Bingwei Wang

3.5k total citations · 1 hit paper
75 papers, 2.6k citations indexed

About

Bingwei Wang is a scholar working on Molecular Biology, Immunology and Electrical and Electronic Engineering. According to data from OpenAlex, Bingwei Wang has authored 75 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 22 papers in Immunology and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Bingwei Wang's work include Inflammasome and immune disorders (18 papers), interferon and immune responses (8 papers) and Carbon Nanotubes in Composites (6 papers). Bingwei Wang is often cited by papers focused on Inflammasome and immune disorders (18 papers), interferon and immune responses (8 papers) and Carbon Nanotubes in Composites (6 papers). Bingwei Wang collaborates with scholars based in China, Ireland and United Kingdom. Bingwei Wang's co-authors include Shuo Yang, Paul N. Moynagh, Fiachra Humphries, Sheng Li, Chunmei Ma, Yuqing Wu, Xue Liu, Yingchao Hu, Chunyan Wu and Ruimao Zheng and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Bingwei Wang

71 papers receiving 2.6k citations

Hit Papers

Succination inactivates gasdermin D and blocks pyroptosis 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bingwei Wang China 26 1.6k 888 213 201 188 75 2.6k
Nan Lü China 28 1.3k 0.8× 752 0.8× 284 1.3× 51 0.3× 349 1.9× 114 2.9k
Aleksander Edelman France 41 2.2k 1.4× 254 0.3× 115 0.5× 135 0.7× 194 1.0× 147 4.4k
Haidong Huang China 33 1.5k 0.9× 348 0.4× 385 1.8× 81 0.4× 199 1.1× 206 3.8k
Chenhui Wang China 30 861 0.5× 968 1.1× 300 1.4× 34 0.2× 388 2.1× 86 2.6k
Min Dai China 30 920 0.6× 628 0.7× 260 1.2× 127 0.6× 392 2.1× 161 2.9k
Bowen Zhou China 23 1.1k 0.7× 227 0.3× 205 1.0× 129 0.6× 239 1.3× 88 2.1k
Takao Kimura Japan 34 2.3k 1.5× 404 0.5× 233 1.1× 63 0.3× 234 1.2× 133 3.9k
Wenhao Chen China 30 952 0.6× 1.5k 1.7× 180 0.8× 39 0.2× 236 1.3× 160 3.5k
Xiaojing Liu China 33 2.1k 1.3× 377 0.4× 688 3.2× 175 0.9× 479 2.5× 190 3.9k
Meidong Liu China 24 973 0.6× 292 0.3× 242 1.1× 80 0.4× 363 1.9× 88 2.2k

Countries citing papers authored by Bingwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bingwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingwei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Bingwei Wang. A scholar is included among the top collaborators of Bingwei 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 Bingwei Wang. Bingwei 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, Xiaohan, Mansheng Li, Haolong Li, et al.. (2025). A High-Throughput Broad Neutralizing Antibody Assay for Detecting SARS-CoV-2 Variant Immunity in Population. ACS Infectious Diseases. 11(10). 2766–2779.
2.
Liu, Wei, Xinyu Wang, Yating Chen, et al.. (2025). Distinct molecular properties and functions of small EV subpopulations isolated from human umbilical cord MSCs using tangential flow filtration combined with size exclusion chromatography. Journal of Extracellular Vesicles. 14(1). e70029–e70029. 9 indexed citations
3.
Wang, Hejing, Bingwei Wang, Chunyang Wang, et al.. (2024). P‐170: Structure Optimization of Stretchable AMOLED based on LTPS TFT. SID Symposium Digest of Technical Papers. 55(1). 2033–2035.
4.
Wang, Bingwei, Yi‐hong Ding, & Xiao Tian. (2024). Benchmarking model chemistry composite calculations for vertical ionization potential of molecular systems. Chinese Chemical Letters. 36(2). 109721–109721. 5 indexed citations
6.
Zhang, Xiaohan, Mansheng Li, Nana Zhang, et al.. (2024). SARS‐CoV‐2 Evolution: Immune Dynamics, Omicron Specificity, and Predictive Modeling in Vaccinated Populations. Advanced Science. 11(40). e2402639–e2402639. 4 indexed citations
7.
Ma, Chunmei, Yuying Jiang, Lu Liu, et al.. (2024). Gasdermin D in macrophages drives orchitis by regulating inflammation and antigen presentation processes. EMBO Molecular Medicine. 16(2). 361–385. 10 indexed citations
8.
Hu, Yingchao, Honghui Li, Xiangyu Zhang, et al.. (2024). Identification of two repurposed drugs targeting GSDMD oligomerization interface I to block pyroptosis. Cell chemical biology. 31(12). 2024–2038.e7. 12 indexed citations
9.
Li, Honghui, et al.. (2024). GSDMD protects intestinal epithelial cells against bacterial infections through its N-terminal activity affecting intestinal immune homeostasis. Journal of Biomedical Research. 38(6). 585–585. 1 indexed citations
10.
Ma, Chunmei, Ying Liu, Sheng Li, et al.. (2023). Microglial cGAS drives neuroinflammation in the MPTP mouse models of Parkinson's disease. CNS Neuroscience & Therapeutics. 29(7). 2018–2035. 38 indexed citations
12.
Zhang, Chenyu, Miao Zhao, Bingwei Wang, et al.. (2021). The Nrf2-NLRP3-caspase-1 axis mediates the neuroprotective effects of Celastrol in Parkinson's disease. Redox Biology. 47. 102134–102134. 144 indexed citations
13.
Li, Zhenghua, Ziyi Li, Bingwei Wang, & Jianping Liu. (2021). Influence of release rate, dose and co-administration on pharmacokinetics, pharmacodynamics and PK-PD relationship of tanshinone IIA and tanshinol. European Journal of Pharmaceutical Sciences. 168. 106042–106042. 2 indexed citations
14.
Humphries, Fiachra, Liraz Shmuel-Galia, Natália Ketelut-Carneiro, et al.. (2020). Succination inactivates gasdermin D and blocks pyroptosis. Science. 369(6511). 1633–1637. 479 indexed citations breakdown →
15.
Ma, Chunmei, Bingwei Wang, Chunyan Wu, et al.. (2020). Gasdermin D in macrophages restrains colitis by controlling cGAS-mediated inflammation. Science Advances. 6(21). 126 indexed citations
16.
Wu, Yuqing, Yingchao Hu, Bingwei Wang, et al.. (2020). Dopamine Uses the DRD5-ARRB2-PP2A Signaling Axis to Block the TRAF6-Mediated NF-κB Pathway and Suppress Systemic Inflammation. Molecular Cell. 78(1). 42–56.e6. 67 indexed citations
17.
Humphries, Fiachra, Ronan Bergin, Ruaidhrí Jackson, et al.. (2018). The E3 ubiquitin ligase Pellino2 mediates priming of the NLRP3 inflammasome. Nature Communications. 9(1). 1560–1560. 131 indexed citations
18.
Zhang, Meng, Xiaofu Qiu, Bingwei Wang, et al.. (2017). Upregulation of FBXW7 Suppresses Renal Cancer Metastasis and Epithelial Mesenchymal Transition. Disease Markers. 2017. 1–7. 17 indexed citations
19.
Yang, Shuo, et al.. (2013). Pellino3 targets RIP1 and regulates the pro-apoptotic effects of TNF-α. Nature Communications. 4(1). 2583–2583. 40 indexed citations
20.
Li, Zhihua, Bingwei Wang, Xuefei Wu, et al.. (2005). Identification, expression and functional characterization of the GRAL gene. Journal of Neurochemistry. 95(2). 361–376. 49 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026