Chengcheng Guo

2.5k total citations
54 papers, 931 citations indexed

About

Chengcheng Guo is a scholar working on Genetics, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chengcheng Guo has authored 54 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 12 papers in Oncology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chengcheng Guo's work include Glioma Diagnosis and Treatment (12 papers), Brain Metastases and Treatment (7 papers) and Lung Cancer Research Studies (7 papers). Chengcheng Guo is often cited by papers focused on Glioma Diagnosis and Treatment (12 papers), Brain Metastases and Treatment (7 papers) and Lung Cancer Research Studies (7 papers). Chengcheng Guo collaborates with scholars based in China, United States and Sweden. Chengcheng Guo's co-authors include Ying Tian, Haoran Li, Li Jiang, Hongqiang Guo, Xingxiang Pu, Guoliang Huang, Ye Shen, Yutao Liu, Xinguo Zhao and Junqi Gao and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Chengcheng Guo

50 papers receiving 916 citations

Peers

Chengcheng Guo

ONCOL

EPIDE

OCEAN

Makoto Satake Japan

Fengwei Wang China

Linling Chen China

Guangxin Li China

Wataru Takahashi Japan

Fu Chen China

Shixiang Wang China

Mingyuan Wang China

Xiaobin Feng China

Huaying Liu China

Makoto Satake Japan

Chengcheng Guo

462 ×1.5

101 ×0.4

257 ×2.3

ONCOL

79 ×0.9

EPIDE

42 ×0.5

OCEAN

Citations per year, relative to Chengcheng Guo Chengcheng Guo (= 1×) peers Makoto Satake

Countries citing papers authored by Chengcheng Guo

Since Specialization

Citations

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

Fields of papers citing papers by Chengcheng Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengcheng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Chengcheng Guo. A scholar is included among the top collaborators of Chengcheng Guo 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 Chengcheng Guo. Chengcheng Guo 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

Guo, Chengcheng, et al.. (2025). Straw application and drip irrigation boost wolfberry performance in coastal saline soil by modifying the root zone environment and rhizosphere microbiome. Plant and Soil. 515(1). 125–146. 1 indexed citations

Guo, Chengcheng, et al.. (2025). Exploring the relationship between MGAT2 and glioblastoma: A Mendelian Randomization and bioinformatics approach. Brain Research. 1850. 149449–149449. 2 indexed citations

Xu, Qingli, et al.. (2025). Surface-Functionalized Carbon Nanotube Yarn for High-Performing Flexible Supercapacitors. ACS Applied Energy Materials. 8(15). 10813–10821.

Guo, Chengcheng, Ruizhi Zhang, Lei Li, et al.. (2025). Multiscale analysis of Al4Cu9 intermetallic compounds on shock Hugoniot of Al-Cu composites: Experiments and simulations. Composite Structures. 355. 118866–118866. 1 indexed citations

Zhang, Yiwei, et al.. (2024). Accurate Finite Element Simulations of Dynamic Behaviour: Constitutive Models and Analysis with Deep Learning. Materials. 17(3). 643–643. 1 indexed citations

Li, Cong, Shaoyan Xi, Chengcheng Guo, et al.. (2023). Clinical significance of histopathological features of paired recurrent gliomas: a cohort study from a single cancer center. BMC Cancer. 23(1). 8–8. 4 indexed citations

Chen, Zhaolin, Chengcheng Guo, Qunying Yang, et al.. (2023). PL01.5.A NEOADJUVANT CAMRELIZUMAB AND APATINIB IN PATIENTS WITH RECURRENT HIGH-GRADE GLIOMAS:PRIMARY REPORT OF AN OPEN LABEL PHASE II STUDY. Neuro-Oncology. 25(Supplement_2). ii1–ii1. 1 indexed citations

Guo, Chengcheng, Lei Li, Han Chen, et al.. (2023). Hydrodynamic simulation of hypervelocity generation by multidimensional graded impactors: Planarity enhancement study. Heliyon. 9(3). e13704–e13704. 1 indexed citations

Zou, Xiantong, Xianghai Zhou, Yufeng Li, et al.. (2023). Gender‐specific data‐driven adiposity subtypes using deep‐learning‐based abdominal CT segmentation. Obesity. 31(6). 1600–1609. 3 indexed citations

10.

Zhong, Sheng, Jiaxin Ren, Davy Deng, et al.. (2022). Predicting glioblastoma molecular subtypes and prognosis with a multimodal model integrating convolutional neural network, radiomics, and semantics. Journal of neurosurgery. 139(2). 305–314. 17 indexed citations

11.

Chen, Limin, Zhao Wang, Qiuyan Xu, et al.. (2022). Prognostic value of the modified systemic inflammation score in non-small-cell lung cancer with brain metastasis. Cancer Cell International. 22(1). 320–320. 7 indexed citations

12.

Wang, Zhenning, Xiaobing Jiang, Jie Lü, et al.. (2022). Survival Benefit from Surgical Resection in Lung Cancer Patients with Brain Metastases: a Single-Center, Propensity-Matched Analysis Cohort Study. Annals of Surgical Oncology. 29(6). 3684–3693. 4 indexed citations

13.

Yang, Qunying, Chengcheng Guo, Xiaoping Lin, et al.. (2021). Anlotinib Alone or in Combination With Temozolomide in the Treatment of Recurrent High-Grade Glioma: A Retrospective Analysis. Frontiers in Pharmacology. 12. 804942–804942. 6 indexed citations

14.

Li, De‐Pei, Wanming Hu, Xiaoping Lin, et al.. (2021). CARD-Associated Risk Score Features the Immune Landscape and Predicts the Responsiveness to Anti-PD-1 Therapy in IDH Wild-Type Gliomas. Frontiers in Cell and Developmental Biology. 9. 653240–653240. 2 indexed citations

15.

Li, Cong, Yinsheng Chen, Qingping Zhang, et al.. (2020). Expression of Twist associated to microcirculation patterns of human glioma correlated with progression and survival of the patient. International review of neurobiology. 151. 201–217. 7 indexed citations

16.

Li, Lingjun, Yue Sun, Yuzhen Wang, et al.. (2019). An Available Strategy for Nasal Brain Transport of Nanocomposite Based on PAMAM Dendrimers via In Situ Gel. Nanomaterials. 9(2). 147–147. 46 indexed citations

17.

Huang, He, Zhao Wang, Xiaojie Fang, et al.. (2019). Platelet-derived alpha-granules are associated with inflammation in patients with NK/T-cell lymphoma-associated hemophagocytic syndrome. Cytokine. 126. 154878–154878. 13 indexed citations

18.

Wang, Yang, Ji Zhang, Fuhua Lin, et al.. (2018). Outcome and prognostic value of treatment for brain metastases and the primary tumor in patients with breast cancer brain metastases. Clinical Neurology and Neurosurgery. 170. 43–46. 3 indexed citations

19.

Zhang, Ji, Youping Li, Jianmin Liu, et al.. (2017). Postoperative functional status in patients with supratentorial superficial low-grade glioma. World Journal of Surgical Oncology. 15(1). 186–186. 1 indexed citations

20.

Xie, Yun, et al.. (2010). Comparison of entecavir and lamivudine in preventing hepatitis B reactivation in lymphoma patients during chemotherapy. Journal of Viral Hepatitis. 18(12). 877–883. 75 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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