Xin‐Xi Zhou

413 total citations
9 papers, 346 citations indexed

About

Xin‐Xi Zhou is a scholar working on Cancer Research, Molecular Biology and Epidemiology. According to data from OpenAlex, Xin‐Xi Zhou has authored 9 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cancer Research, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Xin‐Xi Zhou's work include Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (3 papers) and Respiratory viral infections research (2 papers). Xin‐Xi Zhou is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (3 papers) and Respiratory viral infections research (2 papers). Xin‐Xi Zhou collaborates with scholars based in China, United States and Portugal. Xin‐Xi Zhou's co-authors include Wei-Hua Jia, Yi-Xin Zeng, Yin Yao Shugart, Hai-De Qin, Xiaohui Zheng, Cui Cui, Chun Yi, Tiebang Kang, Mu‐Sheng Zeng and Hanyu Wang and has published in prestigious journals such as Oncogene, World Journal of Gastroenterology and Cancer Epidemiology Biomarkers & Prevention.

In The Last Decade

Xin‐Xi Zhou

9 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xin‐Xi Zhou China	8	189	186	83	58	46	9	346
Xiaoqian Tuo China	13	72 0.4×	162 0.9×	46 0.6×	81 1.4×	73 1.6×	20	356
Yanfeng Pan China	9	164 0.9×	179 1.0×	46 0.6×	36 0.6×	30 0.7×	22	313
Zhihui Dai China	10	261 1.4×	373 2.0×	65 0.8×	39 0.7×	40 0.9×	17	485
Yan Stein Israel	9	84 0.4×	200 1.1×	35 0.4×	55 0.9×	160 3.5×	12	353
Suki S. Lau Hong Kong	3	128 0.7×	264 1.4×	35 0.4×	65 1.1×	49 1.1×	3	367
Jingli Du China	9	115 0.6×	220 1.2×	60 0.7×	66 1.1×	40 0.9×	18	350
Andrew Fischer United States	7	107 0.6×	133 0.7×	75 0.9×	87 1.5×	71 1.5×	10	346
Özgür Özkayar Türkiye	4	140 0.7×	168 0.9×	44 0.5×	31 0.5×	36 0.8×	8	263
Saravana Kumar Kailasam Mani United States	9	180 1.0×	314 1.7×	41 0.5×	126 2.2×	63 1.4×	11	429

Countries citing papers authored by Xin‐Xi Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Xin‐Xi Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin‐Xi Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Xin‐Xi Zhou. A scholar is included among the top collaborators of Xin‐Xi Zhou 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 Xin‐Xi Zhou. Xin‐Xi Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Liao, Shuang, et al.. (2023). Predictors of academic career progression among early career physician-scientists via an intensive research training program abroad: a case study. BMC Medical Education. 23(1). 94–94. 4 indexed citations

Zheng, Xiaohui, et al.. (2014). Plasma microRNA profiles of nasopharyngeal carcinoma patients reveal miR-548q and miR-483-5p as potential biomarkers. Chinese Journal of Cancer. 33(7). 330–8. 37 indexed citations

Fan, Qin, Qirui Wang, Xuegang Sun, et al.. (2013). Functional polymorphism in the 5′-UTR of CR2 is associated with susceptibility to nasopharyngeal carcinoma. Oncology Reports. 30(1). 11–16. 16 indexed citations

Zheng, Xiaohui, Cui Cui, Xin‐Xi Zhou, Yi-Xin Zeng, & Wei-Hua Jia. (2013). Centrifugation: an important pre-analytic procedure that influences plasma microRNA quantification during blood processing. Chinese Journal of Cancer. 32(12). 667–672. 27 indexed citations

Yi, Chun, Linli Wang, Yanbin Huang, et al.. (2012). MiR-663, a microRNA targeting p21WAF1/CIP1, promotes the proliferation and tumorigenesis of nasopharyngeal carcinoma. Oncogene. 31(41). 4421–4433. 129 indexed citations

Qin, Haide, Wei‐Hua Jia, Na Liu, et al.. (2011). Elevated Epstein–Barr virus seroreactivity among unaffected members of families with nasopharyngeal carcinoma. Journal of Medical Virology. 83(10). 1792–1798. 12 indexed citations

Zhang, Youxiang, Wenjuan Wu, Yunzhi Zhang, et al.. (2008). Noninvasive assessment of liver fibrosis with combined serum aminotransferase/platelet ratio index and hyaluronic acid in patients with chronic hepatitis B. World Journal of Gastroenterology. 14(46). 7117–7117. 30 indexed citations

Jia, Wei-Hua, Qin Fan, Xin‐Xi Zhou, et al.. (2007). Genetic polymorphisms of TLR3 are associated with Nasopharyngeal carcinoma risk in Cantonese population. BMC Cancer. 7(1). 194–194. 42 indexed citations

Zhou, Xin‐Xi, Wei-Hua Jia, Guo-Ping Shen, et al.. (2006). Sequence Variants in Toll-Like Receptor 10 Are Associated with Nasopharyngeal Carcinoma Risk. Cancer Epidemiology Biomarkers & Prevention. 15(5). 862–866. 49 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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