Shanshan Gu

3.3k total citations · 1 hit paper
37 papers, 2.5k citations indexed

About

Shanshan Gu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Shanshan Gu has authored 37 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Shanshan Gu's work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (4 papers) and Virus-based gene therapy research (3 papers). Shanshan Gu is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (4 papers) and Virus-based gene therapy research (3 papers). Shanshan Gu collaborates with scholars based in China, Madagascar and Mongolia. Shanshan Gu's co-authors include Huang‐Tian Yang, Wei Gu, Xiang Yang, Junxia Min, Xiangju Yin, Dan Han, Nali Zhu, Wei Dai, Qi Cheng and Enjun Xie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cell Metabolism and Frontiers in Immunology.

In The Last Decade

Shanshan Gu

36 papers receiving 2.5k citations

Hit Papers

Ferroptosis as a target for protection against cardiomyop... 2019 2026 2021 2023 2019 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Ferroptosis as a target for protection against cardiomyopathy
    2019 1.6k citations Shanshan Gu, Huang‐Tian Yang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanshan Gu China 15 1.6k 1.0k 752 278 274 37 2.5k
Xiang Zhu China 25 1.2k 0.7× 387 0.4× 515 0.7× 408 1.5× 88 0.3× 71 2.2k
Chwen-Ming Shih Taiwan 29 971 0.6× 251 0.2× 367 0.5× 275 1.0× 77 0.3× 49 2.5k
Zhuang Yu China 28 1.3k 0.8× 428 0.4× 543 0.7× 429 1.5× 66 0.2× 144 2.4k
Yichen Liu China 22 1.3k 0.8× 729 0.7× 840 1.1× 246 0.9× 55 0.2× 111 2.5k
Min Lü China 35 1.3k 0.8× 308 0.3× 285 0.4× 364 1.3× 70 0.3× 126 3.2k
Hui Chen China 25 1.1k 0.7× 181 0.2× 276 0.4× 219 0.8× 229 0.8× 125 2.4k
Nicoletta Ferrari Italy 36 2.0k 1.2× 366 0.4× 737 1.0× 785 2.8× 56 0.2× 113 3.7k

Countries citing papers authored by Shanshan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Gu. A scholar is included among the top collaborators of Shanshan Gu 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 Shanshan Gu. Shanshan Gu 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, Zifeng, Limei Yin, Shilei Zhao, et al.. (2025). Evolutionary divergence on the Qinghai–Xizang Plateau: How life-history traits shape the diversity of plateau zokor and pika populations. Journal of genetics and genomics. 52(9). 1096–1108.
2.
Zhao, Zhiju, Xu He, Shanshan Gu, et al.. (2024). Chemically defined and growth factor-free system for highly efficient endoderm induction of human pluripotent stem cells. Stem Cell Reports. 20(1). 102382–102382. 1 indexed citations
3.
Wang, Qiyuan, Bin Li, Wei Yan, et al.. (2024). Sphingolipid metabolism controls mammalian heart regeneration. Cell Metabolism. 36(4). 839–856.e8. 34 indexed citations
4.
Gu, Shanshan, et al.. (2023). Spatial metabolomics in head and neck tumors: a review. Frontiers in Oncology. 13. 1213273–1213273. 6 indexed citations
5.
Liu, Fang, Zhun Liu, Weisheng Cheng, et al.. (2023). The PERK Branch of the Unfolded Protein Response Safeguards Protein Homeostasis and Mesendoderm Specification of Human Pluripotent Stem Cells. Advanced Science. 10(35). e2303799–e2303799. 5 indexed citations
6.
Gu, Shanshan, Lin Chen, Yanguo Li, et al.. (2023). Neddylation inhibitor MLN4924 sensitizes head and neck squamous carcinoma cells to (S)-10-hydroxycamptothecin. European journal of medical research. 28(1). 326–326. 5 indexed citations
7.
Wang, Qiyuan, et al.. (2023). Integrated metabolic and epigenetic mechanisms in cardiomyocyte proliferation. Journal of Molecular and Cellular Cardiology. 181. 79–88. 8 indexed citations
8.
Wang, Jia, Shanshan Gu, Fang Liu, et al.. (2022). Reprogramming of fibroblasts into expandable cardiovascular progenitor cells via small molecules in xeno-free conditions. Nature Biomedical Engineering. 6(4). 403–420. 25 indexed citations
9.
Deng, Hongxia, Jianing Wang, Dong Ye, et al.. (2022). A 5’-tiRNA fragment that inhibits proliferation and migration of laryngeal squamous cell carcinoma by targeting PIK3CD. Genomics. 114(4). 110392–110392. 17 indexed citations
10.
Zhou, Xia, Xiaoyi Chen, Xiaoxia Wang, et al.. (2020). SAP97 polymorphisms associated with early onset Parkinson’s disease. Neuroscience Letters. 728. 134931–134931. 5 indexed citations
11.
Tan, Jiliang, Shanshan Gu, Yanjun Zheng, & Huang‐Tian Yang. (2019). Expression profile of circular RNAs in myocardial ischemia/reperfusion with and without intermittent hypobaric hypoxia preconditioning. Science China Life Sciences. 62(8). 1104–1106. 5 indexed citations
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14.
Ge, Junwei, Yunjia Shi, Xingyang Cui, et al.. (2018). Rapid and sensitive detection of mink circovirus by recombinase polymerase amplification. Journal of Virological Methods. 256. 1–5. 8 indexed citations
15.
Shi, Yunjia, Xingyang Cui, Shanshan Gu, et al.. (2018). Antioxidative and Probiotic Activities of Lactic Acid Bacteria Isolated from Traditional Artisanal Milk Cheese from Northeast China. Probiotics and Antimicrobial Proteins. 11(4). 1086–1099. 68 indexed citations
16.
Cui, Xingyang, Yunjia Shi, Lili Zhao, et al.. (2018). Application of Real-Time Quantitative PCR to Detect Mink Circovirus in Naturally and Experimentally Infected Minks. Frontiers in Microbiology. 9. 937–937. 13 indexed citations
17.
Yan, Xin, Shanshan Gu, Yunjia Shi, et al.. (2017). The effect of emodin on Staphylococcus aureus strains in planktonic form and biofilm formation in vitro. Archives of Microbiology. 199(9). 1267–1275. 74 indexed citations
18.
Cui, Xingyang, Yunjia Shi, Shanshan Gu, et al.. (2017). Antibacterial and Antibiofilm Activity of Lactic Acid Bacteria Isolated from Traditional Artisanal Milk Cheese from Northeast China Against Enteropathogenic Bacteria. Probiotics and Antimicrobial Proteins. 10(4). 601–610. 63 indexed citations
19.
Gu, Shanshan, Rong Han, Guowei Zhang, et al.. (2016). Functional SNP in 3′-UTR MicroRNA-Binding Site ofZNF350Confers Risk for Age-Related Cataract. Human Mutation. 37(11). 1223–1230. 20 indexed citations
20.
Gu, Shanshan, Ning Shi, & Man-Ping Wu. (2007). The protective effect of ApolipoproteinA-I on myocardial ischemia–reperfusion injury in rats. Life Sciences. 81(9). 702–709. 22 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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