Xuanmao Jiao

4.4k total citations
58 papers, 3.0k citations indexed

About

Xuanmao Jiao is a scholar working on Oncology, Molecular Biology and Cell Biology. According to data from OpenAlex, Xuanmao Jiao has authored 58 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Oncology, 35 papers in Molecular Biology and 9 papers in Cell Biology. Recurrent topics in Xuanmao Jiao's work include Cancer-related Molecular Pathways (19 papers), Cancer Cells and Metastasis (13 papers) and Chemokine receptors and signaling (7 papers). Xuanmao Jiao is often cited by papers focused on Cancer-related Molecular Pathways (19 papers), Cancer Cells and Metastasis (13 papers) and Chemokine receptors and signaling (7 papers). Xuanmao Jiao collaborates with scholars based in United States, China and Australia. Xuanmao Jiao's co-authors include Richard G. Pestell, Michael P. Lisanti, Sanjay Katiyar, Chenguang Wang, Manran Liu, Zhiping Li, Xiaoming Ju, Timothy G. Pestell, Mathew C. Casimiro and Adam Ertel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Xuanmao Jiao

57 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuanmao Jiao United States 30 1.8k 1.3k 655 540 342 58 3.0k
Yiyu Zou United States 23 2.5k 1.4× 1.3k 0.9× 666 1.0× 616 1.1× 213 0.6× 51 3.6k
Chia‐Hsin Chan United States 27 3.1k 1.7× 1.2k 0.9× 741 1.1× 291 0.5× 412 1.2× 39 3.8k
Stefania D’Atri Italy 33 2.2k 1.2× 1.2k 0.9× 746 1.1× 384 0.7× 244 0.7× 117 3.2k
Antje Menssen Germany 20 2.3k 1.3× 814 0.6× 1.3k 1.9× 538 1.0× 170 0.5× 31 3.3k
Katherine M. Aird United States 29 2.1k 1.2× 659 0.5× 658 1.0× 406 0.8× 131 0.4× 58 3.0k
Thomas Ludwig United States 31 2.5k 1.4× 1.5k 1.1× 670 1.0× 379 0.7× 279 0.8× 45 3.5k
Juan Fernando Martínez-Leal Spain 28 2.6k 1.5× 1.5k 1.1× 784 1.2× 266 0.5× 292 0.9× 56 3.6k
Dimitris Athineos United Kingdom 26 2.6k 1.4× 1.2k 0.9× 996 1.5× 445 0.8× 330 1.0× 36 3.7k
Agustin Chicas United States 19 3.4k 1.9× 1.1k 0.9× 911 1.4× 605 1.1× 182 0.5× 20 4.6k
Lixin Wan United States 37 3.5k 1.9× 1.3k 1.0× 746 1.1× 450 0.8× 783 2.3× 66 4.3k

Countries citing papers authored by Xuanmao Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Xuanmao Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuanmao Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Xuanmao Jiao. A scholar is included among the top collaborators of Xuanmao Jiao 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 Xuanmao Jiao. Xuanmao Jiao 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.
Jiao, Xuanmao, Lifeng Tian, Zhao Zhang, et al.. (2021). Pparγ1 Facilitates ErbB2-Mammary Adenocarcinoma in Mice. Cancers. 13(9). 2171–2171. 4 indexed citations
2.
Chen, Ke, Xuanmao Jiao, Anthony W. Ashton, et al.. (2020). The membrane-associated form of cyclin D1 enhances cellular invasion. Oncogenesis. 9(9). 83–83. 21 indexed citations
3.
Casimiro, Mathew C., Gabriele Di Sante, Agnese Di Rocco, et al.. (2017). Cyclin D1 Restrains Oncogene-Induced Autophagy by Regulating the AMPK–LKB1 Signaling Axis. Cancer Research. 77(13). 3391–3405. 51 indexed citations
4.
Jiao, Xuanmao, Adam Ertel, Mathew C. Casimiro, et al.. (2016). v-Src Oncogene Induces Trop2 Proteolytic Activation via Cyclin D1. Cancer Research. 76(22). 6723–6734. 21 indexed citations
5.
Mu, Zhaomei, Xuanmao Jiao, Richard G. Pestell, & Massimo Cristofanilli. (2015). Abstract P6-14-06: CCR5 antagonists suppresses the migration and invasion of human inflammatory breast cancer cells. Cancer Research. 75(9_Supplement). P6–14. 2 indexed citations
6.
Jiao, Xuanmao, Marco A. Velasco‐Velázquez, Adam Ertel, et al.. (2014). CCR5 Receptor Antagonists Block Metastasis to Bone of v-Src Oncogene–Transformed Metastatic Prostate Cancer Cell Lines. Cancer Research. 74(23). 7103–7114. 60 indexed citations
7.
Li, Zhiping, Kexin Chen, Xuanmao Jiao, et al.. (2014). Cyclin D1 Integrates Estrogen-Mediated DNA Damage Repair Signaling. Cancer Research. 74(14). 3959–3970. 29 indexed citations
8.
Casimiro, Mathew C., Michael Gormley, Hui Meng, et al.. (2013). Identification of a Cyclin D1 Network in Prostate Cancer That Antagonizes Epithelial–Mesenchymal Restraint. Cancer Research. 74(2). 508–519. 35 indexed citations
9.
Wu, Kongming, Ke Chen, Chenguang Wang, et al.. (2013). Cell Fate Factor DACH1 Represses YB-1–Mediated Oncogenic Transcription and Translation. Cancer Research. 74(3). 829–839. 64 indexed citations
10.
Velasco‐Velázquez, Marco A., Xuanmao Jiao, Marisol De La Fuente, et al.. (2012). CCR5 Antagonist Blocks Metastasis of Basal Breast Cancer Cells. Cancer Research. 72(15). 3839–3850. 232 indexed citations
11.
Katiyar, Sanjay, Xuanmao Jiao, Sankar Addya, et al.. (2011). Mammary Gland Selective Excision of c-Jun Identifies Its Role in mRNA Splicing. Cancer Research. 72(4). 1023–1034. 7 indexed citations
12.
Meng, Hui, Lifeng Tian, Jie Zhou, et al.. (2011). PACSIN 2 represses cellular migration through direct association with cyclin D1 but not its alternate splice form cyclin D1b. Cell Cycle. 10(1). 73–81. 31 indexed citations
13.
Li, Zhiping, Xuanmao Jiao, Chenguang Wang, et al.. (2010). Alternative Cyclin D1 Splice Forms Differentially Regulate the DNA Damage Response. Cancer Research. 70(21). 8802–8811. 94 indexed citations
14.
Jiao, Xuanmao, Sanjay Katiyar, Nicole E. Willmarth, et al.. (2010). c-Jun Induces Mammary Epithelial Cellular Invasion and Breast Cancer Stem Cell Expansion. Journal of Biological Chemistry. 285(11). 8218–8226. 117 indexed citations
15.
Liu, Manran, Toshiyuki Sakamaki, Mathew C. Casimiro, et al.. (2010). The Canonical NF-κB Pathway Governs Mammary Tumorigenesis in Transgenic Mice and Tumor Stem Cell Expansion. Cancer Research. 70(24). 10464–10473. 177 indexed citations
16.
Liu, Manran, Xiaoming Ju, Nicole E. Willmarth, et al.. (2009). Nuclear Factor-κB Enhances ErbB2-Induced Mammary Tumorigenesis and Neoangiogenesis in Vivo. American Journal Of Pathology. 174(5). 1910–1920. 38 indexed citations
17.
Jiao, Xuanmao, Toshiyuki Sakamaki, Mathew C. Casimiro, et al.. (2008). ErbB2 Induces Notch1 Activity and Function in Breast Cancer Cells. Clinical and Translational Science. 1(2). 107–115. 36 indexed citations
18.
Kramer, Jill M., Ling Yi, Fang Shen, et al.. (2006). Cutting Edge: Evidence for Ligand-Independent Multimerization of the IL-17 Receptor. The Journal of Immunology. 176(2). 711–715. 90 indexed citations
19.
20.
Jiao, Xuanmao, et al.. (1995). Coupling between electron transfer and proton pumping in respiratory chain complex II+III of rat liver mitochondria. 11(5). 593–599. 2 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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