Dongsheng Guo

2.1k total citations
68 papers, 1.6k citations indexed

About

Dongsheng Guo is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Dongsheng Guo has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 23 papers in Genetics and 13 papers in Cancer Research. Recurrent topics in Dongsheng Guo's work include Glioma Diagnosis and Treatment (23 papers), Glycosylation and Glycoproteins Research (20 papers) and Neuroblastoma Research and Treatments (9 papers). Dongsheng Guo is often cited by papers focused on Glioma Diagnosis and Treatment (23 papers), Glycosylation and Glycoproteins Research (20 papers) and Neuroblastoma Research and Treatments (9 papers). Dongsheng Guo collaborates with scholars based in China, Sweden and United States. Dongsheng Guo's co-authors include Roger Henriksson, Håkan Hedman, Fangling Cheng, Baofeng Wang, Jonas Nilsson, Camilla Holmlund, Irina Golovleva, Feng Mao, Zhaonian Hao and Qungen Xiao and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dongsheng Guo

65 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongsheng Guo China 23 874 373 335 313 257 68 1.6k
Cécile L. Maire Germany 26 964 1.1× 384 1.0× 582 1.7× 525 1.7× 198 0.8× 48 1.8k
N. Sabha Germany 25 712 0.8× 163 0.4× 447 1.3× 554 1.8× 85 0.3× 63 2.2k
Joydeep Mukherjee United States 18 938 1.1× 207 0.6× 449 1.3× 700 2.2× 137 0.5× 35 1.5k
Jason Heth United States 21 874 1.0× 360 1.0× 446 1.3× 221 0.7× 99 0.4× 56 2.1k
Han‐Xiang An China 25 1.1k 1.2× 740 2.0× 207 0.6× 442 1.4× 174 0.7× 61 2.1k
Edward Pan United States 26 709 0.8× 388 1.0× 881 2.6× 347 1.1× 180 0.7× 79 1.9k
Boyan K. Garvalov Germany 26 1.1k 1.3× 481 1.3× 317 0.9× 533 1.7× 199 0.8× 41 2.2k
Daphne A. Haas-Kogan United States 23 1.4k 1.6× 534 1.4× 731 2.2× 571 1.8× 100 0.4× 34 2.5k
David Akhavan United States 11 725 0.8× 263 0.7× 198 0.6× 221 0.7× 129 0.5× 19 1.1k
David A. Nathanson United States 23 581 0.7× 328 0.9× 346 1.0× 356 1.1× 212 0.8× 63 1.4k

Countries citing papers authored by Dongsheng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Dongsheng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongsheng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Dongsheng Guo. A scholar is included among the top collaborators of Dongsheng 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 Dongsheng Guo. Dongsheng 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.
Zhang, Xiaolin, Peng Peng, Zirong Chen, et al.. (2024). Hypoxia-induced TREM1 promotes mesenchymal-like states of glioma stem cells via alternatively activating tumor-associated macrophages. Cancer Letters. 590. 216801–216801. 11 indexed citations
2.
Guo, Dongsheng, Chao Zhu, Yu Wang, et al.. (2024). LRRC45 accelerates bladder cancer development and ferroptosis inhibition via stabilizing NRF2 by competitively KEAP1 interaction. Free Radical Biology and Medicine. 226. 29–42. 1 indexed citations
3.
Zhang, Po, Guohao Liu, Sui Chen, et al.. (2022). Tenascin-C can Serve as an Indicator for the Immunosuppressive Microenvironment of Diffuse Low-Grade Gliomas. Frontiers in Immunology. 13. 824586–824586. 13 indexed citations
4.
Hao, Zhaonian & Dongsheng Guo. (2019). EGFR mutation: novel prognostic factor associated with immune infiltration in lower-grade glioma; an exploratory study. BMC Cancer. 19(1). 1184–1184. 40 indexed citations
5.
Cheng, Fangling & Dongsheng Guo. (2019). MET in glioma: signaling pathways and targeted therapies. Journal of Experimental & Clinical Cancer Research. 38(1). 270–270. 110 indexed citations
6.
Cheng, Fangling, Po Zhang, Qungen Xiao, et al.. (2019). The Prognostic and Therapeutic Potential of LRIG3 and Soluble LRIG3 in Glioblastoma. Frontiers in Oncology. 9. 447–447. 8 indexed citations
7.
Zhang, Lei, Fangling Cheng, Yiju Wei, et al.. (2018). Inhibition of TAZ contributes radiation-induced senescence and growth arrest in glioma cells. Oncogene. 38(15). 2788–2799. 33 indexed citations
8.
Yu, Chao, et al.. (2015). Guo-Åberg-Crasemann theory for high harmonic generation and its cutoff law. Acta Physica Sinica. 64(12). 124207–124207. 1 indexed citations
10.
Xie, Ruifan, Hai Yang, Qungen Xiao, et al.. (2012). Downregulation of LRIG1 expression by RNA interference promotes the aggressive properties of glioma cells via EGFR/Akt/c-Myc activation. Oncology Reports. 29(1). 177–184. 33 indexed citations
11.
Mao, Feng, Baofeng Wang, Guifa Xi, et al.. (2012). Effects of RNAi-mediated gene silencing of LRIG1 on proliferation and invasion of glioma cells. Journal of Huazhong University of Science and Technology [Medical Sciences]. 32(2). 227–232. 6 indexed citations
12.
Zhang, Suojun, Feng Wan, Dongsheng Guo, & Ting Lei. (2011). Targeting Raf/MEK/ERK pathway in pituitary adenomas. European Journal of Cancer. 48(3). 389–395. 27 indexed citations
13.
Qin, Yan, Yibo Ou, Fei Ye, et al.. (2011). Association of expression of Leucine-rich repeats and immunoglobulin-like domains 2 gene with invasiveness of pituitary adenoma. Journal of Huazhong University of Science and Technology [Medical Sciences]. 31(4). 520–523. 4 indexed citations
14.
Ye, Fei, Ruifan Xie, Feng Hu, et al.. (2011). Comparative study on the stem cell phenotypes of C6 cells under different culture conditions.. PubMed. 124(19). 3118–26. 9 indexed citations
15.
Cai, Mingjun, Lin Han, Rudong Chen, et al.. (2009). Inhibition of LRIG3 gene expression via RNA interference modulates the proliferation, cell cycle, cell apoptosis, adhesion and invasion of glioblastoma cell (GL15). Cancer Letters. 278(1). 104–112. 22 indexed citations
16.
Guo, Dongsheng. (2007). The expressions and clinical significance of LRIG1 and EGFR in bladder transitional cell carcinoma. Journal of Clinical Urology. 1 indexed citations
17.
Yan, Zejun, et al.. (2006). LRIG1, a candidate tumour‐suppressor gene in human bladder cancer cell line BIU87. British Journal of Urology. 98(4). 898–902. 21 indexed citations
18.
Andersson, Ulrika, et al.. (2004). Epidermal growth factor receptor family (EGFR, ErbB2?4) in gliomas and meningiomas. Acta Neuropathologica. 108(2). 135–42. 121 indexed citations
19.
Holmlund, Camilla, Jonas Nilsson, Dongsheng Guo, et al.. (2004). Characterization and tissue-specific expression of human LRIG2. Gene. 332. 35–43. 63 indexed citations
20.
Nilsson, Jonas, et al.. (2002). Is LRIG1 a Tumour Suppressor Gene at Chromosome 3p14.3?. Acta Oncologica. 41(4). 352–354. 76 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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