Guoqiang Bao

850 total citations
43 papers, 642 citations indexed

About

Guoqiang Bao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Guoqiang Bao has authored 43 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Guoqiang Bao's work include Genetic factors in colorectal cancer (5 papers), Cancer Cells and Metastasis (3 papers) and Telomeres, Telomerase, and Senescence (3 papers). Guoqiang Bao is often cited by papers focused on Genetic factors in colorectal cancer (5 papers), Cancer Cells and Metastasis (3 papers) and Telomeres, Telomerase, and Senescence (3 papers). Guoqiang Bao collaborates with scholars based in China, United States and India. Guoqiang Bao's co-authors include Xianli He, Huadong Zhao, Qing Qiao, Jinliang Xing, Falin Qu, Hushan Yang, Feng Zhou, Jianguo Lu, Li He and Ping Yang and has published in prestigious journals such as PLoS ONE, Cancer and Scientific Reports.

In The Last Decade

Guoqiang Bao

38 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guoqiang Bao China	16	308	153	133	93	85	43	642
Yonghong Shi China	17	372 1.2×	226 1.5×	122 0.9×	64 0.7×	76 0.9×	32	733
Gianfranca Corna Italy	13	319 1.0×	98 0.6×	89 0.7×	66 0.7×	55 0.6×	14	768
Junhui Zhu China	15	442 1.4×	116 0.8×	120 0.9×	86 0.9×	224 2.6×	43	884
Tongyu Zhu China	17	520 1.7×	145 0.9×	83 0.6×	93 1.0×	70 0.8×	27	902
Xiangxiang Wei China	11	497 1.6×	117 0.8×	51 0.4×	61 0.7×	92 1.1×	17	711
Wen Si China	16	389 1.3×	147 1.0×	122 0.9×	31 0.3×	76 0.9×	44	736
Xiping Xin Canada	12	360 1.2×	153 1.0×	243 1.8×	67 0.7×	43 0.5×	17	776
Naifeng Liu China	18	377 1.2×	157 1.0×	41 0.3×	92 1.0×	113 1.3×	51	878
Yong Tang China	17	602 2.0×	380 2.5×	145 1.1×	43 0.5×	64 0.8×	40	1.0k
Silke Zimmermann Germany	12	179 0.6×	83 0.5×	189 1.4×	64 0.7×	109 1.3×	36	604

Countries citing papers authored by Guoqiang Bao

Since Specialization

Citations

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

Fields of papers citing papers by Guoqiang Bao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoqiang Bao

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

All Works

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20 of 20 papers shown

Xie, Shuang, Zhenyu Yang, Xin Zhao, et al.. (2025). Aggressive characteristics of tumor deposits in colorectal cancer highlight the need for staging refinement in patients with 0–3 metastatic lymph nodes. International Journal of Cancer. 156(9). 1826–1839.

Li, Xue, Buying Han, Dehui Liu, et al.. (2025). Transcriptomic and flavor metabolomic exploration of the genetic basis of meat quality and flavor in Tibetan sheep. BMC Genomics. 26(1). 867–867.

Yang, Zhenyu, et al.. (2024). A novel 3D-printed educational model for the training of laparoscopic bile duct Exploration:a pilot study for beginning trainees. Heliyon. 10(17). e36689–e36689. 2 indexed citations

Bao, Guoqiang, et al.. (2023). Full-sized realistic 3D printed models of liver and tumour anatomy: a useful tool for the clinical medicine education of beginning trainees. BMC Medical Education. 23(1). 574–574. 11 indexed citations

Zhang, Jin, Jian Zhang, Guoqiang Bao, et al.. (2021). Effectiveness and safety of pegylated liposomal doxorubicin versus epirubicin as neoadjuvant or adjuvant chemotherapy for breast cancer: a real-world study. BMC Cancer. 21(1). 1301–1301. 24 indexed citations

Dong, Yanming, et al.. (2021). The application of the three-dimensional high-definition laparoscope in thyroid microcarcinoma. Translational Cancer Research. 10(2). 977–982.

Dong, Yanming, et al.. (2018). MARCH5 overexpression contributes to tumor growth and metastasis and associates with poor survival in breast cancer. Cancer Management and Research. Volume 11. 201–215. 24 indexed citations

Wang, Nan, Qing Qiao, Guoqiang Bao, et al.. (2017). Genetic polymorphisms are associated with the risk of gastric and colorectal cancers in a Han Chinese population. Oncotarget. 8(17). 28805–28811. 2 indexed citations

Zhao, Huadong, Qike Huang, Bo Qiu, et al.. (2016). MiR-101 targets USP22 to inhibit the tumorigenesis of papillary thyroid carcinoma.. PubMed. 6(11). 2575–2586. 26 indexed citations

10.

Bao, Guoqiang, Falin Qu, Li He, et al.. (2016). Prognostic Significance of Tag SNP rs1045411 in HMGB1 of the Aggressive Gastric Cancer in a Chinese Population. PLoS ONE. 11(4). e0154378–e0154378. 18 indexed citations

11.

Qu, Falin, Renli Li, Qiucheng Li, et al.. (2014). Short telomere length in peripheral blood leukocyte predicts poor prognosis and indicates an immunosuppressive phenotype in gastric cancer patients. Molecular Oncology. 9(3). 727–739. 23 indexed citations

12.

Qu, Fengli, Xianli He, Guoqiang Bao, et al.. (2014). Short leukocyte telomere length predicts poor prognosis and indicates altered immune functions in colorectal cancer patients. Annals of Oncology. 25(4). 869–876. 36 indexed citations

13.

Wang, Nan, Jingyue Yang, Jianguo Lu, et al.. (2014). IL-17 gene polymorphism is associated with susceptibility to gastric cancer. Tumor Biology. 35(10). 10025–10030. 32 indexed citations

14.

Wu, Tao, Yi Li, Jianguo Lu, et al.. (2012). Increased MMP-21 expression is associated with poor overall survival of patients with gastric cancer. Medical Oncology. 30(1). 15 indexed citations

15.

Yang, Hushan, Falin Qu, Ronald E. Myers, et al.. (2012). Genetic Variations in Stem Cell-Related Genes and Colorectal Cancer Prognosis. Journal of Gastrointestinal Cancer. 43(4). 584–593. 2 indexed citations

16.

Dong, Guanglong, Xu Guo, Xiaoying Fu, et al.. (2011). Potentially functional genetic variants in KDR gene as prognostic markers in patients with resected colorectal cancer. Cancer Science. 103(3). 561–568. 31 indexed citations

17.

Qu, Falin, Xiaonan Liu, Feng Zhou, et al.. (2011). Association between mitochondrial DNA content in leukocytes and colorectal cancer risk. Cancer. 117(14). 3148–3155. 57 indexed citations

18.

Du, Xilin, Guoqiang Bao, Xianli He, et al.. (2009). Expression and biological significance of c-FLIP in human hepatocellular carcinomas. Journal of Experimental & Clinical Cancer Research. 28(1). 24–24. 38 indexed citations

19.

Bao, Guoqiang, et al.. (2009). [Signal pathways of eryptosis-review].. PubMed. 17(4). 1097–100. 1 indexed citations

20.

Zhang, Qing, Sihe Zhang, Ming-quan Su, et al.. (2006). Guided selection of an anti-gamma-seminoprotein human Fab for antibody directed enzyme prodrug therapy of prostate cancer. Cancer Immunology Immunotherapy. 56(4). 477–489. 8 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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