Si Wang

10.8k total citations · 1 hit paper
127 papers, 4.3k citations indexed

About

Si Wang is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Si Wang has authored 127 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 14 papers in Physiology and 13 papers in Cancer Research. Recurrent topics in Si Wang's work include Single-cell and spatial transcriptomics (12 papers), Pluripotent Stem Cells Research (12 papers) and Genetics, Aging, and Longevity in Model Organisms (11 papers). Si Wang is often cited by papers focused on Single-cell and spatial transcriptomics (12 papers), Pluripotent Stem Cells Research (12 papers) and Genetics, Aging, and Longevity in Model Organisms (11 papers). Si Wang collaborates with scholars based in China, United States and India. Si Wang's co-authors include Jing Qu, Guang‐Hui Liu, Weiqi Zhang, Moshi Song, Juan Carlos Izpisúa Belmonte, Shuai Ma, Zunpeng Liu, Piu Chan, Jie Ren and Zeming Wu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Si Wang

122 papers receiving 4.2k citations

Hit Papers

Exosomes from adipose-derived stem cells regulate M1/M2 m... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Si Wang China 37 2.5k 637 582 385 347 127 4.3k
Toru Nakazawa Japan 51 4.1k 1.6× 372 0.6× 713 1.2× 482 1.3× 441 1.3× 446 11.2k
Zhongjun Zhou Hong Kong 39 3.4k 1.4× 1.1k 1.7× 594 1.0× 309 0.8× 208 0.6× 121 5.7k
Ming‐Yu Yang Taiwan 31 2.1k 0.8× 651 1.0× 469 0.8× 273 0.7× 142 0.4× 149 4.2k
Chong Chen China 33 2.0k 0.8× 541 0.8× 308 0.5× 682 1.8× 192 0.6× 193 4.4k
Airong Qian China 38 2.6k 1.1× 994 1.6× 850 1.5× 327 0.8× 116 0.3× 178 5.1k
James Adjaye Germany 48 4.7k 1.9× 689 1.1× 657 1.1× 311 0.8× 151 0.4× 196 7.0k
Akira Shimamoto Japan 41 3.8k 1.5× 1.3k 2.0× 425 0.7× 459 1.2× 97 0.3× 224 5.6k
Dali Li China 44 4.2k 1.7× 779 1.2× 260 0.4× 586 1.5× 109 0.3× 164 6.0k
Patrick B. Dennis United States 22 3.7k 1.5× 343 0.5× 416 0.7× 329 0.9× 87 0.3× 52 5.0k
Stéphanie Boué Switzerland 31 3.5k 1.4× 340 0.5× 629 1.1× 194 0.5× 78 0.2× 57 4.6k

Countries citing papers authored by Si Wang

Since Specialization
Citations

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

Fields of papers citing papers by Si Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Si Wang. A scholar is included among the top collaborators of Si Wang 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 Wang. Si Wang 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.
Xu, Xuecheng, Sha Lu, Si Wang, et al.. (2025). Sparse Hierarchical LiDAR Bundle Adjustment for Online Collaborative Localization and Mapping. IEEE Robotics and Automation Letters. 10(6). 5561–5568.
2.
Yuan, Zhen, Shan Chen, Si Wang, et al.. (2025). Ultrafast (0.3 s) integrated hydrogen leakage sensor system empowered by concentration prediction algorithm. Chemical Engineering Journal. 520. 166395–166395. 3 indexed citations
3.
Liu, Bin, et al.. (2024). Scalable multifunction porous film as a thermal insulating radiative cooler and triboelectric nanogenerator to save and generate energy. Solar Energy Materials and Solar Cells. 269. 112784–112784. 3 indexed citations
4.
Wang, Si, et al.. (2024). Perspectives on biomarkers of reproductive aging for fertility and beyond. Nature Aging. 4(12). 1697–1710. 4 indexed citations
5.
Wang, Si, Renyan Zhang, Tao Yu, et al.. (2024). A Novel Multifunctional Photonic Film for Colored Passive Daytime Radiative Cooling and Energy Harvesting. Small. 20(26). e2308661–e2308661. 24 indexed citations
6.
Li, Hongyu, Min Wang, Xiaoyu Jiang, et al.. (2024). CRISPR screening uncovers nucleolar RPL22 as a heterochromatin destabilizer and senescence driver. Nucleic Acids Research. 52(19). 11481–11499. 5 indexed citations
7.
Lei, Jinghui, Xiaoyu Jiang, Daoyuan Huang, et al.. (2023). Human ESC-derived vascular cells promote vascular regeneration in a HIF-1α dependent manner. Protein & Cell. 15(1). 36–51. 7 indexed citations
8.
Yan, Haoteng, Si Wang, Weiqi Zhang, et al.. (2023). Degeneration Directory: a multi-omics web resource for degenerative diseases. Protein & Cell. 15(5). 385–392. 2 indexed citations
9.
Liu, Fei‐Fei, Yi Lü, Xuebao Wang, et al.. (2023). Identification of FOXO1 as a geroprotector in human synovium through single-nucleus transcriptomic profiling. Protein & Cell. 15(6). 441–459. 10 indexed citations
11.
Jing, Ying, Yuesheng Zuo, Yang Yu, et al.. (2022). Single-nucleus profiling unveils a geroprotective role of the FOXO3 in primate skeletal muscle aging. Protein & Cell. 14(7). 497–512. 40 indexed citations
12.
Wang, Si, et al.. (2022). Identification of Diagnostic Biomarkers Associated with Stromal and Immune Cell Infiltration in Fatty Infiltration After Rotator Cuff Tear by Integrating Bioinformatic Analysis and Machine-Learning. SHILAP Revista de lepidopterología. 3 indexed citations
13.
Wang, Wei, Yuxuan Zheng, Shuhui Sun, et al.. (2021). A genome-wide CRISPR-based screen identifies KAT7 as a driver of cellular senescence. Science Translational Medicine. 13(575). 108 indexed citations
14.
Jiang, Congshan, Xiaoying Wu, Xiaowei Li, et al.. (2021). Loss of microRNA‐147 function alleviates synovial inflammation through ZNF148 in rheumatoid and experimental arthritis. European Journal of Immunology. 51(8). 2062–2073. 11 indexed citations
15.
Xu, Jing, Congshan Jiang, Xipeng Wang, et al.. (2020). Upregulated PKM2 in Macrophages Exacerbates Experimental Arthritis via STAT1 Signaling. The Journal of Immunology. 205(1). 181–192. 30 indexed citations
16.
Zhang, Weiqi, Shu Zhang, Pengze Yan, et al.. (2020). A single-cell transcriptomic landscape of primate arterial aging. Nature Communications. 11(1). 2202–2202. 95 indexed citations
17.
Wang, Si, Wenhua Zhu, Jing Xu, et al.. (2019). Interpreting the MicroRNA-15/107 family: interaction identification by combining network based and experiment supported approach. BMC Medical Genetics. 20(1). 96–96. 11 indexed citations
18.
Wang, Si, Roberta Noberini, John L. Stebbins, et al.. (2012). Targeted Delivery of Paclitaxel to EphA2-Expressing Cancer Cells. Clinical Cancer Research. 19(1). 128–137. 56 indexed citations
19.
Wang, Si. (2009). Effects of Genistein on morphological changes in cultured hippocampal neurons following β-Amyloid_((25-35))-induced apoptosis. Di-Si Junyi Daxue xuebao. 1 indexed citations
20.
Wang, Si. (2007). Cold-hardiness of Locusta migratoria tibetensis in each developmental stage. Kunchong zhishi. 2 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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