Ju‐Hua Ni

1.0k total citations
34 papers, 766 citations indexed

About

Ju‐Hua Ni is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ju‐Hua Ni has authored 34 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 11 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Ju‐Hua Ni's work include DNA Repair Mechanisms (9 papers), Cancer-related Molecular Pathways (9 papers) and RNA modifications and cancer (7 papers). Ju‐Hua Ni is often cited by papers focused on DNA Repair Mechanisms (9 papers), Cancer-related Molecular Pathways (9 papers) and RNA modifications and cancer (7 papers). Ju‐Hua Ni collaborates with scholars based in China, United States and Japan. Ju‐Hua Ni's co-authors include Hong‐Ti Jia, Guo‐Shun An, Shuyan Li, Li‐Ling Wu, Yuedan Wang, Yun Wang, Weiguang Zhang, Wang Xian, Yu‐Ming Kang and Pengxia Zhang 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

Ju‐Hua Ni

34 papers receiving 747 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ju‐Hua Ni China 16 454 124 112 74 54 34 766
Li‐Chuan Chung Taiwan 18 454 1.0× 129 1.0× 138 1.2× 55 0.7× 54 1.0× 27 791
Jiaying Yang China 18 267 0.6× 50 0.4× 66 0.6× 22 0.3× 97 1.8× 57 869
Vahideh Hassan‐Zadeh Iran 12 595 1.3× 87 0.7× 49 0.4× 33 0.4× 65 1.2× 22 885
Seong Yong Kim South Korea 15 375 0.8× 67 0.5× 77 0.7× 7 0.1× 115 2.1× 62 758
Ju Cui China 15 273 0.6× 33 0.3× 64 0.6× 16 0.2× 87 1.6× 50 627
Xiaodan Yu China 16 428 0.9× 142 1.1× 75 0.7× 19 0.3× 25 0.5× 38 771
Farnaz Zahedi Avval Iran 13 350 0.8× 42 0.3× 70 0.6× 12 0.2× 23 0.4× 37 613
George Dunaway United States 21 811 1.8× 383 3.1× 27 0.2× 61 0.8× 207 3.8× 49 1.4k
Qing Qiu Canada 18 311 0.7× 93 0.8× 121 1.1× 15 0.2× 36 0.7× 43 849
Fei Pei China 21 666 1.5× 183 1.5× 103 0.9× 5 0.1× 92 1.7× 65 1.1k

Countries citing papers authored by Ju‐Hua Ni

Since Specialization
Citations

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

Fields of papers citing papers by Ju‐Hua Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju‐Hua Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Ju‐Hua Ni. A scholar is included among the top collaborators of Ju‐Hua Ni 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 Ju‐Hua Ni. Ju‐Hua Ni 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.
Li, Shuyan, et al.. (2014). E2F1-regulated DROSHA promotes miR-630 biosynthesis in cisplatin-exposed cancer cells. Biochemical and Biophysical Research Communications. 450(1). 470–475. 14 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.
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
11.
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
12.
Zhao, Ningning, Jiuxiang Lin, Hiroyuki Kanzaki, et al.. (2011). Local osteoprotegerin gene transfer inhibits relapse of orthodontic tooth movement. American Journal of Orthodontics and Dentofacial Orthopedics. 141(1). 30–40. 30 indexed citations
13.
Zhong, Zibiao, et al.. (2011). Comparison of the biological response of osteoblasts after tension and compression. European Journal of Orthodontics. 35(1). 59–65. 29 indexed citations
14.
15.
Li, Shuyan, et al.. (2009). Stabilization of mitochondrial function by tetramethylpyrazine protects against kainate-induced oxidative lesions in the rat hippocampus. Free Radical Biology and Medicine. 48(4). 597–608. 72 indexed citations
16.
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
17.
Yang, Shengyong, Jing Zhou, Shuyan Li, et al.. (2008). Inhibition of CHK1 kinase by Gö6976 converts 8-chloro-adenosine-induced G2/M arrest into S arrest in human myelocytic leukemia K562 cells. Biochemical Pharmacology. 77(5). 770–780. 17 indexed citations
18.
Zhang, Pengxia, Hongmei Li, Dong Chen, et al.. (2007). Oleanolic Acid Induces Apoptosis in Human Leukemia Cells through Caspase Activation and Poly(ADP-ribose) Polymerase Cleavage. Acta Biochimica et Biophysica Sinica. 39(10). 803–809. 68 indexed citations
19.
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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