie Chen, et al.. (2019). QKI deficiency maintains glioma stem cell stemness by activating the SHH/GLI1 signaling pathway. Cellular Oncology. 42(6). 801–813. 16 indexed citations
5.
Wu, Pengfei, Jinquan Cai, Qun Chen, et al.. (2019). Lnc-TALC promotes O6-methylguanine-DNA methyltransferase expression via regulating the c-Met pathway by competitively binding with miR-20b-3p. Nature Communications. 10(1). 2045–2045. 147 indexed citations
6.
Meng, Xiangqi, Chunbin Duan, Qun Chen, et al.. (2019). DNA damage repair alterations modulate M2 polarization of microglia to remodel the tumor microenvironment via the p53-mediated MDK expression in glioma. EBioMedicine. 41. 185–199. 75 indexed citations
7.
Chen, Qun, Bo Han, Xiangqi Meng, et al.. (2019). Immunogenomic analysis reveals LGALS1 contributes to the immune heterogeneity and immunosuppression in glioma. International Journal of Cancer. 145(2). 517–530. 79 indexed citations
8.
Han, Bo, Jinquan Cai, Xiangqi Meng, et al.. (2018). Loss of ATRX suppresses ATM dependent DNA damage repair by modulating H3K9me3 to enhance temozolomide sensitivity in glioma. Cancer Letters. 419. 280–290. 57 indexed citations
9.
Wang, Zhiliang, Chuanbao Zhang, Zheng Wang, et al.. (2018). MiR-134, epigenetically silenced in gliomas, could mitigate the malignant phenotype by targeting KRAS. Carcinogenesis. 39(3). 389–396. 6 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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