Gaoda Ju

570 total citations
20 papers, 391 citations indexed

About

Gaoda Ju is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Gaoda Ju has authored 20 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in Gaoda Ju's work include Ferroptosis and cancer prognosis (9 papers), RNA modifications and cancer (5 papers) and Epigenetics and DNA Methylation (4 papers). Gaoda Ju is often cited by papers focused on Ferroptosis and cancer prognosis (9 papers), RNA modifications and cancer (5 papers) and Epigenetics and DNA Methylation (4 papers). Gaoda Ju collaborates with scholars based in China, Germany and Ethiopia. Gaoda Ju's co-authors include Jun Liang, Tao Xing, Zhimin Lu, Yi Chen, Olivier Gires, Jun Liu, Jing Huang, Junjian Li, Hongxia Wang and Weiyu Ge and has published in prestigious journals such as Nature Communications, The Journal of Clinical Endocrinology & Metabolism and Gene.

In The Last Decade

Gaoda Ju

20 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaoda Ju China 9 252 150 118 109 37 20 391
Sheng-Bang Yang China 10 218 0.9× 160 1.1× 88 0.7× 81 0.7× 27 0.7× 16 348
Zuzana Pernicová Czechia 11 202 0.8× 113 0.8× 91 0.8× 146 1.3× 26 0.7× 12 376
Julius Semenas Sweden 9 235 0.9× 114 0.8× 166 1.4× 89 0.8× 51 1.4× 14 381
Raquel Bermudo Spain 10 254 1.0× 131 0.9× 169 1.4× 121 1.1× 42 1.1× 13 425
Wolong Zhou China 12 304 1.2× 157 1.0× 79 0.7× 96 0.9× 18 0.5× 21 427
Nataliya Gladoun United States 7 334 1.3× 125 0.8× 170 1.4× 200 1.8× 30 0.8× 8 552
Qing-Yun Chong Singapore 14 280 1.1× 184 1.2× 109 0.9× 140 1.3× 17 0.5× 16 472
Rui Gou China 16 367 1.5× 248 1.7× 144 1.2× 120 1.1× 45 1.2× 28 547
Yongding Wu China 14 386 1.5× 242 1.6× 155 1.3× 145 1.3× 52 1.4× 27 587
Lihong Yin United States 11 259 1.0× 81 0.5× 116 1.0× 126 1.2× 23 0.6× 17 405

Countries citing papers authored by Gaoda Ju

Since Specialization
Citations

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

Fields of papers citing papers by Gaoda Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaoda Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Gaoda Ju. A scholar is included among the top collaborators of Gaoda Ju 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 Gaoda Ju. Gaoda Ju 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.
Ju, Gaoda, Yaobin Lin, Xiaoxue Huang, et al.. (2025). TFDP1 drives triple-negative breast Cancer development through senescence suppression and serves as a therapeutic target for topotecan. International Journal of Biological Macromolecules. 310(Pt 4). 143543–143543. 1 indexed citations
2.
Ju, Gaoda, Tao Xing, Miaomiao Xu, et al.. (2024). AEBP1 promotes papillary thyroid cancer progression by activating BMP4 signaling. Neoplasia. 49. 100972–100972. 7 indexed citations
3.
Xing, Tao, Li Li, Xiaosong Rao, et al.. (2024). ARID1A deficiency promotes progression and potentiates therapeutic antitumour immunity in hepatitis B virus-related hepatocellular carcinoma. BMC Gastroenterology. 24(1). 11–11. 3 indexed citations
4.
Sun, Di, Gaoda Ju, Lisha Huang, et al.. (2023). Characterizing Genetic Alterations Related to Radioiodine Avidity in Metastatic Thyroid Cancer. The Journal of Clinical Endocrinology & Metabolism. 109(5). 1231–1240. 9 indexed citations
5.
Ju, Gaoda, Hao Wang, Xin Zhang, et al.. (2023). Fusion Oncogenes in Patients With Locally Advanced or Distant Metastatic Differentiated Thyroid Cancer. The Journal of Clinical Endocrinology & Metabolism. 109(2). 505–515. 7 indexed citations
6.
Xing, Tao, Li Li, Yiran Chen, et al.. (2023). Targeting the TCA cycle through cuproptosis confers synthetic lethality on ARID1A-deficient hepatocellular carcinoma. Cell Reports Medicine. 4(11). 101264–101264. 40 indexed citations
7.
Li, Li, Tao Xing, Yiran Chen, et al.. (2023). In vitro CRISPR screening uncovers CRTC3 as a regulator of IFN-γ-induced ferroptosis of hepatocellular carcinoma. Cell Death Discovery. 9(1). 331–331. 10 indexed citations
8.
Mao, Shihang, Gaoda Ju, Bing Xue, et al.. (2023). Identification of DYNLT1 associated with proliferation, relapse, and metastasis in breast cancer. Frontiers in Medicine. 10. 1167676–1167676. 3 indexed citations
9.
Ju, Gaoda, Kai Zeng, Linlin Lu, et al.. (2023). Identification and validation of the cellular senescence-related molecular subtypes of triple negative breast cancer via integrating bulk and single-cell RNA sequencing data.. PubMed. 13(2). 569–588. 3 indexed citations
10.
Zhou, Tianhao, Tao Wang, Kai Zeng, et al.. (2022). A nomogram based on a three pyroptosis gene model and clinical parameters for predicting prognosis of hepatocellular carcinoma. Gene. 819. 146243–146243. 5 indexed citations
11.
Li, Li, Jie Lan, Yang Cui, et al.. (2022). CRISPR screens uncover protective effect of PSTK as a regulator of chemotherapy-induced ferroptosis in hepatocellular carcinoma. Molecular Cancer. 21(1). 11–11. 89 indexed citations
12.
13.
Ju, Gaoda, et al.. (2021). DUSP12 regulates the tumorigenesis and prognosis of hepatocellular carcinoma. PeerJ. 9. e11929–e11929. 4 indexed citations
14.
Zhao, Jing, Weiran Xu, Yu Zhang, et al.. (2021). Decreased Expression of Arid1A Invasively Downregulates the Expression of Ribosomal Proteins in Hepatocellular Carcinoma. Biomarkers in Medicine. 15(7). 497–508. 1 indexed citations
15.
Zhou, Tianhao, et al.. (2021). DTYMK promote hepatocellular carcinoma proliferation by regulating cell cycle. Cell Cycle. 20(17). 1681–1691. 17 indexed citations
16.
Ju, Gaoda, et al.. (2021). High expression of transmembrane P24 trafficking protein 9 predicts poor prognosis in breast carcinoma. Bioengineered. 12(1). 8965–8979. 12 indexed citations
17.
Zhou, Tianhao, Jingzhi Su, Rui Qin, et al.. (2020). <p>Prognostic and Predictive Value of a 15 Transcription Factors (TFs) Panel for Hepatocellular Carcinoma</p>. Cancer Management and Research. Volume 12. 12349–12361. 9 indexed citations
18.
Zeng, Kai, et al.. (2020). GLUT1/3/4 as novel biomarkers for the prognosis of human breast cancer. Translational Cancer Research. 9(4). 2363–2377. 21 indexed citations
19.
Zhu, Rongxuan, Olivier Gires, Li Zhu, et al.. (2019). TSPAN8 promotes cancer cell stemness via activation of sonic Hedgehog signaling. Nature Communications. 10(1). 2863–2863. 141 indexed citations
20.
Ju, Gaoda, Rongxuan Zhu, Fen Ye, et al.. (2018). The discordance pattern of molecular sub-types between primary and metastatic sites in Chinese breast cancer patients.. PubMed. 11(12). 5938–5947. 2 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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