Dan Guo

489 total citations
32 papers, 365 citations indexed

About

Dan Guo is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dan Guo has authored 32 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dan Guo's work include RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers) and Cancer-related Molecular Pathways (3 papers). Dan Guo is often cited by papers focused on RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers) and Cancer-related Molecular Pathways (3 papers). Dan Guo collaborates with scholars based in China, United States and Australia. Dan Guo's co-authors include Jinyu Liu, Kaiping Wang, Yu Zhang, Hongbo Fang, Yongliang Zhao, Vera Huang, Long‐Cheng Li, Xuemei Lu, Linghu Nie and Tom K. Hei and has published in prestigious journals such as Nano Letters, PLoS ONE and Journal of Allergy and Clinical Immunology.

In The Last Decade

Dan Guo

29 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Guo China	11	157	45	38	37	36	32	365
Zhen Cao China	11	177 1.1×	43 1.0×	32 0.8×	36 1.0×	25 0.7×	28	374
Raoudha Doghri Tunisia	12	79 0.5×	22 0.5×	32 0.8×	78 2.1×	43 1.2×	78	437
Lijuan Huang China	10	138 0.9×	29 0.6×	13 0.3×	29 0.8×	26 0.7×	31	357
Huiyu Xu China	12	223 1.4×	72 1.6×	14 0.4×	30 0.8×	22 0.6×	21	370
Zhilin Chen China	11	98 0.6×	42 0.9×	8 0.2×	64 1.7×	21 0.6×	32	319
Ying Liang China	14	221 1.4×	126 2.8×	16 0.4×	35 0.9×	28 0.8×	25	574
Tianyu Qin China	11	187 1.2×	29 0.6×	24 0.6×	96 2.6×	9 0.3×	29	361
Yuanhao Tang China	8	178 1.1×	87 1.9×	16 0.4×	63 1.7×	12 0.3×	14	310
Junming Chen China	14	274 1.7×	142 3.2×	22 0.6×	78 2.1×	17 0.5×	37	556

Countries citing papers authored by Dan Guo

Since Specialization

Citations

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

Fields of papers citing papers by Dan Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Guo. A scholar is included among the top collaborators of Dan 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 Dan Guo. Dan Guo 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

Wang, Xu, Dan Guo, Xiaoxi Wang, et al.. (2025). Clinical application of mesenchymal stem cells in immunosenescence: a qualitative review of their potential and challenges. Stem Cell Research & Therapy. 16(1). 265–265. 1 indexed citations

Zhang, Ying, et al.. (2024). CPSF3 regulates alternative polyadenylation of CNIH2 to promote esophageal squamous cell carcinoma progression. Cancer Letters. 593. 216925–216925. 3 indexed citations

Pan, Boju, Yang Zhang, Shu Wang, et al.. (2024). PD-L1 expression in ovarian clear cell carcinoma using the 22C3 pharmDx assay. Diagnostic Pathology. 19(1). 82–82. 4 indexed citations

Chen, Wenlin, Chuxiang Lei, Yuekun Wang, et al.. (2023). Prognostic Prediction Model for Glioblastoma: A Ferroptosis-Related Gene Prediction Model and Independent External Validation. Journal of Clinical Medicine. 12(4). 1341–1341. 7 indexed citations

Guo, Dan, Xunyao Wu, Anqi Wang, et al.. (2023). Expression of Tryptophan Metabolism Enzymes in Patients with Diffuse Large B‐cell Lymphoma and NK/T‐cell Lymphoma. Cancer Medicine. 12(11). 12139–12148. 6 indexed citations

Tan, Qinghai, Jia‐Min Lai, Xue‐Lu Liu, et al.. (2022). Donor–Acceptor Pair Quantum Emitters in Hexagonal Boron Nitride. Nano Letters. 22(3). 1331–1337. 38 indexed citations

Xie, Ting, Dan Guo, Tao Guo, et al.. (2022). The protective effect of 17 β-estradiol on human uterosacral ligament fibroblasts from postmenopausal women with pelvic organ prolapse. Frontiers in Physiology. 13. 980843–980843. 8 indexed citations

Wang, Pan, Junliang Lu, Boju Pan, et al.. (2022). Diagnostic significance of parafibromin expression in parathyroid carcinoma. Human Pathology. 127. 28–38. 9 indexed citations

Wu, Xunyao, Yang Xiao, Dan Guo, Zixin Zhang, & Meiyu Liu. (2022). Reduced NK Cell Cytotoxicity by Papillomatosis-Derived TGF-β Contributing to Low-Risk HPV Persistence in JORRP Patients. Frontiers in Immunology. 13. 849493–849493. 9 indexed citations

10.

Shi, Ke, Jin Z. Zhang, Liang Yang, et al.. (2021). Protein deubiquitylase USP3 stabilizes Aurora A to promote proliferation and metastasis of esophageal squamous cell carcinoma. BMC Cancer. 21(1). 1196–1196. 18 indexed citations

11.

Sun, Xiaolin, Lin Lü, Ming Feng, et al.. (2020). Cushing Syndrome Caused by Ectopic Adrenocorticotropic Hormone–Secreting Pituitary Adenomas: Case Report and Literature Review. World Neurosurgery. 142. 75–86. 7 indexed citations

12.

Li, Fangyuan, Dan Guo, & Lin Kang. (2019). Study on the recognition of G-quadruplexes by two stereoisomers of alkaloids. Analytical and Bioanalytical Chemistry. 411(21). 5555–5561. 3 indexed citations

13.

Li, Li, Jin Qian, Dan Guo, et al.. (2018). Estrogen receptor β activation stimulates the development of experimental autoimmune thyroiditis through up-regulation of Th17-type responses. Clinical Immunology. 190. 41–52. 23 indexed citations

14.

Feng, Li, Ling Qin, Dan Guo, et al.. (2017). Immunological mechanism of low-dose priming radiation resistance in walker-256 tumor model mice. Experimental and Therapeutic Medicine. 14(4). 3868–3873. 5 indexed citations

15.

Chen, Xianwei, Dan Guo, Ying‐Hui Zhu, et al.. (2016). Nuclear phosphoproteomics analysis reveals that CDK1/2 are involved in EGF-regulated constitutive pre-mRNA splicing in MDA-MB-468 cells. Journal of Proteomics. 141. 77–84. 2 indexed citations

16.

Fang, Hongbo, et al.. (2014). Epigenetic regulation of putative tumor suppressor TGFBI in human leukemias. Chinese Medical Journal. 127(9). 1645–1650. 7 indexed citations

17.

Guo, Dan, et al.. (2014). RNAa in action: From the exception to the norm. RNA Biology. 11(10). 1221–1225. 29 indexed citations

18.

Fang, Hongbo, Linghu Nie, Jing Liu, et al.. (2013). RecQL4 Helicase Amplification Is Involved in Human Breast Tumorigenesis. PLoS ONE. 8(7). e69600–e69600. 45 indexed citations

19.

Liu, Jinyu, et al.. (2012). Polysaccharide Isolated from Angelica sinensis Inhibits Hepcidin Expression in Rats with Iron Deficiency Anemia. Journal of Medicinal Food. 15(10). 923–929. 32 indexed citations

20.

Wang, Kaiping, et al.. (2011). Inhibitory effect of polysaccharides isolated from Angelica sinensis on hepcidin expression. Journal of Ethnopharmacology. 134(3). 944–948. 33 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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