Jia Zhu

1.7k total citations
31 papers, 1.3k citations indexed

About

Jia Zhu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jia Zhu has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Jia Zhu's work include RNA Research and Splicing (10 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (6 papers). Jia Zhu is often cited by papers focused on RNA Research and Splicing (10 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (6 papers). Jia Zhu collaborates with scholars based in China, Germany and United States. Jia Zhu's co-authors include Gunter Meister, Michaela Beitzinger, Elisabeth Kremmer, Stephanie Barth, Friedrich A. Grässer, Natalie Motsch, John M. Nicholls, Thorsten Pfuhl, Ulrich Mahlknecht and Peter H. Krammer and has published in prestigious journals such as Nucleic Acids Research, The EMBO Journal and Blood.

In The Last Decade

Jia Zhu

31 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia Zhu China 17 882 654 271 152 104 31 1.3k
Chris Zhiyi Zhang China 25 981 1.1× 495 0.8× 282 1.0× 157 1.0× 105 1.0× 43 1.5k
Arthur K. Ching Hong Kong 17 965 1.1× 622 1.0× 190 0.7× 238 1.6× 83 0.8× 20 1.4k
Xinhui Fu China 20 793 0.9× 448 0.7× 366 1.4× 78 0.5× 214 2.1× 40 1.2k
Danhui Weng China 22 926 1.0× 471 0.7× 492 1.8× 97 0.6× 113 1.1× 41 1.5k
Maria R. Muroni Italy 24 1.1k 1.2× 433 0.7× 441 1.6× 189 1.2× 191 1.8× 62 1.6k
Christian Kuntzen United States 13 771 0.9× 300 0.5× 389 1.4× 240 1.6× 122 1.2× 15 1.3k
Ming Tang China 22 1.1k 1.2× 283 0.4× 300 1.1× 235 1.5× 66 0.6× 61 1.6k
Zhongguang Luo China 17 670 0.8× 265 0.4× 277 1.0× 215 1.4× 39 0.4× 39 1.1k
Tony W.H. Li United States 27 1.3k 1.4× 364 0.6× 238 0.9× 223 1.5× 109 1.0× 35 1.8k
Guiyu Lou China 15 630 0.7× 339 0.5× 308 1.1× 190 1.3× 45 0.4× 33 1.1k

Countries citing papers authored by Jia Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Jia Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Zhu. A scholar is included among the top collaborators of Jia Zhu 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 Jia Zhu. Jia Zhu 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, Jinke, et al.. (2021). Clinicopathological significance of epidermal growth factor receptor expression in papillary thyroid carcinoma: a meta-analysis. Minerva Endocrinology. 49(2). 175–181. 3 indexed citations
2.
3.
Gu, Changjiang, et al.. (2021). Study of effects of anthracycline drugs on myocardial function in breast cancer patients by quantitative analysis of layer-specific strain via 2D-STI technology.. PubMed. 13(3). 1184–1196. 1 indexed citations
4.
Yang, Zhijian, et al.. (2019). AMMECR1 Inhibits Apoptosis and Promotes Cell-cycle Progression and Proliferation of the A549 Human Lung Cancer Cell Line. Anticancer Research. 39(9). 4637–4642. 7 indexed citations
5.
Zhu, Jia, Xingshun Qi, Eric M. Yoshida, et al.. (2018). Association of proton pump inhibitors with the risk of hepatic encephalopathy during hospitalization for liver cirrhosis. United European Gastroenterology Journal. 6(8). 1179–1187. 26 indexed citations
6.
Zheng, Guoliang, Jia Zhu, Yan Zhao, et al.. (2018). [Clinical value of endoscopicultrsaonography and multi-slice spiral CT in Siewert Ⅱand Ⅲ type adenocarcinoma of esophagogastric junction].. PubMed. 40(3). 191–195. 1 indexed citations
7.
Li, Miaomiao, et al.. (2018). Prevalence of CALR mutations in splanchnic vein thrombosis: A systematic review and meta-analysis. Thrombosis Research. 167. 96–103. 20 indexed citations
8.
Liu, Tianhua, Wei Wei, Kun Guo, et al.. (2016). Novel interacting proteins identified by tandem affinity purification coupled to nano LC–MS/MS interact with ribosomal S6 protein kinase 4 (RSK4) and its variant protein (RSK4m). International Journal of Biological Macromolecules. 96. 421–428. 9 indexed citations
9.
Wang, Yayun, Liang Li, Jianguo Zhang, et al.. (2015). Sam68 promotes cellular proliferation and predicts poor prognosis in esophageal squamous cell carcinoma. Tumor Biology. 36(11). 8735–8745. 8 indexed citations
10.
Zhu, Jia, Yingying Wang, Qichang Yang, et al.. (2015). Upregulation of KPNβ1 in gastric cancer cell promotes tumor cell proliferation and predicts poor prognosis. Tumor Biology. 37(1). 661–672. 24 indexed citations
11.
Li, Linlin, et al.. (2015). Association of 8q23-24 region (8q23.3 loci and 8q24.21 loci) with susceptibility to colorectal cancer: a systematic and updated meta-analysis.. PubMed. 8(11). 21001–13. 13 indexed citations
12.
Xu, Pan, Xiubing Zhang, Wenkai Ni, et al.. (2015). Upregulated HOXC8 Expression Is Associated with Poor Prognosis and Oxaliplatin Resistance in Hepatocellular Carcinoma. Digestive Diseases and Sciences. 60(11). 3351–3363. 24 indexed citations
13.
Gu, Xiaoling, Yingying Wang, Hua Wang, et al.. (2015). Upregulated PFTK1 promotes tumor cell proliferation, migration, and invasion in breast cancer. Medical Oncology. 32(7). 195–195. 27 indexed citations
14.
Zhu, Jia, Qiuyun Li, Jianlun Liu, et al.. (2015). RSK4 knockdown promotes proliferation, migration and metastasis of human breast adenocarcinoma cells. Oncology Reports. 34(6). 3156–3162. 20 indexed citations
15.
Zhu, Junya, Lili Ji, Jianguo Zhang, et al.. (2014). Upregulation of SYF2 in esophageal squamous cell carcinoma promotes tumor cell proliferation and predicts poor prognosis. Tumor Biology. 35(10). 10275–10285. 5 indexed citations
16.
Schraivogel, Daniel, Lasse Weinmann, Dagmar Beier, et al.. (2011). CAMTA1 is a novel tumour suppressor regulated by miR‐9/9* in glioblastoma stem cells. The EMBO Journal. 30(20). 4309–4322. 124 indexed citations
17.
Imig, Jochen, Natalie Motsch, Jia Zhu, et al.. (2010). microRNA profiling in Epstein–Barr virus-associated B-cell lymphoma. Nucleic Acids Research. 39(5). 1880–1893. 127 indexed citations
18.
Piskol, Robert, Michaela Beitzinger, Jia Zhu, et al.. (2010). The small RNA expression profile of the developing murine urinary and reproductive systems. FEBS Letters. 584(21). 4426–4434. 17 indexed citations
19.
Zhu, Jia, Inna N. Lavrik, Ulrich Mahlknecht, et al.. (2007). The traditional Chinese herbal compound rocaglamide preferentially induces apoptosis in leukemia cells by modulation of mitogen‐activated protein kinase activities. International Journal of Cancer. 121(8). 1839–1846. 86 indexed citations
20.
Beitzinger, Michaela, et al.. (2007). Identification of Human microRNA Targets From Isolated Argonaute Protein Complexes. RNA Biology. 4(2). 76–84. 233 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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