Junhui Hu

2.2k total citations
48 papers, 1.5k citations indexed

About

Junhui Hu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Junhui Hu has authored 48 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 17 papers in Cancer Research and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Junhui Hu's work include Epigenetics and DNA Methylation (8 papers), Renal cell carcinoma treatment (7 papers) and MicroRNA in disease regulation (7 papers). Junhui Hu is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Renal cell carcinoma treatment (7 papers) and MicroRNA in disease regulation (7 papers). Junhui Hu collaborates with scholars based in China, United States and South Korea. Junhui Hu's co-authors include Hua Xu, Lily Wu, Zhangqun Ye, Jin Zeng, Yu Gan, Haibing Xiao, Changsheng Xie, Kun Tang, Run Wu and Ke Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Junhui Hu

45 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junhui Hu China 24 890 603 224 186 185 48 1.5k
Yimin Wang China 24 791 0.9× 448 0.7× 218 1.0× 184 1.0× 135 0.7× 83 2.0k
Yaohui Wang China 21 359 0.4× 272 0.5× 268 1.2× 333 1.8× 130 0.7× 89 1.5k
Haitao Wu China 22 687 0.8× 311 0.5× 292 1.3× 473 2.5× 492 2.7× 158 2.3k
Zhijian He China 12 1.7k 1.9× 833 1.4× 95 0.4× 102 0.5× 410 2.2× 35 2.6k
Yueming Sun China 24 916 1.0× 544 0.9× 110 0.5× 211 1.1× 142 0.8× 64 1.5k
Gourab Bhattacharjee United States 25 957 1.1× 530 0.9× 82 0.4× 71 0.4× 130 0.7× 45 2.1k
Xiaoyuan Huang China 24 612 0.7× 196 0.3× 68 0.3× 330 1.8× 295 1.6× 101 1.8k
Junyi Wu China 16 519 0.6× 320 0.5× 99 0.4× 103 0.6× 129 0.7× 56 1.1k
Xiaopeng Ma China 24 663 0.7× 222 0.4× 180 0.8× 310 1.7× 513 2.8× 128 2.0k
Tongyi Huang China 17 311 0.3× 217 0.4× 104 0.5× 208 1.1× 263 1.4× 37 1.2k

Countries citing papers authored by Junhui Hu

Since Specialization
Citations

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

Fields of papers citing papers by Junhui Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junhui Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Junhui Hu. A scholar is included among the top collaborators of Junhui Hu 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 Junhui Hu. Junhui Hu 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.
2.
Hu, Junhui, et al.. (2025). A Complex Network of Obesity‐Risk Genes Revealed by Systematic Bioinformatics and Single‐Cell Transcriptomic Analyses. Journal of Obesity. 2025(1). 7821115–7821115. 1 indexed citations
3.
Hu, Junhui, Ping Tan, Nicholas Bayley, et al.. (2023). Tumor heterogeneity in VHL drives metastasis in clear cell renal cell carcinoma. Signal Transduction and Targeted Therapy. 8(1). 155–155. 40 indexed citations
4.
Zhang, Zhicheng, Yazhen Zhu, Hsian‐Rong Tseng, et al.. (2023). Exosomes from Von Hippel-Lindau-Null Cancer Cells Promote Metastasis in Renal Cell Carcinoma. International Journal of Molecular Sciences. 24(24). 17307–17307. 8 indexed citations
5.
Wang, Ying, et al.. (2021). Value of the Neutrophil-Lymphocyte Ratio in Predicting COVID-19 Severity: A Meta-analysis. Disease Markers. 2021. 1–10. 31 indexed citations
6.
Wang, Ying, et al.. (2021). Development of an Autophagy-Related Gene Prognostic Model and Nomogram for Estimating Renal Clear Cell Carcinoma Survival. Journal of Oncology. 2021. 1–13. 6 indexed citations
7.
Zhao, Jingyi, et al.. (2021). Potential role of a three-gene signature in predicting diagnosis in patients with myocardial infarction. Bioengineered. 12(1). 2734–2749. 17 indexed citations
8.
Chen, Ke, Jin Zeng, Yi Eve Sun, et al.. (2021). Junction plakoglobin regulates and destabilizes HIF2α to inhibit tumorigenesis of renal cell carcinoma. Cancer Communications. 41(4). 316–332. 11 indexed citations
9.
Zhang, Zhicheng, Ai Guo, Liping Chen, et al.. (2021). Associations of immunological features with COVID-19 severity: a systematic review and meta-analysis. BMC Infectious Diseases. 21(1). 738–738. 32 indexed citations
10.
Hu, Junhui, et al.. (2020). Comparing Metastatic Clear Cell Renal Cell Carcinoma Model Established in Mouse Kidney and on Chicken Chorioallantoic Membrane. Journal of Visualized Experiments. 8 indexed citations
11.
Mei, Qixiang, Guoying Deng, Zehua Huang, et al.. (2020). Porous COS@SiO2 Nanocomposites Ameliorate Severe Acute Pancreatitis and Associated Lung Injury by Regulating the Nrf2 Signaling Pathway in Mice. Frontiers in Chemistry. 8. 720–720. 14 indexed citations
12.
Hu, Junhui, Wei Guan, Libin Yan, et al.. (2019). Cancer Stem Cell Marker Endoglin (CD105) Induces Epithelial Mesenchymal Transition (EMT) but Not Metastasis in Clear Cell Renal Cell Carcinoma. Stem Cells International. 2019. 1–9. 25 indexed citations
13.
Hu, Junhui, et al.. (2019). Mouse- and patient-derived CAM xenografts for studying metastatic renal cell carcinoma. ˜The œEnzymes. 46. 59–80. 3 indexed citations
14.
Hu, Junhui, Shiruyeh Schokrpur, Maani M. Archang, et al.. (2018). A Non-integrating Lentiviral Approach Overcomes Cas9-Induced Immune Rejection to Establish an Immunocompetent Metastatic Renal Cancer Model. Molecular Therapy — Methods & Clinical Development. 9. 203–210. 31 indexed citations
15.
Wu, Ze, Haicong Shen, Junhui Hu, et al.. (2017). Aptamer-based fluorescence-quenching lateral flow strip for rapid detection of mercury (II) ion in water samples. Analytical and Bioanalytical Chemistry. 409(22). 5209–5216. 60 indexed citations
16.
Hu, Junhui, Wei Guan, Peijun Liu, et al.. (2017). Endoglin Is Essential for the Maintenance of Self-Renewal and Chemoresistance in Renal Cancer Stem Cells. Stem Cell Reports. 9(2). 464–477. 45 indexed citations
17.
Chen, Ke, Haibing Xiao, Jin Zeng, et al.. (2016). Alternative Splicing of EZH2 pre-mRNA by SF3B3 Contributes to the Tumorigenic Potential of Renal Cancer. Clinical Cancer Research. 23(13). 3428–3441. 81 indexed citations
18.
Schokrpur, Shiruyeh, Junhui Hu, Diana Moughon, et al.. (2016). CRISPR-Mediated VHL Knockout Generates an Improved Model for Metastatic Renal Cell Carcinoma. Scientific Reports. 6(1). 29032–29032. 46 indexed citations
19.
Liu, Hongfang, Run Wu, Zhuo Huang, et al.. (2007). Characteristics and photocatalytic effects of Zn/ZnO nanowhiskers compared with ZnO nanoparticles. Journal of Wuhan University of Technology-Mater Sci Ed. 22(4). 643–648. 3 indexed citations
20.
Xia, Xianping, Shuizhou Cai, Junhui Hu, & Changsheng Xie. (2006). Water absorption characteristics of novel Cu/LDPE nanocomposite for use in intrauterine devices. Journal of Biomedical Materials Research Part B Applied Biomaterials. 79B(2). 345–352. 13 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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