Rujun Mo

703 total citations
21 papers, 454 citations indexed

About

Rujun Mo is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Rujun Mo has authored 21 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 5 papers in Oncology. Recurrent topics in Rujun Mo's work include Prostate Cancer Treatment and Research (9 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Cancer-related gene regulation (4 papers). Rujun Mo is often cited by papers focused on Prostate Cancer Treatment and Research (9 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Cancer-related gene regulation (4 papers). Rujun Mo collaborates with scholars based in China, United States and Japan. Rujun Mo's co-authors include Weide Zhong, Huichan He, Funeng Jiang, Zhaodong Han, Yongding Wu, Jianguo Zhu, Yangjia Zhuo, Yuxiang Liang, Yingke Liang and Zhiduan Cai and has published in prestigious journals such as PLoS ONE, Cancer Research and International Journal of Cancer.

In The Last Decade

Rujun Mo

21 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rujun Mo China 13 282 147 120 115 67 21 454
Julian Musa Germany 8 334 1.2× 136 0.9× 108 0.9× 113 1.0× 39 0.6× 18 500
Ruiqing Peng China 12 293 1.0× 183 1.2× 79 0.7× 160 1.4× 99 1.5× 27 503
Min Peng China 14 213 0.8× 136 0.9× 137 1.1× 206 1.8× 72 1.1× 60 521
Suhua Xia China 14 314 1.1× 220 1.5× 63 0.5× 127 1.1× 74 1.1× 24 520
Simantini Eddy United States 6 190 0.7× 161 1.1× 97 0.8× 165 1.4× 76 1.1× 8 409
Bo Ni China 12 282 1.0× 218 1.5× 116 1.0× 128 1.1× 163 2.4× 30 560
Kaimi Li China 12 211 0.7× 132 0.9× 102 0.8× 138 1.2× 79 1.2× 15 397
Danielle L. Jernigan United States 9 315 1.1× 143 1.0× 103 0.9× 225 2.0× 76 1.1× 11 553
Yanling Fan China 9 249 0.9× 101 0.7× 61 0.5× 130 1.1× 50 0.7× 11 384

Countries citing papers authored by Rujun Mo

Since Specialization
Citations

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

Fields of papers citing papers by Rujun Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rujun Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Rujun Mo. A scholar is included among the top collaborators of Rujun Mo 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 Rujun Mo. Rujun Mo 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.
Huang, Yaqiang, Haiying Zhu, Qi Wang, et al.. (2025). Development and validation of a kinase-related gene signature as a novel diagnostic and prognostic model for prostate cancer. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1871(4). 167722–167722. 2 indexed citations
2.
Lu, Yingying, Xianglong Li, Youmin Rong, et al.. (2024). Chromosome-scale assembly and analysis of yellow Camellia (Camellia limonia) genome reveal plant adaptation mechanism and flavonoid biosynthesis in karst region. Global Ecology and Conservation. 56. e03296–e03296. 2 indexed citations
4.
Zhong, Chuanfan, Jianming Lü, Zining Long, et al.. (2024). GG-NER’s role in androgen receptor signaling inhibitor response for advanced prostate cancer. Cell Communication and Signaling. 22(1). 600–600. 2 indexed citations
5.
Mo, Rujun, et al.. (2023). Identification and Validation of FGF-Related Prognostic Signatures in Prostate Cancer. Disease Markers. 2023. 1–15. 2 indexed citations
6.
Liang, Yuxiang, Yingke Liang, Zhihao Zou, et al.. (2022). Tumor Suppressor Role and Clinical Significance of the FEV Gene in Prostate Cancer. Disease Markers. 2022. 1–14. 4 indexed citations
7.
Han, Zhaodong, Rujun Mo, Yuanfa Feng, et al.. (2022). Differential Expression of E2F Transcription Factors and Their Functional and Prognostic Roles in Human Prostate Cancer. Frontiers in Cell and Developmental Biology. 10. 831329–831329. 14 indexed citations
8.
Ye, Jian‐Heng, Zhiduan Cai, Yong Luo, et al.. (2020). GPD1 Enhances the Anticancer Effects of Metformin by Synergistically Increasing Total Cellular Glycerol-3-Phosphate. Cancer Research. 80(11). 2150–2162. 51 indexed citations
9.
Cai, Zhiduan, Zhuoyuan Lin, Cong Wang, et al.. (2020). ARNT‐dependent CCR8 reprogrammed LDH isoform expression correlates with poor clinical outcomes of prostate cancer. Molecular Carcinogenesis. 59(8). 897–907. 12 indexed citations
10.
Liu, Zezhen, Zhaodong Han, Yingke Liang, et al.. (2019). TRIB1 induces macrophages to M2 phenotype by inhibiting IKB-zeta in prostate cancer. Cellular Signalling. 59. 152–162. 25 indexed citations
11.
Lü, Jianming, Weimin Dong, Huichan He, et al.. (2018). Autophagy induced by overexpression of DCTPP1 promotes tumor progression and predicts poor clinical outcome in prostate cancer. International Journal of Biological Macromolecules. 118(Pt A). 599–609. 32 indexed citations
12.
Zhuo, Yangjia, Yu Zheng, Rujun Mo, et al.. (2017). High expression of ASPM correlates with tumor progression and predicts poor outcome in patients with prostate cancer. International Urology and Nephrology. 49(5). 817–823. 41 indexed citations
13.
Wan, Yueping, Ming Xi, Huichan He, et al.. (2017). Expression and Clinical Significance of SOX9 in Renal Cell Carcinoma, Bladder Cancer and Penile Cancer. Oncology Research and Treatment. 40(1-2). 15–20. 20 indexed citations
14.
Liang, Yuxiang, Jianming Lü, Rujun Mo, et al.. (2016). E2F1 promotes tumor cell invasion and migration through regulating CD147 in prostate cancer. International Journal of Oncology. 48(4). 1650–1658. 47 indexed citations
15.
Liang, Yuxiang, Rujun Mo, Huichan He, et al.. (2015). Aberrant hypomethylation-mediated CD147 overexpression promotes aggressive tumor progression in human prostate cancer. Oncology Reports. 33(5). 2648–2654. 7 indexed citations
16.
Zhou, Lizhi, Dan Xia, Jian Zhu, et al.. (2014). Enhanced expression of IMPDH2 promotes metastasis and advanced tumor progression in patients with prostate cancer. Clinical & Translational Oncology. 16(10). 906–913. 26 indexed citations
17.
Liang, Yuxiang, Jianguo Zhu, Xin Fu, et al.. (2014). CC Chemokine Ligand 18 Correlates with Malignant Progression of Prostate Cancer. BioMed Research International. 2014. 1–10. 41 indexed citations
18.
Jiang, Funeng, Huichan He, Yanqiong Zhang, et al.. (2013). An Integrative Proteomics and Interaction Network-Based Classifier for Prostate Cancer Diagnosis. PLoS ONE. 8(5). e63941–e63941. 25 indexed citations
19.
Zhu, Jianguo, Qi-Shan Dai, Zhaodong Han, et al.. (2013). Expression of SOCSs in human prostate cancer and their association in prognosis. Molecular and Cellular Biochemistry. 381(1-2). 51–59. 41 indexed citations
20.
He, Huichan, Xiaohui Ling, Jianguo Zhu, et al.. (2013). Down-regulation of the ErbB3 binding protein 1 in human bladder cancer promotes tumor progression and cell proliferation. Molecular Biology Reports. 40(5). 3799–3805. 15 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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