Changcun Pan

1.1k total citations
34 papers, 554 citations indexed

About

Changcun Pan is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Changcun Pan has authored 34 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 12 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Epidemiology. Recurrent topics in Changcun Pan's work include Glioma Diagnosis and Treatment (25 papers), Meningioma and schwannoma management (11 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Changcun Pan is often cited by papers focused on Glioma Diagnosis and Treatment (25 papers), Meningioma and schwannoma management (11 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Changcun Pan collaborates with scholars based in China, United States and Thailand. Changcun Pan's co-authors include Liwei Zhang, Junting Zhang, Cheng Xu, Zhenhua Wu, Hai Yan, Liwei Zhang, Yibo Geng, Yu Wang, Yuliang Wu and Xiong Xiao and has published in prestigious journals such as Nature Communications, Advanced Functional Materials and Cancer Research.

In The Last Decade

Changcun Pan

32 papers receiving 549 citations

Peers

Changcun Pan

GENET

RNMI

NEURO

Shunsaku Takayanagi Japan

Julia Onken Germany

Abudumijiti Aibaidula China

Kristin Alfaro-Munoz United States

Jorge Samanamud United States

Haihui Jiang China

Anne Jarstein Skjulsvik Norway

Aria Jamshidi United States

Antonio Dono United States

David Coope United Kingdom

Shunsaku Takayanagi Japan

Changcun Pan

338 ×1.0

GENET

146 ×1.0

111 ×0.8

RNMI

118 ×0.9

227 ×2.0

NEURO

Citations per year, relative to Changcun Pan Changcun Pan (= 1×) peers Shunsaku Takayanagi

Countries citing papers authored by Changcun Pan

Since Specialization

Citations

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

Fields of papers citing papers by Changcun Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changcun Pan

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

All Works

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20 of 20 papers shown

Xu, Cheng, Changcun Pan, Xiaohan Li, et al.. (2025). An oncohistone-driven H3.3K27M/CREB5/ID1 axis maintains the stemness and malignancy of diffuse intrinsic pontine glioma. Nature Communications. 16(1). 3675–3675. 1 indexed citations

Yan, Kun, Yaqiang Hong, Yi Wang, et al.. (2023). Fimepinostat Impairs NFκB and PI3K/AKT Signaling and Enhances Gemcitabine Efficacy in H3.3K27M-Diffuse Intrinsic Pontine Glioma. Cancer Research. 84(4). 598–615. 12 indexed citations

Zhao, Xiaobin, Deling Li, Kai Wang, et al.. (2023). 11C-methionine PET imaging characteristics in children with diffuse intrinsic pontine gliomas and relationship to survival and H3 K27M mutation status. European Journal of Nuclear Medicine and Molecular Imaging. 50(6). 1709–1719. 6 indexed citations

Xiao, Xiong, Yi Wang, Changcun Pan, et al.. (2023). Diffusion MRI-based connectomics features improve the noninvasive prediction of H3K27M mutation in brainstem gliomas. Radiotherapy and Oncology. 186. 109789–109789. 7 indexed citations

Zhang, Mingxin, Xiong Xiao, Peng Zhang, et al.. (2023). Role of neuronavigation in the surgical management of brainstem gliomas. Frontiers in Oncology. 13. 1159230–1159230. 5 indexed citations

Wang, Yi, Nan Ji, Yang Zhang, et al.. (2023). B7H3-targeting chimeric antigen receptor modification enhances antitumor effect of Vγ9Vδ2 T cells in glioblastoma. Journal of Translational Medicine. 21(1). 672–672. 12 indexed citations

Zhang, Peng, Zhizheng Zhuo, Changcun Pan, et al.. (2022). White matter alterations in pediatric brainstem glioma: An national brain tumor registry of China study. Frontiers in Neuroscience. 16. 986873–986873. 4 indexed citations

Zuo, Pengcheng, Tao Sun, Changcun Pan, et al.. (2022). Surgical management and clinical outcomes of cerebellar liponeurocytomas—a report of seven cases and a pooled analysis of individual patient data. Neurosurgical Review. 45(2). 1747–1757. 2 indexed citations

Xiao, Xiong, Lu Kong, Changcun Pan, et al.. (2021). The role of diffusion tensor imaging and tractography in the surgical management of brainstem gliomas. Neurosurgical FOCUS. 50(1). E10–E10. 23 indexed citations

10.

Sun, Yu, Cheng Xu, Changcun Pan, et al.. (2019). Diffuse Intrinsic Pontine Gliomas Exhibit Cell Biological and Molecular Signatures of Fetal Hindbrain-Derived Neural Progenitor Cells. Neuroscience Bulletin. 35(2). 216–224. 9 indexed citations

11.

Sun, Yu, Ye Sun, Kun Yan, et al.. (2019). Potent anti-tumor efficacy of palbociclib in treatment-naïve H3.3K27M-mutant diffuse intrinsic pontine glioma. EBioMedicine. 43. 171–179. 27 indexed citations

12.

Chen, Xin, Changcun Pan, Cheng Xu, et al.. (2019). Identification of survival‑associated key genes and long non‑coding RNAs in glioblastoma multiforme by weighted gene co‑expression network analysis. International Journal of Molecular Medicine. 43(4). 1709–1722. 11 indexed citations

13.

Liu, Jia, Fang Chen, Changcun Pan, et al.. (2018). A Cascaded Deep Convolutional Neural Network for Joint Segmentation and Genotype Prediction of Brainstem Gliomas. IEEE Transactions on Biomedical Engineering. 65(9). 1943–1952. 66 indexed citations

14.

Chen, Xin, Dezuo Dong, Changcun Pan, et al.. (2018). Identification of Grade-associated MicroRNAs in Brainstem Gliomas Based on Microarray Data. Journal of Cancer. 9(23). 4463–4476. 8 indexed citations

15.

Pan, Changcun, Bill H. Diplas, Xin Chen, et al.. (2018). Molecular profiling of tumors of the brainstem by sequencing of CSF-derived circulating tumor DNA. Acta Neuropathologica. 137(2). 297–306. 120 indexed citations

16.

Pan, Changcun, Jia Liu, Jie Tang, et al.. (2018). A machine learning-based prediction model of H3K27M mutations in brainstem gliomas using conventional MRI and clinical features. Radiotherapy and Oncology. 130. 172–179. 43 indexed citations

17.

Pan, Changcun, Peng Zhang, Cheng Xu, et al.. (2017). BRAF V600E mutation is a significant prognosticator of the tumour regrowth rate in brainstem gangliogliomas. Journal of Clinical Neuroscience. 46. 50–57. 31 indexed citations

18.

Dai, Bin, Peng Zhang, Changcun Pan, et al.. (2016). RNaseH2A is involved in human gliomagenesis through the regulation of cell proliferation and apoptosis. Oncology Reports. 36(1). 173–180. 15 indexed citations

19.

Pan, Changcun, Xin Chen, Cheng Xu, et al.. (2016). Brainstem gangliogliomas: prognostic factors, surgical indications and functional outcomes. Journal of Neuro-Oncology. 128(3). 445–453. 14 indexed citations

20.

Feng, Jie, Shuyu Hao, Changcun Pan, et al.. (2015). The H3.3 K27M mutation results in a poorer prognosis in brainstem gliomas than thalamic gliomas in adults. Human Pathology. 46(11). 1626–1632. 84 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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