Chundi Gao

1.3k total citations
47 papers, 944 citations indexed

About

Chundi Gao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Chundi Gao has authored 47 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 22 papers in Cancer Research and 12 papers in Oncology. Recurrent topics in Chundi Gao's work include Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (13 papers) and Epigenetics and DNA Methylation (9 papers). Chundi Gao is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (13 papers) and Epigenetics and DNA Methylation (9 papers). Chundi Gao collaborates with scholars based in China, Macao and United States. Chundi Gao's co-authors include Changgang Sun, Cun Liu, Huayao Li, Jing Zhuang, Lijuan Liu, Chao Zhou, Fubin Feng, Xiaoran Ma, Kejia Wang and Junyu Wei and has published in prestigious journals such as Frontiers in Immunology, Journal of Cellular Physiology and Medicine.

In The Last Decade

Chundi Gao

46 papers receiving 937 citations

Peers

Chundi Gao

PRM

ONCOL

IMMUN

Huayao Li China

Yau-Tuen Chan Hong Kong

Zongfu Pan China

Feiyu Chen China

Lei Bi China

Fubin Feng China

Shanzhong Tan China

Elham Baghbani Iran

Neda Shajari Iran

Siyu Guo China

Huayao Li China

Chundi Gao

731 ×1.1

422 ×1.0

178 ×0.9

PRM

199 ×1.3

ONCOL

131 ×1.6

IMMUN

Citations per year, relative to Chundi Gao Chundi Gao (= 1×) peers Huayao Li

Countries citing papers authored by Chundi Gao

Since Specialization

Citations

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

Fields of papers citing papers by Chundi Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chundi Gao

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

Yao, Xin, et al.. (2025). Epigenetic code underlying EGFR-TKI resistance in non-small cell lung cancer: Elucidation of mechanisms and perspectives on therapeutic strategies. Drug Discovery Today. 30(3). 104321–104321. 2 indexed citations

Liu, Cun, et al.. (2025). Therapeutic potential of triple-negative breast cancer immune checkpoint blockers: A 21-year bibliometric analysis. Medicine. 104(10). e41739–e41739. 1 indexed citations

Li, Yan, Yingrui Li, Huayao Li, et al.. (2023). Potential of cucurbitacin as an anticancer drug. Biomedicine & Pharmacotherapy. 168. 115707–115707. 21 indexed citations

Yang, Shu, Xiaomin Wang, Lin Hou, et al.. (2023). ncRNA-mediated ceRNA regulatory network: Transcriptomic insights into breast cancer progression and treatment strategies. Biomedicine & Pharmacotherapy. 162. 114698–114698. 43 indexed citations

Gao, Chundi, Huayao Li, Wenzhe Ma, et al.. (2022). Comprehensive Analysis of Gene Signatures of m6ARNA Methylation Regulators in Lung Adenocarcinoma and Development of a Risk Scoring System. Journal of Immunology Research. 2022. 1–16. 2 indexed citations

Liu, Cun, Yang Yu, Ge Wang, et al.. (2022). From tumor mutational burden to characteristic targets analysis: Identifying the predictive biomarkers and natural product interventions in cancer management. Frontiers in Nutrition. 9. 989989–989989. 1 indexed citations

Liu, Jingyang, Cun Liu, Chundi Gao, et al.. (2022). Combinatorial regimens of chemotherapeutic agents: A new perspective on raising the heat of the tumor immune microenvironment. Frontiers in Pharmacology. 13. 1035954–1035954. 8 indexed citations

Gao, Chundi, Huayao Li, Chao Zhou, et al.. (2022). Survival-Associated Metabolic Genes and Risk Scoring System in HER2-Positive Breast Cancer. Frontiers in Endocrinology. 13. 813306–813306. 4 indexed citations

Gao, Chundi, Huayao Li, Cun Liu, et al.. (2021). Determination of Genetic and Epigenetic Modifications-Related Prognostic Biomarkers of Breast Cancer: Genome High-Throughput Data Analysis. Journal of Oncology. 2021. 1–12. 3 indexed citations

10.

Gao, Chundi, Huayao Li, Cun Liu, et al.. (2021). Tumor Mutation Burden and Immune Invasion Characteristics in Triple Negative Breast Cancer: Genome High-Throughput Data Analysis. Frontiers in Immunology. 12. 650491–650491. 33 indexed citations

11.

Zhang, Xiaolu, Jia Wang, Jing Zhuang, et al.. (2021). A Novel Glycolysis-Related Four-mRNA Signature for Predicting the Survival of Patients With Breast Cancer. Frontiers in Genetics. 12. 606937–606937. 13 indexed citations

12.

Li, Huayao, Chundi Gao, Cun Liu, et al.. (2021). A review of the biological activity and pharmacology of cryptotanshinone, an important active constituent in Danshen. Biomedicine & Pharmacotherapy. 137. 111332–111332. 90 indexed citations

13.

Wang, Xue, Chundi Gao, Fubin Feng, et al.. (2020). Construction and Analysis of Competing Endogenous RNA Networks for Breast Cancer Based on TCGA Dataset. BioMed Research International. 2020(1). 4078596–4078596. 14 indexed citations

14.

Li, Jie, Cun Liu, Yi Chen, et al.. (2019). Tumor Characterization in Breast Cancer Identifies Immune-Relevant Gene Signatures Associated With Prognosis. Frontiers in Genetics. 10. 1119–1119. 54 indexed citations

15.

Li, Huayao, Chundi Gao, Lijuan Liu, et al.. (2019). 7-lncRNA Assessment Model for Monitoring and Prognosis of Breast Cancer Patients: Based on Cox Regression and Co-expression Analysis. Frontiers in Oncology. 9. 1348–1348. 37 indexed citations

16.

Li, Huayao, Lijuan Liu, Jing Zhuang, et al.. (2019). Deciphering the mechanism of Indirubin and its derivatives in the inhibition of Imatinib resistance using a “drug target prediction-gene microarray analysis-protein network construction” strategy. BMC Complementary and Alternative Medicine. 19(1). 75–75. 6 indexed citations

17.

Lü, Xin, Chundi Gao, Cun Liu, et al.. (2019). Identification of the key pathways and genes involved in HER2-positive breast cancer with brain metastasis. Pathology - Research and Practice. 215(8). 152475–152475. 27 indexed citations

18.

Li, Jie, Xiaoran Ma, Cun Liu, et al.. (2018). Exploring the Mechanism of Danshen against Myelofibrosis by Network Pharmacology and Molecular Docking. Evidence-based Complementary and Alternative Medicine. 2018(1). 8363295–8363295. 21 indexed citations

19.

Gao, Chundi, Jing Zhuang, Huayao Li, et al.. (2018). Exploration of methylation-driven genes for monitoring and prognosis of patients with lung adenocarcinoma. Cancer Cell International. 18(1). 194–194. 33 indexed citations

20.

Liu, Cun, Lu Wang, Lijuan Liu, et al.. (2018). Efficacy and safety of de-escalation bone-modifying agents for cancer patients with bone metastases: a systematic review and meta-analysis. Cancer Management and Research. Volume 10. 3809–3823. 10 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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