Xi Tang

2.5k total citations
53 papers, 1.6k citations indexed

About

Xi Tang is a scholar working on Molecular Biology, Cancer Research and Nephrology. According to data from OpenAlex, Xi Tang has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Cancer Research and 14 papers in Nephrology. Recurrent topics in Xi Tang's work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers) and DNA Repair Mechanisms (5 papers). Xi Tang is often cited by papers focused on MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers) and DNA Repair Mechanisms (5 papers). Xi Tang collaborates with scholars based in China, United States and Thailand. Xi Tang's co-authors include Manran Liu, Yixuan Hou, Siyang Wen, Gang Tu, Yan-e Du, Hailong Zhang, Liyun Xu, Shifu Tang, Xiaojiang Cui and Zongyue Zeng and has published in prestigious journals such as Nature Communications, Molecular Cell and PLoS ONE.

In The Last Decade

Xi Tang

51 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xi Tang China 22 972 562 388 192 175 53 1.6k
Hongfei Ji China 21 664 0.7× 308 0.5× 335 0.9× 78 0.4× 248 1.4× 60 1.3k
Gengyin Zhou China 26 1.0k 1.0× 366 0.7× 545 1.4× 51 0.3× 99 0.6× 61 1.8k
Chunyan Gu China 24 1.5k 1.5× 678 1.2× 295 0.8× 59 0.3× 142 0.8× 93 2.3k
Hongtao Lu China 18 747 0.8× 246 0.4× 283 0.7× 54 0.3× 375 2.1× 65 1.6k
Seiji Inoshita Japan 19 1.0k 1.1× 137 0.2× 184 0.5× 163 0.8× 142 0.8× 38 1.5k
Hanning You United States 14 494 0.5× 159 0.3× 282 0.7× 196 1.0× 189 1.1× 18 1.1k
Yumi Takiyama Japan 21 584 0.6× 251 0.4× 218 0.6× 174 0.9× 151 0.9× 48 1.4k
Yaxi Chen China 18 867 0.9× 544 1.0× 184 0.5× 120 0.6× 290 1.7× 50 1.9k
Gexin Zhao China 16 477 0.5× 170 0.3× 252 0.6× 199 1.0× 171 1.0× 34 1.1k
Sawako Suzuki Japan 21 684 0.7× 531 0.9× 249 0.6× 88 0.5× 118 0.7× 58 1.7k

Countries citing papers authored by Xi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xi Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Tang. A scholar is included among the top collaborators of Xi Tang 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 Xi Tang. Xi Tang 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.
Zeng, Ting, et al.. (2024). FGF19 Promotes the Proliferation and Insulin Secretion from Human Pancreatic β Cells Via the IRS1/GLUT4 Pathway. Experimental and Clinical Endocrinology & Diabetes. 132(3). 152–161. 2 indexed citations
2.
3.
Yuan, Yujia, Longhui Yuan, Fei Liu, et al.. (2024). Autophagy-deficient macrophages exacerbate cisplatin-induced mitochondrial dysfunction and kidney injury via miR-195a-5p-SIRT3 axis. Nature Communications. 15(1). 4383–4383. 31 indexed citations
4.
Qiu, Yuxiang, Xing Wang, Yan Sun, et al.. (2023). TCF12 regulates exosome release from epirubicin-treated CAFs to promote ER+ breast cancer cell chemoresistance. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1869(6). 166727–166727. 8 indexed citations
5.
Yuan, Yujia, Lan Li, Lingling Zhu, et al.. (2020). Mesenchymal stem cells elicit macrophages into M2 phenotype via improving transcription factor EB-mediated autophagy to alleviate diabetic nephropathy. Stem Cells. 38(5). 639–652. 50 indexed citations
6.
Duan, Xiaobo, Xiaolei Chen, Megha Gupta, et al.. (2020). Salivary microbiome in patients undergoing hemodialysis and its associations with the duration of the dialysis. BMC Nephrology. 21(1). 414–414. 16 indexed citations
7.
Tang, Xi, Gang Tu, Guanglun Yang, et al.. (2019). Autocrine TGF-β1/miR-200s/miR-221/DNMT3B regulatory loop maintains CAF status to fuel breast cancer cell proliferation. Cancer Letters. 452. 79–89. 60 indexed citations
8.
Wang, Yi‐Ting, Junlin Zhang, Jie Zhang, et al.. (2018). COL4A3 Gene Variants and Diabetic Kidney Disease in MODY. Clinical Journal of the American Society of Nephrology. 13(8). 1162–1171. 20 indexed citations
9.
Li, Lingzhi, Xi Tang, Sehee Kim, et al.. (2018). Effect of nocturnal hemodialysis on sleep parameters in patients with end-stage renal disease: a systematic review and meta-analysis. PLoS ONE. 13(9). e0203710–e0203710. 7 indexed citations
10.
Yang, Yan, Shi Qiu, Xi Tang, et al.. (2018). Efficacy and Safety of Different Bisphosphonates for Bone Loss Prevention in Kidney Transplant Recipients. Chinese Medical Journal. 131(7). 818–828. 2 indexed citations
11.
12.
Yang, Jiajia, Yixuan Hou, Mingli Zhou, et al.. (2015). Twist induces epithelial-mesenchymal transition and cell motility in breast cancer via ITGB1-FAK/ILK signaling axis and its associated downstream network. The International Journal of Biochemistry & Cell Biology. 71. 62–71. 83 indexed citations
13.
Xiong, Jiachuan, Xi Tang, Zhangxue Hu, et al.. (2015). The RIFLE versus AKIN classification for incidence and mortality of acute kidney injury in critical ill patients: A meta-analysis. Scientific Reports. 5(1). 17917–17917. 29 indexed citations
14.
Zhao, Liuyang, Na Yu, Yixuan Hou, et al.. (2014). Tissue Biomarkers for Prognosis of Prostate Cancer: A Systematic Review and Meta-analysis. Cancer Epidemiology Biomarkers & Prevention. 23(6). 1047–1054. 33 indexed citations
15.
Zeng, Zongyue, Jiangen Wang, Liuyang Zhao, et al.. (2013). Potential Role of microRNA-21 in the Diagnosis of Gastric Cancer: A Meta-Analysis. PLoS ONE. 8(9). e73278–e73278. 54 indexed citations
16.
Yang, Xiaorong, Zongyue Zeng, Zongyue Zeng, et al.. (2013). Diagnostic value of bladder tumor fibronectin in patients with bladder tumor: A systematic review with meta-analysis. Clinical Biochemistry. 46(15). 1377–1382. 12 indexed citations
17.
Wang, Liyang, Yixuan Hou, Yan Sun, et al.. (2013). c‐Ski activates cancer‐associated fibroblasts to regulate breast cancer cell invasion. Molecular Oncology. 7(6). 1116–1128. 42 indexed citations
18.
Zhao, Liuyang, Yan Sun, Yixuan Hou, et al.. (2012). MiRNA expression analysis of cancer-associated fibroblasts and normal fibroblasts in breast cancer. The International Journal of Biochemistry & Cell Biology. 44(11). 2051–2059. 104 indexed citations
19.
Tang, Xi, et al.. (2008). A Novel ATM-Dependent Pathway Regulates Protein Phosphatase 1 in Response to DNA Damage. Molecular and Cellular Biology. 28(8). 2559–2566. 58 indexed citations
20.
Geng, Chuan-dong, et al.. (2004). Molecular Cloning and Characterization of the Catalytic Domain of Zebrafish Homologue of the Ataxia-Telangiectasia Mutated Gene. Molecular Cancer Research. 2(6). 348–353. 5 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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