Hong‐Ti Jia

1.1k total citations
39 papers, 915 citations indexed

About

Hong‐Ti Jia is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Hong‐Ti Jia has authored 39 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 16 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Hong‐Ti Jia's work include RNA modifications and cancer (10 papers), Cancer-related Molecular Pathways (10 papers) and DNA Repair Mechanisms (9 papers). Hong‐Ti Jia is often cited by papers focused on RNA modifications and cancer (10 papers), Cancer-related Molecular Pathways (10 papers) and DNA Repair Mechanisms (9 papers). Hong‐Ti Jia collaborates with scholars based in China, United States and Canada. Hong‐Ti Jia's co-authors include Ju‐Hua Ni, Guo‐Shun An, Shuyan Li, Zhongjun Liu, Chunli Song, Zhongqiang Chen, Qingjun Ma, Gengting Dang, Zhaoqing Guo and Changlong Yu and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Free Radical Biology and Medicine.

In The Last Decade

Hong‐Ti Jia

39 papers receiving 902 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong‐Ti Jia China 17 617 223 165 156 71 39 915
Wanning Hu China 18 504 0.8× 229 1.0× 118 0.7× 143 0.9× 45 0.6× 52 868
Liqin Xu China 19 909 1.5× 165 0.7× 105 0.6× 235 1.5× 51 0.7× 50 1.4k
Jun Chang China 21 550 0.9× 318 1.4× 152 0.9× 177 1.1× 30 0.4× 73 1.2k
Qiang Jie China 15 395 0.6× 133 0.6× 103 0.6× 96 0.6× 110 1.5× 50 704
Hark Kyun Kim South Korea 13 830 1.3× 313 1.4× 124 0.8× 72 0.5× 57 0.8× 21 1.1k
Fujio Okamoto Japan 16 859 1.4× 279 1.3× 331 2.0× 54 0.3× 95 1.3× 28 1.2k
T. Sunyer United States 18 498 0.8× 110 0.5× 193 1.2× 112 0.7× 67 0.9× 29 1.0k
Renpeng Zhou China 19 679 1.1× 230 1.0× 82 0.5× 88 0.6× 29 0.4× 68 1.2k
Rui Bai China 18 596 1.0× 321 1.4× 106 0.6× 113 0.7× 39 0.5× 78 994
Dahui Sun China 15 415 0.7× 94 0.4× 170 1.0× 108 0.7× 39 0.5× 39 937

Countries citing papers authored by Hong‐Ti Jia

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Ti Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Ti Jia. 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 Hong‐Ti Jia. The network helps show where Hong‐Ti Jia may publish in the future.

Co-authorship network of co-authors of Hong‐Ti Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Ti Jia. A scholar is included among the top collaborators of Hong‐Ti Jia 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 Hong‐Ti Jia. Hong‐Ti Jia 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.
Cao, Jiashun, Qiu Li, Lifan Zhang, et al.. (2023). ZFP36 loss-mediated BARX1 stabilization promotes malignant phenotypes by transactivating master oncogenes in NSCLC. Cell Death and Disease. 14(8). 527–527. 9 indexed citations
2.
Jia, Hong‐Ti, et al.. (2021). The m6A methyltransferase METTL3 modifies PGC-1α mRNA promoting mitochondrial dysfunction and oxLDL-induced inflammation in monocytes. Journal of Biological Chemistry. 297(3). 101058–101058. 96 indexed citations
3.
Cao, Jiashun, Qiu Li, Guo‐Shun An, et al.. (2020). A Systematic Analysis of Dysregulated Long Non-Coding RNAs/microRNAs/mRNAs in Lung Squamous Cell Carcinoma. The American Journal of the Medical Sciences. 360(6). 701–710. 1 indexed citations
4.
Yang, Shengyong, Yi Li, Guo‐Shun An, et al.. (2018). DNA Damage-Response Pathway Heterogeneity of Human Lung Cancer A549 and H1299 Cells Determines Sensitivity to 8-Chloro-Adenosine. International Journal of Molecular Sciences. 19(6). 1587–1587. 14 indexed citations
5.
Wang, Xianhui, Yao Lu, Jingjing Liang, et al.. (2016). MiR-509-3-5p causes aberrant mitosis and anti-proliferative effect by suppression of PLK1 in human lung cancer A549 cells. Biochemical and Biophysical Research Communications. 478(2). 676–682. 21 indexed citations
6.
Liu, Ling, Guo‐Shun An, Shuyan Li, et al.. (2014). E2F1 regulates p53R2 gene expression in p53-deficient cells. Molecular and Cellular Biochemistry. 399(1-2). 179–188. 11 indexed citations
7.
Jin, Yaqiong, Guo‐Shun An, Ju‐Hua Ni, Shuyan Li, & Hong‐Ti Jia. (2014). ATM-dependent E2F1 accumulation in the nucleolus is an indicator of ribosomal stress in early response to DNA damage. Cell Cycle. 13(10). 1627–1638. 11 indexed citations
8.
Cui, Lei, Chao Gao, Ruidong Zhang, et al.. (2014). Low expressions of ARS2 and CASP8AP2 predict relapse and poor prognosis in pediatric acute lymphoblastic leukemia patients treated on China CCLG-ALL 2008 protocol. Leukemia Research. 39(2). 115–123. 13 indexed citations
9.
Han, Yuying, Zhe Zhou, Yaqiong Jin, et al.. (2013). E2F1-mediated DNA damage is implicated in 8-Cl-adenosine-induced chromosome missegregation and apoptosis in human lung cancer H1299 cells. Molecular and Cellular Biochemistry. 384(1-2). 187–196. 3 indexed citations
10.
Yu, Na, Peiwei Huangyang, Xiaohan Yang, et al.. (2013). microRNA-7 Suppresses the Invasive Potential of Breast Cancer Cells and Sensitizes Cells to DNA Damages by Targeting Histone Methyltransferase SET8. Journal of Biological Chemistry. 288(27). 19633–19642. 42 indexed citations
11.
Duan, Hongying, Guosheng Wu, Shuyan Li, et al.. (2012). E2F1 enhances 8-Chloro-adenosine-induced G2/M arrest and apoptosis in A549 and H1299 lung cancer cells. Biochemistry (Moscow). 77(3). 261–269. 4 indexed citations
12.
Du, Chao, Yaqiong Jin, Shuyan Li, et al.. (2012). Effects of Myogenin on Expression of Late Muscle Genes through MyoD-Dependent Chromatin Remodeling Ability of Myogenin. Molecules and Cells. 34(2). 133–142. 20 indexed citations
13.
Ma, Yongchao, et al.. (2011). The non-receptor tyrosine kinase c-Src mediates the PDGF-induced association between Furin and pro-MT1-MMP in HPAC pancreatic cells. Molecular and Cellular Biochemistry. 362(1-2). 65–70. 4 indexed citations
14.
15.
Zhang, Haijun, Wenjuan Li, Shengyong Yang, et al.. (2008). 8‐chloro‐adenosine‐induced E2F1 promotes p14ARF gene activation in H1299 cells through displacing Sp1 from multiple overlapping E2F1/Sp1 sites. Journal of Cellular Biochemistry. 106(3). 464–472. 15 indexed citations
16.
Gao, Xuejun, et al.. (2007). [Immunohistochemical localization of enamelin in developing rat tooth germ].. PubMed. 39(1). 37–40. 1 indexed citations
18.
Zang, Ming‐Xi, et al.. (2004). Cooperative activation of atrial naturetic peptide promoter by dHAND and MEF2C. Journal of Cellular Biochemistry. 93(6). 1255–1266. 31 indexed citations
19.
Zang, Ming‐Xi, Yong Li, Hao Wang, Junbo Wang, & Hong‐Ti Jia. (2004). Cooperative Interaction between the Basic Helix-loop-helix Transcription Factor dHAND and Myocyte Enhancer Factor 2C Regulates Myocardial Gene Expression. Journal of Biological Chemistry. 279(52). 54258–54263. 22 indexed citations
20.
Zhang, Hongyu, Yanyan Gu, Lan Yuan, et al.. (2004). Exposure of Human Lung Cancer Cells to 8-Chloro-Adenosine Induces G2/M Arrest and Mitotic Catastrophe. Neoplasia. 6(6). 802–812. 33 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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