Jinghui Hou

466 total citations
22 papers, 393 citations indexed

About

Jinghui Hou is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Jinghui Hou has authored 22 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Cancer Research and 9 papers in Molecular Biology. Recurrent topics in Jinghui Hou's work include RNA modifications and cancer (6 papers), Cancer-related Molecular Pathways (5 papers) and Cancer-related molecular mechanisms research (3 papers). Jinghui Hou is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer-related Molecular Pathways (5 papers) and Cancer-related molecular mechanisms research (3 papers). Jinghui Hou collaborates with scholars based in China, Hong Kong and Sweden. Jinghui Hou's co-authors include Jing Huang, Tiantuo Zhang, Xiaodong Li, Benquan Wu, Hongtao Li, Ye Jin, Hui Liu, Qiuliang Wu, Yi‐Xin Zeng and Hai‐Qiang Mai and has published in prestigious journals such as Cancer Letters, Cancer Science and Lung Cancer.

In The Last Decade

Jinghui Hou

21 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
Jinghui Hou China 10 219 148 119 103 53 22 393
Takahiro Ohmachi Japan 5 161 0.7× 246 1.7× 84 0.7× 88 0.9× 47 0.9× 10 405
Giuseppe Celesti Italy 12 300 1.4× 120 0.8× 199 1.7× 81 0.8× 47 0.9× 16 551
Wende Kozlow United States 7 327 1.5× 196 1.3× 65 0.5× 63 0.6× 64 1.2× 9 494
Koki Maeda Japan 10 283 1.3× 209 1.4× 116 1.0× 104 1.0× 70 1.3× 35 471
Anna Kruczak Poland 12 211 1.0× 158 1.1× 52 0.4× 111 1.1× 125 2.4× 36 464
Nahir Cortes‐Santiago United States 10 147 0.7× 292 2.0× 111 0.9× 126 1.2× 68 1.3× 30 508
Fátima Solange Pasini Brazil 13 165 0.8× 223 1.5× 63 0.5× 157 1.5× 50 0.9× 31 444
Eva Maria Murga Penas Germany 14 247 1.1× 182 1.2× 111 0.9× 58 0.6× 22 0.4× 31 550
Olivier Léger United Kingdom 8 108 0.5× 228 1.5× 101 0.8× 57 0.6× 28 0.5× 13 428

Countries citing papers authored by Jinghui Hou

Since Specialization
Citations

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

Fields of papers citing papers by Jinghui Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinghui Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Jinghui Hou. A scholar is included among the top collaborators of Jinghui Hou 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 Jinghui Hou. Jinghui Hou 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.
Chao, Xue, Julia Y. Tsang, Gary M. Tse, et al.. (2021). Clinicopathologic and genetic features of metaplastic breast cancer with osseous differentiation: a series of 6 cases. Breast Cancer. 28(5). 1100–1111. 5 indexed citations
2.
Hou, Jingying, Lingyun Wang, Jinghui Hou, et al.. (2015). Peroxisome Proliferator-Activated Receptor Gamma Promotes Mesenchymal Stem Cells to Express Connexin43 via the Inhibition of TGF-β1/Smads Signaling in a Rat Model of Myocardial Infarction. Stem Cell Reviews and Reports. 11(6). 885–899. 23 indexed citations
3.
Shi, Dingbo, Jing‐Ping Yun, Yan‐Ping Mao, et al.. (2014). Friend Leukemia Virus Integration 1 Expression Has Prognostic Significance in Nasopharyngeal Carcinoma. Translational Oncology. 7(4). 493–502. 11 indexed citations
4.
Liu, Hui, Tian-tuo Zhang, Jin Ye, et al.. (2012). TNF receptor-associated factor 6 in advanced non-small cell lung cancer: clinical and prognostic implications. Journal of Cancer Research and Clinical Oncology. 138(11). 1853–1863. 9 indexed citations
5.
Liu, Hui, Tiantuo Zhang, Ye Jin, et al.. (2012). Tumor-infiltrating lymphocytes predict response to chemotherapy in patients with advance non-small cell lung cancer. Cancer Immunology Immunotherapy. 61(10). 1849–1856. 113 indexed citations
7.
Hou, Jinghui, et al.. (2009). [Survivin and COX-2 expressions in giant cell tumor of bone and their relation to the prognosis].. PubMed. 29(1). 156–9. 1 indexed citations
8.
Liu, Hui, Tiantuo Zhang, Jing Huang, et al.. (2008). Predictive value of MMP‐7 expression for response to chemotherapy and survival in patients with non‐small cell lung cancer. Cancer Science. 99(11). 2185–2192. 43 indexed citations
9.
Cai, Zhe, et al.. (2007). [Expression and clinical significance of uPA and PAI-1 in epithelial ovarian cancer].. PubMed. 26(3). 312–7. 7 indexed citations
10.
Zhang, Guihong, Jinghui Hou, Weidong Zhu, et al.. (2006). [Comparision of HER2/neu oncogene detected by chromogenic in-situ hybridization and immunohistochemistry in breast cancer].. PubMed. 35(10). 580–3. 1 indexed citations
11.
Jia, Haiying, et al.. (2006). [The clinical significance of the expression of p63 gene in laryngeal squamous cell carcinoma].. PubMed. 20(3). 119–21. 3 indexed citations
12.
Wang, Daofeng, et al.. (2006). [Expression and clinical significance of apoptosis-related oncogenes in stage I-II non-small cell lung cancer].. PubMed. 25(3). 359–62. 4 indexed citations
13.
Wang, Na, Qiuliang Wu, Yan Fang, et al.. (2005). Expression of chemokine receptor CXCR4 in nasopharyngeal carcinoma: pattern of expression and correlation with clinical outcome. Journal of Translational Medicine. 3(1). 26–26. 49 indexed citations
14.
Huang, Xiaoping, Peng Lin, Guangyu Yao, et al.. (2005). Cyclin D1 overexpression in esophageal cancer from southern China and its clinical significance. Cancer Letters. 231(1). 94–101. 17 indexed citations
15.
Peng, Hanwei, et al.. (2003). [Inducible nitric oxide synthase and basic fibroblast growth factor expression as prognostic factors in supraglottic squamous cell carcinoma].. PubMed. 22(9). 978–81. 2 indexed citations
16.
Xia, Liangping, et al.. (2003). [Correlation between prognosis and the expression of eukaryotic translation initiation factor 4E in surgical margin specimen of laryngeal squamous cell carcinoma].. PubMed. 38(2). 139–42. 2 indexed citations
17.
Zhang, Linjie, Yan Fang, Bi‐Jun Huang, et al.. (2002). Rapid tissue microarray assay of p16 protein expression for different stage nasopharyngeal carcinoma.. PubMed. 31(2). 132–4. 6 indexed citations
18.
Shao, Jian‐Yong, Yuhong Li, Qiuliang Wu, et al.. (2002). High frequency loss of heterozygosity on the long arms of chromosomes 13 and 14 in nasopharyngeal carcinoma in Southern China.. PubMed. 115(4). 571–5. 25 indexed citations
19.
Shao, Jian‐Yong, et al.. (2000). Deletion of chromosomes 9p and 17 associated with abnormal expression of p53, p16/MTS1 and p15/MTS2 gene protein in hepatocellular carcinomas.. PubMed. 113(9). 817–22. 15 indexed citations
20.
Guo, Xiang, Hua-Qing Min, Jian‐Yong Shao, & Jinghui Hou. (1998). Expression of nm23-H1 gene product in nasopharyngeal carcinoma and its clinical significance. Chinese Journal of Cancer Research. 10(1). 49–53. 1 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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