Xiaobo Guo

1.7k total citations
70 papers, 1.3k citations indexed

About

Xiaobo Guo is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Xiaobo Guo has authored 70 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 28 papers in Cancer Research and 17 papers in Surgery. Recurrent topics in Xiaobo Guo's work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (12 papers) and Circular RNAs in diseases (10 papers). Xiaobo Guo is often cited by papers focused on Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (12 papers) and Circular RNAs in diseases (10 papers). Xiaobo Guo collaborates with scholars based in China, United States and India. Xiaobo Guo's co-authors include Leping Li, Qiaoming Zhi, Xiaofeng Xue, Changqing Jing, Jinshen Wang, Chensheng Li, Pu Li, Ye Han, Jinglei Liu and Hong Zhao and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Xiaobo Guo

67 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobo Guo China 22 880 613 199 137 134 70 1.3k
Hua Geng China 19 897 1.0× 407 0.7× 206 1.0× 123 0.9× 169 1.3× 44 1.4k
Yanli Guo China 23 1.1k 1.3× 754 1.2× 149 0.7× 187 1.4× 146 1.1× 85 1.5k
Xiao Cheng China 20 539 0.6× 357 0.6× 189 0.9× 110 0.8× 162 1.2× 47 1.2k
Jian Lei China 16 682 0.8× 594 1.0× 337 1.7× 177 1.3× 343 2.6× 64 1.5k
Jinbo Gao China 19 588 0.7× 292 0.5× 257 1.3× 245 1.8× 201 1.5× 66 1.1k
Ruchika Gangwar India 26 867 1.0× 372 0.6× 263 1.3× 201 1.5× 92 0.7× 36 1.4k
Sabina Ševčı́ková Czechia 20 1.0k 1.2× 465 0.8× 426 2.1× 85 0.6× 84 0.6× 100 1.6k
Jine Yang China 23 1.4k 1.6× 1.2k 2.0× 253 1.3× 96 0.7× 88 0.7× 40 2.0k
Sen Lu China 26 870 1.0× 654 1.1× 149 0.7× 146 1.1× 87 0.6× 62 1.6k
Lixia Xiong China 20 574 0.7× 326 0.5× 164 0.8× 71 0.5× 83 0.6× 43 1.0k

Countries citing papers authored by Xiaobo Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobo Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobo Guo. A scholar is included among the top collaborators of Xiaobo Guo 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 Xiaobo Guo. Xiaobo Guo 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.
Guo, Xiaobo, Conglong Xia, Yue Yao, et al.. (2025). Structure Optimization of Natural Product Catalpol to Obtain Novel and Potent Analogs against Heart Failure. Journal of Medicinal Chemistry. 68(4). 4540–4560. 3 indexed citations
2.
Guo, Xiaobo, Kui Zhang, Yiping Sun, & Ran Dong. (2024). Causal Association of Chronic Venous Insufficiency and Cardiovascular Diseases: A Univariable and Multivariable Mendelian Randomization Study. Reviews in Cardiovascular Medicine. 25(10). 2 indexed citations
3.
4.
Wang, Jiqun, Wenwen Liu, Xiaobo Guo, et al.. (2024). A Senomorphlytic Three‐Drug Combination Discovered in Salsola collina for Delaying Aging Phenotypes and Extending Healthspan. Advanced Science. 11(36). e2401862–e2401862. 6 indexed citations
5.
6.
Zhang, Zhikai, et al.. (2022). Role of transcribed ultraconserved regions in gastric cancer and therapeutic perspectives. World Journal of Gastroenterology. 28(25). 2900–2909. 1 indexed citations
7.
Chen, Jiantao, et al.. (2021). The multivariable prognostic models for severe complications after heart valve surgery. BMC Cardiovascular Disorders. 21(1). 491–491. 5 indexed citations
8.
Shi, Min, et al.. (2020). MiR-506-3p regulates autophagy and proliferation in post-burn skin fibroblasts through post-transcriptionally suppressing Beclin-1 expression. In Vitro Cellular & Developmental Biology - Animal. 56(7). 522–532. 12 indexed citations
9.
Feng, Hai, et al.. (2019). Percutaneous mechanical thrombectomy and angioplasty for femoropopliteal artery stent restenosis. Zhonghua putong waike zazhi. 34(9). 750–752.
10.
Xu, Zhihua, Daiwei Wan, Qian Chen, et al.. (2019). High-throughput sequencing of circRNAs reveals novel insights into mechanisms of nigericin in pancreatic cancer. BMC Genomics. 20(1). 716–716. 14 indexed citations
11.
Chen, Liling, et al.. (2018). Effects of acidifier and oregano oil instead of colistin sulfate on growth performance, diarrhea rate and caecal microorganism number of weaned piglets.. Dongwu yingyang xuebao. 30(5). 1864–1871. 1 indexed citations
12.
Yuan, Bin, Hong Zhao, Xiaofeng Xue, et al.. (2016). Prognostic Value and Clinicopathological Differences of Bmi1 in Gastric Cancer: A Meta-analysis. Anti-Cancer Agents in Medicinal Chemistry. 16(4). 407–413. 7 indexed citations
13.
Zhi, Qiaoming, Dan Wang, Li Zhang, et al.. (2016). Long Noncoding RNA C21orF96 Promotes the Migration, Invasion and Lymph Node Metastasis in Gastric Cancer. Anti-Cancer Agents in Medicinal Chemistry. 16(9). 1101–1108. 14 indexed citations
14.
Han, Ye, Xiaofeng Xue, Wei Li, et al.. (2015). Epidermal growth factor-like domain 7 promotes cell invasion and angiogenesis in pancreatic carcinoma. Biomedicine & Pharmacotherapy. 77. 167–175. 24 indexed citations
15.
Fu, Huadong, et al.. (2014). A review of prophylactic antibiotics use in plastic surgery in China and a systematic review. International Journal of Surgery. 12(12). 1300–1305. 5 indexed citations
16.
Hu, Yanyan, et al.. (2014). Circulating microRNA profiles and the identification of miR-593 and miR-511 which directly target the PROP1 gene in children with combined pituitary hormone deficiency. International Journal of Molecular Medicine. 35(2). 358–366. 11 indexed citations
17.
Han, Ye, Xiaofeng Xue, Min Jiang, et al.. (2014). LGR5, a relevant marker of cancer stem cells, indicates a poor prognosis in colorectal cancer patients: A meta-analysis. Clinics and Research in Hepatology and Gastroenterology. 39(2). 267–273. 34 indexed citations
18.
Guo, Xiaobo, et al.. (2013). VEZT, a Novel Putative Tumor Suppressor, Suppresses the Growth and Tumorigenicity of Gastric Cancer. PLoS ONE. 8(9). e74409–e74409. 34 indexed citations
19.
Zhi, Qiaoming, Xiaobo Guo, Lei Guo, et al.. (2013). Oncogenic miR-544 is an Important Molecular Target in Gastric Cancer. Anti-Cancer Agents in Medicinal Chemistry. 13(2). 270–275. 29 indexed citations
20.
Guo, Xiaobo, Changqing Jing, Leping Li, et al.. (2011). Down-regulation of miR-622 in gastric cancer promotes cellular invasion and tumor metastasis by targeting ING1 gene. World Journal of Gastroenterology. 17(14). 1895–1895. 63 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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