Aiguo Shen

4.3k total citations
179 papers, 3.6k citations indexed

About

Aiguo Shen is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Aiguo Shen has authored 179 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Molecular Biology, 40 papers in Oncology and 34 papers in Cancer Research. Recurrent topics in Aiguo Shen's work include Cancer-related Molecular Pathways (22 papers), Nerve injury and regeneration (19 papers) and Ubiquitin and proteasome pathways (18 papers). Aiguo Shen is often cited by papers focused on Cancer-related Molecular Pathways (22 papers), Nerve injury and regeneration (19 papers) and Ubiquitin and proteasome pathways (18 papers). Aiguo Shen collaborates with scholars based in China, United States and Australia. Aiguo Shen's co-authors include Chun Cheng, Yuchan Wang, Yueming Zhao, Linlin Sun, Yong Xu, Tao Tao, Yonghua Liu, Qi Chen, Song He and Mudan Lu and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Aiguo Shen

175 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aiguo Shen China 32 2.3k 683 620 475 357 179 3.6k
Dimitris Kardassis Greece 37 2.7k 1.2× 997 1.5× 682 1.1× 507 1.1× 240 0.7× 122 4.4k
Xu Tao China 6 3.9k 1.7× 1.1k 1.6× 600 1.0× 665 1.4× 402 1.1× 23 5.2k
Xavier Dolcet Spain 35 2.4k 1.0× 882 1.3× 999 1.6× 544 1.1× 430 1.2× 85 4.2k
Zhongzhou Yang China 34 2.9k 1.2× 575 0.8× 525 0.8× 731 1.5× 201 0.6× 98 4.4k
Long Pang China 20 2.9k 1.2× 753 1.1× 469 0.8× 559 1.2× 721 2.0× 52 4.5k
Pilar Santisteban Spain 44 3.4k 1.5× 652 1.0× 918 1.5× 324 0.7× 235 0.7× 129 5.8k
Jennifer D. Black United States 37 3.1k 1.3× 985 1.4× 499 0.8× 387 0.8× 343 1.0× 94 4.7k
Julie Guillermet‐Guibert France 26 2.3k 1.0× 956 1.4× 392 0.6× 469 1.0× 152 0.4× 53 3.9k
Alessandro Alessandrini United States 32 2.7k 1.2× 699 1.0× 310 0.5× 759 1.6× 511 1.4× 56 4.6k

Countries citing papers authored by Aiguo Shen

Since Specialization
Citations

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

Fields of papers citing papers by Aiguo Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aiguo Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Aiguo Shen. A scholar is included among the top collaborators of Aiguo Shen 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 Aiguo Shen. Aiguo Shen 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.
Li, Yuanyuan, Yumeng Wu, Wenjing Zhao, et al.. (2025). GRWD1 inhibits nucleolar stress and reduces the sensitivity of hepatocellular carcinoma to oxaliplatin. Genes & Diseases. 13(2). 101725–101725.
2.
Chen, Cong, Kang Chen, Ning He, et al.. (2024). Multi-omics analysis of macrophage-associated receptor and ligand reveals a strong prognostic signature and subtypes in hepatocellular carcinoma. Scientific Reports. 14(1). 12163–12163. 2 indexed citations
3.
4.
Shi, Lingling, et al.. (2023). A pan-cancer analysis of anti-proliferative protein family genes for therapeutic targets in cancer. Scientific Reports. 13(1). 21607–21607. 4 indexed citations
5.
Wu, Yumeng, Biao Wu, Xuming Wu, et al.. (2022). Pan‐Cancer Analysis Predicts the Immunological and Prognostic Role of ZC3H12C in KIRC. BioMed Research International. 2022(1). 4541571–4541571. 2 indexed citations
6.
Wu, Yumeng, Cheng Shen, Xinghui Wang, et al.. (2022). Development and Validation of a Novel Circadian Rhythm‐Related Signature to Predict the Prognosis of the Patients with Hepatocellular Carcinoma. BioMed Research International. 2022(1). 4263261–4263261. 4 indexed citations
7.
Wu, Yumeng, Xuming Wu, Wenjing Zhao, et al.. (2021). Comprehensive Analysis of Glutamate‐Rich WD Repeat‐Containing Protein 1 and Its Potential Clinical Significance for Pancancer. BioMed Research International. 2021(1). 8201377–8201377. 6 indexed citations
8.
Wu, Biao, Yumeng Wu, Yuanyuan Li, et al.. (2021). An Integrative Pan‐Cancer Analysis of the Oncogenic Role of COPB2 in Human Tumors. BioMed Research International. 2021(1). 7405322–7405322. 4 indexed citations
9.
Li, Junrong, et al.. (2016). Research Progress of Nanozymes and Its Application in Analysis. Chinese Journal of Applied Chemistry. 33(11). 1245–1252. 3 indexed citations
10.
Wan, Chunhua, Gong Chen, Hua Lu, et al.. (2016). β2-adrenergic receptor signaling promotes pancreatic ductal adenocarcinoma (PDAC) progression through facilitating PCBP2-dependent c-myc expression. Cancer Letters. 373(1). 67–76. 33 indexed citations
11.
Ni, Wenkai, Buyou Chen, Cuihua Lu, et al.. (2013). Overexpressed nuclear BAG‐1 in human hepatocellular carcinoma is associated with poor prognosis and resistance to doxorubicin. Journal of Cellular Biochemistry. 114(9). 2120–2130. 19 indexed citations
12.
Yang, Huiguang, Chun Cheng, Xiujie Wu, et al.. (2012). β-1,4-Galactosyltransferase I involved in Schwann cells proliferation and apoptosis induced by tumor necrosis factor-alpha via the activation of MAP kinases signal pathways. Molecular and Cellular Biochemistry. 365(1-2). 149–158. 16 indexed citations
13.
Qian, Xi, et al.. (2011). The role of p27(Kip1) phosphorylation at serine 10 in the migration of malignant glioma cells in vitro.. PubMed. 58(1). 65–73. 12 indexed citations
14.
Jiang, Ying, Yeqing Huang, Chun Cheng, et al.. (2011). Combination of thiazolidinedione and hydralazine suppresses proliferation and induces apoptosis by PPARγ up-expression in MDA-MB-231 cells. Experimental and Molecular Pathology. 91(3). 768–774. 18 indexed citations
15.
Zhang, Yuquan, Peng Chen, Gang Wu, et al.. (2011). Expression of NLK and Its Potential Effect in Ovarian Cancer Chemotherapy. International Journal of Gynecological Cancer. 21(8). 1380–1387. 26 indexed citations
16.
Shen, Aiguo, Shangfeng Gao, Haibo Wang, et al.. (2008). Identification and potential role of PSD-95 in Schwann cells. Neurological Sciences. 29(5). 321–330. 8 indexed citations
17.
Huang, Ye, Yonghua Liu, Ying Chen, et al.. (2008). Peripheral Nerve Lesion Induces an Up-regulation of Spy1 in Rat Spinal Cord. Cellular and Molecular Neurobiology. 29(3). 403–411. 9 indexed citations
18.
19.
Ruan, Min, et al.. (2005). Study on Adsorbtion of 5-Fluorouracil Derivatives Containing Amino Acid Schiff Base on Silver Sol. Journal of Analytical Science. 1 indexed citations
20.
Zhu, Dan, Aiguo Shen, Ying Wang, Xiaosong Gu, & Jianxin Gu. (2003). Developmental regulation of β‐1,3‐galactosyltransferase‐1 gene expression in mouse brain. FEBS Letters. 538(1-3). 163–167. 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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