Shuo Wang

5.3k total citations · 2 hit papers
141 papers, 3.8k citations indexed

About

Shuo Wang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Shuo Wang has authored 141 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 63 papers in Oncology and 32 papers in Immunology. Recurrent topics in Shuo Wang's work include Cancer Immunotherapy and Biomarkers (23 papers), Nanoplatforms for cancer theranostics (11 papers) and Inflammasome and immune disorders (11 papers). Shuo Wang is often cited by papers focused on Cancer Immunotherapy and Biomarkers (23 papers), Nanoplatforms for cancer theranostics (11 papers) and Inflammasome and immune disorders (11 papers). Shuo Wang collaborates with scholars based in China, United States and Canada. Shuo Wang's co-authors include Zhi‐Jun Sun, Qi‐Chao Yang, Yu‐He Yuan, Hongbo Wang, Nai‐Hong Chen, Shu‐Cheng Wan, Yao Xiao, Liang Zhang, Pengyan Xia and Hexiang Deng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Shuo Wang

135 papers receiving 3.7k citations

Hit Papers

The mechanisms of NLRP3 inflammasome/pyroptosis activatio... 2018 2026 2020 2023 2018 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuo Wang China 35 2.0k 915 834 713 502 141 3.8k
Xia Liu China 32 1.9k 1.0× 645 0.7× 820 1.0× 452 0.6× 560 1.1× 157 4.7k
Yingqi Hua China 33 1.8k 0.9× 827 0.9× 554 0.7× 589 0.8× 776 1.5× 104 3.7k
Wei Qiu China 40 2.5k 1.3× 860 0.9× 691 0.8× 449 0.6× 1.1k 2.2× 112 4.3k
Shuzhong Cui China 25 1.4k 0.7× 668 0.7× 455 0.5× 699 1.0× 884 1.8× 91 2.9k
Xiaoyu Liang China 28 1.3k 0.7× 454 0.5× 853 1.0× 561 0.8× 422 0.8× 65 2.7k
Kai Li China 39 3.2k 1.7× 618 0.7× 578 0.7× 681 1.0× 1.8k 3.6× 212 5.4k
Lingli Chen China 32 1.5k 0.8× 772 0.8× 460 0.6× 1.1k 1.6× 420 0.8× 103 4.0k
Ivo Que Netherlands 34 1.5k 0.8× 807 0.9× 430 0.5× 954 1.3× 238 0.5× 85 4.0k
Chang Zou China 33 2.1k 1.1× 997 1.1× 499 0.6× 451 0.6× 1.1k 2.2× 120 3.9k

Countries citing papers authored by Shuo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuo Wang. A scholar is included among the top collaborators of Shuo 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 Shuo Wang. Shuo 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.
Zhang, Liang, Boxin Zhang, Mengjie Zhang, et al.. (2025). Trigger inducible tertiary lymphoid structure formation using covalent organic frameworks for cancer immunotherapy. Nature Communications. 16(1). 44–44. 15 indexed citations
2.
Yang, Beining, et al.. (2024). DDIT3/CHOP promotes LPS/ATP-induced pyroptosis in osteoblasts via mitophagy inhibition. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1871(5). 119712–119712. 6 indexed citations
3.
Wang, Shuo, Zhi‐Zhong Wu, Shu‐Cheng Wan, et al.. (2023). CTLA-4 blockade induces tumor pyroptosis via CD8+ T cells in head and neck squamous cell carcinoma. Molecular Therapy. 31(7). 2154–2168. 35 indexed citations
4.
Liu, Jie, Shu‐Cheng Wan, Jiaxing Li, et al.. (2023). CSRP2 promotes cell stemness in head and neck squamous cell carcinoma. Head & Neck. 45(9). 2161–2172. 6 indexed citations
5.
Zhang, Liang, An Song, Qi‐Chao Yang, et al.. (2023). Integration of AIEgens into covalent organic frameworks for pyroptosis and ferroptosis primed cancer immunotherapy. Nature Communications. 14(1). 5355–5355. 143 indexed citations breakdown →
7.
Liu, Jie, Wen‐Ping Lin, Wen Su, et al.. (2023). Sunitinib attenuates reactive MDSCs enhancing anti-tumor immunity in HNSCC. International Immunopharmacology. 119. 110243–110243. 14 indexed citations
8.
Wang, Shuo, et al.. (2022). Expression of HHLA2, TMIGD2, and GITR in salivary gland adenoid cystic carcinoma and mucoepidermoid carcinoma. Journal of Oral Pathology and Medicine. 51(4). 379–387. 1 indexed citations
9.
Gao, Yuan, Yao Xiao, Shu‐Cheng Wan, et al.. (2022). Engineered nanogels simultaneously implement HDAC inhibition and chemotherapy to boost antitumor immunity via pyroptosis. Applied Materials Today. 26. 101363–101363. 12 indexed citations
10.
Zhang, Liang, Yao Xiao, Qi‐Chao Yang, et al.. (2022). Staggered Stacking Covalent Organic Frameworks for Boosting Cancer Immunotherapy. Advanced Functional Materials. 32(29). 77 indexed citations
11.
Wang, Shuo, et al.. (2022). The role of interaction between autophagy and apoptosis in tumorigenesis (Review). Oncology Reports. 48(6). 73 indexed citations
12.
Wang, Shuo, et al.. (2021). Overexpression of CD168 is related to poor prognosis in oral squamous cell carcinoma. Oral Diseases. 28(2). 364–372. 15 indexed citations
13.
Wu, Cong‐Cong, et al.. (2021). Overexpression of LAG3, TIM3, and A2aR in adenoid cystic carcinoma and mucoepidermoid carcinoma. Oral Diseases. 29(1). 175–187. 2 indexed citations
14.
Zhang, Liang, Qi‐Chao Yang, Shuo Wang, et al.. (2021). Engineering Multienzyme‐Mimicking Covalent Organic Frameworks as Pyroptosis Inducers for Boosting Antitumor Immunity. Advanced Materials. 34(13). e2108174–e2108174. 159 indexed citations
15.
Wang, Shuo, Xiaolong Wang, Zhi‐Zhong Wu, et al.. (2020). Overexpression of RRM2 is related to poor prognosis in oral squamous cell carcinoma. Oral Diseases. 27(2). 204–214. 30 indexed citations
16.
Liu, Wenbin, Jianfeng Wu, Fan Yang, et al.. (2019). Genetic Polymorphisms Predisposing the Interleukin 6–Induced APOBEC3B-UNG Imbalance Increase HCC Risk via Promoting the Generation of APOBEC-Signature HBV Mutations. Clinical Cancer Research. 25(18). 5525–5536. 30 indexed citations
18.
Li, Shijie, Ying Zhang, Wenjun Wen, et al.. (2019). A high-sensitivity thermal analysis immunochromatographic sensor based on au nanoparticle-enhanced two-dimensional black phosphorus photothermal-sensing materials. Biosensors and Bioelectronics. 133. 223–229. 82 indexed citations
19.
Klapdor, Rüdiger, Shuo Wang, Ulrich Hacker, et al.. (2017). Improved Killing of Ovarian Cancer Stem Cells by Combining a Novel Chimeric Antigen Receptor–Based Immunotherapy and Chemotherapy. Human Gene Therapy. 28(10). 886–896. 81 indexed citations
20.
Wang, Shuo, et al.. (2002). The anti-tumor effects of an anti-CD71 chimeric antibody in vitro and its distribution in a tumor xenograft model. The Chinese-German Journal of Clinical Oncology. 1(2). 109–112. 1 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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