Shouya Feng

1.0k total citations · 2 hit papers
11 papers, 648 citations indexed

About

Shouya Feng is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Shouya Feng has authored 11 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Surgery. Recurrent topics in Shouya Feng's work include Inflammasome and immune disorders (7 papers), interferon and immune responses (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (3 papers). Shouya Feng is often cited by papers focused on Inflammasome and immune disorders (7 papers), interferon and immune responses (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (3 papers). Shouya Feng collaborates with scholars based in Australia, Germany and Japan. Shouya Feng's co-authors include Si Ming Man, Daniel Fox, Cheng Shen, Abhimanu Pandey, Chinh Ngo, Anukriti Mathur, Daniel Enosi Tuipulotu, Avril A. B. Robertson, Nadeem O. Kaakoush and Gaétan Burgio and has published in prestigious journals such as Nature Communications, Nature Immunology and Journal of Molecular Biology.

In The Last Decade

Shouya Feng

11 papers receiving 646 citations

Hit Papers

Mechanisms of Gasdermin Family Members in Inflammasome Si... 2018 2026 2020 2023 2018 2025 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shouya Feng Australia 8 531 209 100 65 61 11 648
Xiu Zhong China 4 585 1.1× 241 1.2× 134 1.3× 59 0.9× 52 0.9× 5 721
Amy H. Chan Australia 9 399 0.8× 251 1.2× 56 0.6× 29 0.4× 79 1.3× 13 665
Mayumi Sakurai Japan 14 499 0.9× 158 0.8× 52 0.5× 65 1.0× 128 2.1× 20 830
Tatiana N. Silveira Brazil 8 423 0.8× 280 1.3× 106 1.1× 25 0.4× 144 2.4× 8 736
Rainer Stahl Germany 9 440 0.8× 323 1.5× 53 0.5× 24 0.4× 69 1.1× 12 680
Claudia M. Rohr United States 12 447 0.8× 102 0.5× 134 1.3× 24 0.4× 44 0.7× 22 835
Pin Wan China 10 357 0.7× 243 1.2× 32 0.3× 27 0.4× 83 1.4× 17 563
Payel Sil United States 10 210 0.4× 233 1.1× 46 0.5× 60 0.9× 130 2.1× 13 490
Vivien I. Maltez United States 7 291 0.5× 184 0.9× 35 0.3× 29 0.4× 38 0.6× 7 473
Monique Stoffels Netherlands 12 462 0.9× 384 1.8× 43 0.4× 38 0.6× 220 3.6× 20 841

Countries citing papers authored by Shouya Feng

Since Specialization
Citations

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

Fields of papers citing papers by Shouya Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouya Feng

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

All Works

11 of 11 papers shown
1.
Feng, Shouya, Katja Hrovat-Schaale, Yaoyuan Zhang, et al.. (2025). Mechanisms of NLRP3 activation and inhibition elucidated by functional analysis of disease-associated variants. Nature Immunology. 26(3). 511–523. 24 indexed citations breakdown →
2.
Feng, Shouya, Daniel Enosi Tuipulotu, Chinh Ngo, et al.. (2024). Mouse guanylate-binding proteins of the chromosome 3 cluster do not mediate antiviral activity in vitro or in mouse models of infection. Communications Biology. 7(1). 1050–1050. 1 indexed citations
3.
Pandey, Abhimanu, Cheng Shen, Shouya Feng, et al.. (2024). Ku70 senses cytosolic DNA and assembles a tumor-suppressive signalosome. Science Advances. 10(4). eadh3409–eadh3409. 6 indexed citations
4.
Steins, Anne, Amee J. George, Shouya Feng, et al.. (2023). Cell death and barrier disruption by clinically used iodine concentrations. Life Science Alliance. 6(6). e202201875–e202201875. 4 indexed citations
5.
Tuipulotu, Daniel Enosi, et al.. (2023). Guanylate-binding proteins: mechanisms of pattern recognition and antimicrobial functions. Trends in Biochemical Sciences. 48(10). 883–893. 25 indexed citations
6.
Kay, Callum, Shouya Feng, Daniel Enosi Tuipulotu, et al.. (2022). Clostridium septicum α-toxin activates the NLRP3 inflammasome by engaging GPI-anchored proteins. Science Immunology. 7(71). eabm1803–eabm1803. 25 indexed citations
7.
Feng, Shouya, Daniel Enosi Tuipulotu, Abhimanu Pandey, et al.. (2022). Pathogen-selective killing by guanylate-binding proteins as a molecular mechanism leading to inflammasome signaling. Nature Communications. 13(1). 4395–4395. 33 indexed citations
8.
Pandey, Abhimanu, Cheng Shen, Shouya Feng, & Si Ming Man. (2021). Cell biology of inflammasome activation. Trends in Cell Biology. 31(11). 924–939. 123 indexed citations
10.
Feng, Shouya, Daniel Fox, & Si Ming Man. (2018). Mechanisms of Gasdermin Family Members in Inflammasome Signaling and Cell Death. Journal of Molecular Biology. 430(18). 3068–3080. 296 indexed citations breakdown →
11.
Mathur, Anukriti, Shouya Feng, Jenni A. Hayward, et al.. (2018). A multicomponent toxin from Bacillus cereus incites inflammation and shapes host outcome via the NLRP3 inflammasome. Nature Microbiology. 4(2). 362–374. 94 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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