Tsan Sam Xiao

13.0k total citations · 4 hit papers
70 papers, 9.6k citations indexed

About

Tsan Sam Xiao is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Tsan Sam Xiao has authored 70 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 33 papers in Immunology and 7 papers in Cell Biology. Recurrent topics in Tsan Sam Xiao's work include Inflammasome and immune disorders (26 papers), interferon and immune responses (19 papers) and Immune Response and Inflammation (19 papers). Tsan Sam Xiao is often cited by papers focused on Inflammasome and immune disorders (26 papers), interferon and immune responses (19 papers) and Immune Response and Inflammation (19 papers). Tsan Sam Xiao collaborates with scholars based in United States, China and Germany. Tsan Sam Xiao's co-authors include Eicke Latz, Andrea Stutz, Timothy A. Springer, Tengchuan Jin, Katherine A. Fitzgerald, Junichi Takagi, Jie Yang, Jiansheng Jiang, Leonie Unterholzner and Andrew Bowie and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Tsan Sam Xiao

70 papers receiving 9.6k citations

Hit Papers

Activation and regulation of the inflammasomes 2004 2026 2011 2018 2013 2010 2004 2018 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tsan Sam Xiao United States 33 6.1k 4.6k 1.3k 1.0k 721 70 9.6k
Ángel L. Corbí Spain 56 3.5k 0.6× 5.3k 1.1× 2.4k 1.8× 1.1k 1.0× 898 1.2× 160 10.9k
Venizelos Papayannopoulos United Kingdom 32 4.1k 0.7× 7.6k 1.6× 739 0.6× 1.2k 1.1× 1.1k 1.5× 37 11.1k
Falk Nimmerjahn Germany 61 7.2k 1.2× 10.4k 2.2× 851 0.6× 1.7k 1.7× 1.2k 1.6× 205 18.2k
Takashi Suda Japan 41 5.7k 0.9× 5.5k 1.2× 345 0.3× 1.3k 1.2× 457 0.6× 83 10.2k
Gregg J. Silverman United States 51 2.9k 0.5× 6.5k 1.4× 532 0.4× 1.1k 1.1× 1.0k 1.4× 191 10.9k
Hisashi Narimatsu Japan 65 8.8k 1.4× 3.4k 0.7× 430 0.3× 1.8k 1.7× 336 0.5× 300 13.1k
Alan D. Schreiber United States 50 2.7k 0.4× 2.9k 0.6× 701 0.5× 733 0.7× 405 0.6× 140 8.4k
Richard Horuk United States 62 3.8k 0.6× 8.3k 1.8× 1.2k 0.9× 1.2k 1.1× 1.1k 1.6× 151 15.3k
Douglas M. Lublin United States 49 2.9k 0.5× 2.8k 0.6× 394 0.3× 879 0.9× 568 0.8× 82 7.5k
Eckhard R. Podack United States 64 3.9k 0.6× 9.0k 1.9× 529 0.4× 1.4k 1.4× 627 0.9× 254 14.0k

Countries citing papers authored by Tsan Sam Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Tsan Sam Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsan Sam Xiao. 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 Tsan Sam Xiao. The network helps show where Tsan Sam Xiao may publish in the future.

Co-authorship network of co-authors of Tsan Sam Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Tsan Sam Xiao. A scholar is included among the top collaborators of Tsan Sam Xiao 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 Tsan Sam Xiao. Tsan Sam Xiao 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.
Z, Liu & Tsan Sam Xiao. (2025). Rings of death: How NINJ1 executes plasma membrane rupture. Cell. 188(2). 277–279. 5 indexed citations
2.
Liu, Zhonghua, Chuanping Wang, Ling Li, et al.. (2024). Palmitoylation at a conserved cysteine residue facilitates gasdermin D-mediated pyroptosis and cytokine release. Proceedings of the National Academy of Sciences. 121(29). e2400883121–e2400883121. 26 indexed citations
3.
Z, Liu, et al.. (2023). SARS-CoV-2 ORF3a-Mediated NF-κB Activation Is Not Dependent on TRAF-Binding Sequence. Viruses. 15(11). 2229–2229. 3 indexed citations
4.
Liu, Weiwei, Han Wang, Hao Zhou, et al.. (2022). TH17 cells promote CNS inflammation by sensing danger signals via Mincle. Nature Communications. 13(1). 2406–2406. 17 indexed citations
5.
Bruchez, Anna, Zhenlu Li, Zhonghua Liu, et al.. (2022). Trimeric receptor-binding domain of SARS-CoV-2 acts as a potent inhibitor of ACE2 receptor-mediated viral entry. iScience. 25(8). 104716–104716. 9 indexed citations
6.
Liu, Zhonghua, Yiqing Zhao, Jie Yang, et al.. (2022). PD-L1 expression is regulated by ATP-binding of the ERBB3 pseudokinase domain. Genes & Diseases. 10(4). 1702–1713. 8 indexed citations
7.
Fan, Xiaojiao, Jiansheng Jiang, Dan Zhao, et al.. (2021). Structural mechanism of DNA recognition by the p204 HIN domain. Nucleic Acids Research. 49(5). 2959–2972. 12 indexed citations
8.
Luo, Huacheng, Qin Yu, Ming Tang, et al.. (2020). LATS kinase–mediated CTCF phosphorylation and selective loss of genomic binding. Science Advances. 6(8). eaaw4651–eaaw4651. 29 indexed citations
9.
Li, Yajuan, Yi Huang, Xiaocong Cao, et al.. (2018). Functional and structural characterization of zebrafish ASC. FEBS Journal. 285(14). 2691–2707. 28 indexed citations
10.
Jin, Tengchuan, Mo Huang, Jiansheng Jiang, Patrick Smith, & Tsan Sam Xiao. (2018). Crystal structure of human NLRP12 PYD domain and implication in homotypic interaction. PLoS ONE. 13(1). e0190547–e0190547. 9 indexed citations
11.
Yang, Jie, Liu Z, Chuanping Wang, et al.. (2018). Mechanism of gasdermin D recognition by inflammatory caspases and their inhibition by a gasdermin D-derived peptide inhibitor. Proceedings of the National Academy of Sciences. 115(26). 6792–6797. 150 indexed citations
12.
Rathkey, Joseph K., Junjie Zhao, Zhonghua Liu, et al.. (2018). Chemical disruption of the pyroptotic pore-forming protein gasdermin D inhibits inflammatory cell death and sepsis. Science Immunology. 3(26). 460 indexed citations breakdown →
13.
Bertheloot, Damien, Gábor Horváth, Tengchuan Jin, et al.. (2016). RAGE Enhances TLR Responses through Binding and Internalization of RNA. The Journal of Immunology. 197(10). 4118–4126. 50 indexed citations
14.
Yang, Jie, Zhonghua Liu, & Tsan Sam Xiao. (2016). Post-translational regulation of inflammasomes. Cellular and Molecular Immunology. 14(1). 65–79. 173 indexed citations
15.
Hong, Jingjun, Hanqiao Feng, Feng Wang, et al.. (2014). The Catalytic Subunit of the SWR1 Remodeler Is a Histone Chaperone for the H2A.Z-H2B Dimer. Molecular Cell. 53(3). 498–505. 65 indexed citations
16.
Kato, Hidenori, Jiansheng Jiang, Bing‐Rui Zhou, et al.. (2013). A Conserved Mechanism for Centromeric Nucleosome Recognition by Centromere Protein CENP-C. Science. 340(6136). 1110–1113. 252 indexed citations
17.
Jakobsen, Martin R., Rasmus O. Bak, R. Berg, et al.. (2013). IFI16 senses DNA forms of the lentiviral replication cycle and controls HIV-1 replication. Proceedings of the National Academy of Sciences. 110(48). E4571–80. 263 indexed citations
18.
Latz, Eicke, Tsan Sam Xiao, & Andrea Stutz. (2013). Activation and regulation of the inflammasomes. Nature reviews. Immunology. 13(6). 397–411. 2333 indexed citations breakdown →
19.
Xiao, Tsan Sam. (2008). Innate immune recognition of nucleic acids. Immunologic Research. 43(1-3). 98–108. 24 indexed citations
20.
Shimaoka, Motomu, Tsan Sam Xiao, Yuting Yang, et al.. (2003). Structures of the αL I Domain and Its Complex with ICAM-1 Reveal a Shape-Shifting Pathway for Integrin Regulation. Cell. 112(1). 99–111. 429 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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