Si Wu

659 total citations · 1 hit paper
19 papers, 344 citations indexed

About

Si Wu is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Si Wu has authored 19 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Immunology. Recurrent topics in Si Wu's work include Cancer-related molecular mechanisms research (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Cervical Cancer and HPV Research (2 papers). Si Wu is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Cervical Cancer and HPV Research (2 papers). Si Wu collaborates with scholars based in China, Singapore and United States. Si Wu's co-authors include Chuchu Wang, M Snyder, Wenyu Zhou, Xin Zhou, Xiaotao Shen, Daniel Hornburg, Xiaotian Zhang, Zhengrong Sun, Dongming Zheng and Weishuai Li and has published in prestigious journals such as Experimental Cell Research, The International Journal of Biochemistry & Cell Biology and Osteoporosis International.

In The Last Decade

Si Wu

19 papers receiving 338 citations

Hit Papers

Nonlinear dynamics of multi-omics profiles during human a... 2024 2026 2025 2024 40 80 120
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. Nonlinear dynamics of multi-omics profiles during human aging
    2024 141 citations Xiaotao Shen, Chuchu Wang et al. Nature Aging profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Si Wu China 9 126 54 46 43 42 19 344
Laura Planas‐Serra Spain 8 112 0.9× 68 1.3× 57 1.2× 25 0.6× 32 0.8× 10 298
Francesco Elia Marino Australia 12 210 1.7× 21 0.4× 39 0.8× 32 0.7× 86 2.0× 27 473
Alejandro Rojas‐Fernández Chile 15 309 2.5× 65 1.2× 34 0.7× 51 1.2× 78 1.9× 36 669
Sabine Schröder Germany 13 99 0.8× 24 0.4× 51 1.1× 28 0.7× 23 0.5× 34 458
Eleonora Leggiero Italy 12 172 1.4× 10 0.2× 20 0.4× 27 0.6× 48 1.1× 16 325
Paola Vázquez-Cárdenas Mexico 8 110 0.9× 67 1.2× 19 0.4× 35 0.8× 28 0.7× 12 332
K. Huber Austria 10 122 1.0× 33 0.6× 46 1.0× 99 2.3× 76 1.8× 22 434
В. Н. Максимов Russia 10 145 1.2× 9 0.2× 56 1.2× 41 1.0× 42 1.0× 158 461
Renée Guérin Canada 14 296 2.3× 31 0.6× 47 1.0× 58 1.3× 56 1.3× 30 577

Countries citing papers authored by Si Wu

Since Specialization
Citations

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

Fields of papers citing papers by Si Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Si Wu. A scholar is included among the top collaborators of Si Wu 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 Si Wu. Si Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Shen, Xiaotao, Chuchu Wang, Xin Zhou, et al.. (2024). Nonlinear dynamics of multi-omics profiles during human aging. Nature Aging. 4(11). 1619–1634. 141 indexed citations breakdown →
2.
Li, Jiaxing, et al.. (2024). USP15, activated by TFAP4 transcriptionally, stabilizes SHC1 via deubiquitination and deteriorates renal cell carcinoma. Cancer Science. 115(8). 2617–2629. 2 indexed citations
3.
Yu, Miao, et al.. (2023). Polymorphism of E6 and E7 Genes in Human Papillomavirus Types 31 and 33 in Northeast China. Canadian Journal of Infectious Diseases and Medical Microbiology. 2023(1). 9338294–9338294. 2 indexed citations
4.
Wang, Yibei, Ziwei Miao, Xiaoxue Qin, et al.. (2023). Transcriptomic landscape based on annotated clinical features reveals PLPP2 involvement in lipid raft-mediated proliferation signature of early-stage lung adenocarcinoma. Journal of Experimental & Clinical Cancer Research. 42(1). 315–315. 8 indexed citations
5.
6.
Zhou, Guangyu, et al.. (2021). Silencing of RSPO1 mitigates obesity-related renal fibrosis in mice by deactivating Wnt/β-catenin pathway. Experimental Cell Research. 405(2). 112713–112713. 11 indexed citations
7.
Bai, Shuang, Rui Ye, Cuihong Wang, et al.. (2021). Identification of Proteomic Signatures in Chronic Obstructive Pulmonary Disease Emphysematous Phenotype. Frontiers in Molecular Biosciences. 8. 650604–650604. 8 indexed citations
8.
Wu, Si, et al.. (2021). Neurotrophic factor levels in the serum and cerebrospinal fluid of neonates infected with human cytomegalovirus. Microbiology and Immunology. 65(9). 373–382. 1 indexed citations
9.
10.
Zhang, Qiang, et al.. (2020). Bibliometric analysis of subject trends and knowledge structures of gut microbiota. World Journal of Clinical Cases. 8(13). 2817–2832. 20 indexed citations
11.
Yang, Jun, Junwen Chen, Si Wu, et al.. (2020). <p>Microarray Expression Profiles and Bioinformatics Analyses Reveal Aberrant Circular RNAs Expression in Bladder Cancer</p>. OncoTargets and Therapy. Volume 13. 10889–10899. 1 indexed citations
12.
Zhang, Qiang, et al.. (2020). Identification of key genes involved in JAK/STAT pathway in colorectal cancer. Molecular Immunology. 128. 287–297. 12 indexed citations
13.
Wu, Si, Yiping Lu, Miao Yu, et al.. (2020). STAT1 expression and HPV16 viral load predict cervical lesion progression. Oncology Letters. 20(4). 28–28. 14 indexed citations
14.
Wu, Si, et al.. (2019). Camel milk regulates T‐cell proliferation to alleviate dextran sodium sulphate‐induced colitis in mice. International Journal of Food Science & Technology. 55(4). 1648–1660. 7 indexed citations
15.
Li, Weishuai, Si Wu, Xiaotian Zhang, et al.. (2018). Clinical characteristics and short-term prognosis of LGI1 antibody encephalitis: a retrospective case study. BMC Neurology. 18(1). 96–96. 54 indexed citations
16.
Nao, Jianfei, Han Zhang, Si Wu, Xiaotian Zhang, & Dongming Zheng. (2018). Posterior reversible encephalopathy syndrome with spinal cord involvement (PRES-SCI) as a rare complication of severe diabetic ketoacidosis: a case report and review of the literature. Child s Nervous System. 34(4). 701–705. 6 indexed citations
17.
Wang, Shuang, et al.. (2018). Human cytomegalovirus UL141 protein interacts with CELF5 and affects viral DNA replication. Molecular Medicine Reports. 17(3). 4657–4664. 7 indexed citations
18.
Chen, Zuhua, et al.. (2018). Transcriptome-wide analysis of alternative mRNA splicing signature in the diagnosis and prognosis of stomach adenocarcinoma. Oncology Reports. 40(4). 2014–2022. 18 indexed citations
19.
Li, Yingjie, et al.. (2015). Interleukin-35 upregulates OPG and inhibits RANKL in mice with collagen-induced arthritis and fibroblast-like synoviocytes. Osteoporosis International. 27(4). 1537–1546. 21 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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