Li‐Xin Qiu

3.5k total citations
113 papers, 2.8k citations indexed

About

Li‐Xin Qiu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Li‐Xin Qiu has authored 113 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 38 papers in Oncology and 25 papers in Cancer Research. Recurrent topics in Li‐Xin Qiu's work include Genetic factors in colorectal cancer (13 papers), Colorectal Cancer Treatments and Studies (13 papers) and DNA Repair Mechanisms (12 papers). Li‐Xin Qiu is often cited by papers focused on Genetic factors in colorectal cancer (13 papers), Colorectal Cancer Treatments and Studies (13 papers) and DNA Repair Mechanisms (12 papers). Li‐Xin Qiu collaborates with scholars based in China, United States and Hong Kong. Li‐Xin Qiu's co-authors include Chen Mao, Jin Li, Qing Chen, Hong Ding, Jing He, Ping Zhan, Yong Song, Mengyun Wang, Kai Xue and Qing-Yi Wei and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Li‐Xin Qiu

112 papers receiving 2.7k citations

Peers

Li‐Xin Qiu
Heinz Sill Austria
Erich M. Sturgis United States
Elizabeth L. Wiley United States
Wenxin Zheng United States
Philippe Tanière United Kingdom
Charalambos Andreadis United States
Li‐Xin Qiu
Citations per year, relative to Li‐Xin Qiu Li‐Xin Qiu (= 1×) peers Pantaleo Bufo

Countries citing papers authored by Li‐Xin Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Xin Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li‐Xin Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Xin Qiu. A scholar is included among the top collaborators of Li‐Xin Qiu 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 Li‐Xin Qiu. Li‐Xin Qiu 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.
Qu, Xiaofei, et al.. (2020). Functional variation of SLC52A3 rs13042395 predicts survival of Chinese gastric cancer patients. Journal of Cellular and Molecular Medicine. 24(21). 12550–12559. 1 indexed citations
2.
Li, Wenhua, Caixia Fu, Robert Grimm, et al.. (2020). Comparison of intravoxel incoherent motion imaging, diffusion kurtosis imaging, and conventional DWI in predicting the chemotherapeutic response of colorectal liver metastases. European Journal of Radiology. 130. 109149–109149. 15 indexed citations
3.
Zhou, Fei, Meiling Zhu, Mengyun Wang, et al.. (2016). Genetic variants of DNA repair genes predict the survival of patients with esophageal squamous cell cancer receiving platinum-based adjuvant chemotherapy. Journal of Translational Medicine. 14(1). 154–154. 8 indexed citations
4.
Zhang, Junjie, Xuewen Huang, Juanjuan Xiao, et al.. (2014). Pri-miR-124 rs531564 and pri-miR-34b/c rs4938723 Polymorphisms Are Associated with Decreased Risk of Esophageal Squamous Cell Carcinoma in Chinese Populations. PLoS ONE. 9(6). e100055–e100055. 64 indexed citations
5.
He, Jing, Bo Xi, Rikje Ruiter, et al.. (2013). Association of LEP G2548A and LEPR Q223R Polymorphisms with Cancer Susceptibility: Evidence from a Meta-Analysis. PLoS ONE. 8(10). e75135–e75135. 26 indexed citations
6.
Wang, Mengyun, Ruoxin Zhang, Jing He, et al.. (2012). Potentially Functional Variants of PLCE1 Identified by GWASs Contribute to Gastric Adenocarcinoma Susceptibility in an Eastern Chinese Population. PLoS ONE. 7(3). e31932–e31932. 47 indexed citations
7.
Zhang, Jian, Li‐Xin Qiu, Zhonghua Wang, et al.. (2010). Current evidence on the relationship between three polymorphisms in the FGFR2 gene and breast cancer risk: a meta-analysis. Breast Cancer Research and Treatment. 124(2). 419–424. 18 indexed citations
8.
Yao, Lei, Li‐Xin Qiu, Lu Yu, et al.. (2010). The association between TA-repeat polymorphism in the promoter region of UGT1A1 and breast cancer risk: a meta-analysis. Breast Cancer Research and Treatment. 122(3). 879–882. 17 indexed citations
9.
Qiu, Li‐Xin, Lei Yao, Chen Mao, et al.. (2010). TGFB1 L10P polymorphism is associated with breast cancer susceptibility: evidence from a meta-analysis involving 47,817 subjects. Breast Cancer Research and Treatment. 123(2). 563–567. 18 indexed citations
10.
Yuan, Hui, Hai‐Feng Pan, Li‐Xin Qiu, et al.. (2010). A meta-analysis of the association of STAT4 polymorphism with systemic lupus erythematosus. Modern Rheumatology. 20(3). 257–262. 22 indexed citations
11.
Qiu, Li‐Xin, Chen Mao, Jian Zhang, et al.. (2010). Predictive and prognostic value of KRAS mutations in metastatic colorectal cancer patients treated with cetuximab: A meta-analysis of 22 studies. European Journal of Cancer. 46(15). 2781–2787. 70 indexed citations
12.
Qiu, Li‐Xin, Ke Wang, Sheng Yang, et al.. (2010). Current evidences on vascular endothelial growth factor polymorphisms and breast cancer susceptibility. Molecular Biology Reports. 38(7). 4491–4494. 13 indexed citations
13.
Zhang, Jian, Li‐Xin Qiu, Shiangjiin Leaw, Xichun Hu, & Jianhua Chang. (2010). The association between XPD Asp312Asn polymorphism and lung cancer risk: a meta-analysis including 16,949 subjects. Medical Oncology. 28(3). 655–660. 11 indexed citations
14.
Mao, Chen, Xiwen Wang, Benfu He, et al.. (2009). Lack of association between CYP17 MspA1 polymorphism and breast cancer risk: a meta-analysis of 22,090 cases and 28,498 controls. Breast Cancer Research and Treatment. 122(1). 259–265. 11 indexed citations
15.
Mao, Chen, et al.. (2009). TGFBR1*6A/9A polymorphism and cancer risk: a meta-analysis of 13,662 cases and 14,147 controls. Molecular Biology Reports. 37(7). 3227–3232. 37 indexed citations
16.
Qiu, Li‐Xin, et al.. (2009). MDM2 309 T/G polymorphism is associated with lung cancer risk among Asians. European Journal of Cancer. 45(11). 2023–2026. 18 indexed citations
17.
Zhang, Haifeng, Li‐Xin Qiu, Chen Mao, et al.. (2009). ATG16L1 T300A polymorphism and Crohn’s disease susceptibility: evidence from 13,022 cases and 17,532 controls. Human Genetics. 125(5-6). 627–631. 33 indexed citations
18.
Zheng, Ming‐Hua, Li‐Xin Qiu, Yongning Xin, et al.. (2009). Tumor necrosis factor-α-308A allele may have a protective effect for chronic hepatitis B virus infection in Mongoloid populations. International Journal of Infectious Diseases. 14(7). e580–e585. 20 indexed citations
19.
Zhan, Ping, Jing Wang, Yu Zhang, et al.. (2009). CYP2E1 Rsa I/Pst I polymorphism is associated with lung cancer risk among Asians. Lung Cancer. 69(1). 19–25. 27 indexed citations
20.
Zhang, Zhizhong, Li‐Xin Qiu, Meilin Wang, et al.. (2009). The FAS ligand promoter polymorphism, rs763110 (−844C>T), contributes to cancer susceptibility: evidence from 19 case–control studies. European Journal of Human Genetics. 17(10). 1294–1303. 26 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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