Tsan Sam Xiao

115 total papers · 12.9k total citations
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 Jia‐Huai Wang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Tsan Sam Xiao

69 papers receiving 9.5k citations

Hit Papers

Activation and regulation... 2004 2026 2011 2018 2013 2010 2004 2018 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tsan Sam Xiao 6.1k 4.6k 1.3k 1.0k 720 70 9.6k
Richard Tizard 6.1k 1.0× 3.3k 0.7× 1.9k 1.5× 669 0.7× 438 0.6× 56 11.8k
Ángel L. Corbí 3.5k 0.6× 5.3k 1.1× 2.4k 1.8× 1.1k 1.0× 897 1.2× 159 10.9k
Venizelos Papayannopoulos 4.1k 0.7× 7.5k 1.6× 730 0.6× 1.2k 1.1× 1.1k 1.5× 37 10.9k
Takashi Suda 5.6k 0.9× 5.5k 1.2× 345 0.3× 1.3k 1.2× 458 0.6× 83 10.2k
Clark L. Anderson 3.9k 0.6× 3.5k 0.8× 810 0.6× 531 0.5× 277 0.4× 109 8.5k
Alan D. Schreiber 2.7k 0.4× 2.9k 0.6× 704 0.5× 734 0.7× 405 0.6× 140 8.4k
Douglas M. Lublin 2.9k 0.5× 2.8k 0.6× 394 0.3× 880 0.9× 569 0.8× 82 7.5k
Peter J. Sims 4.6k 0.8× 3.3k 0.7× 653 0.5× 394 0.4× 268 0.4× 98 9.4k
Jie‐Oh Lee 5.5k 0.9× 5.5k 1.2× 908 0.7× 1.6k 1.6× 582 0.8× 79 12.1k
Gregg J. Silverman 2.9k 0.5× 6.5k 1.4× 534 0.4× 1.1k 1.1× 1.0k 1.4× 192 10.9k

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

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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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