Sheng Xiao

6.2k total citations · 4 hit papers
13 papers, 3.8k citations indexed

About

Sheng Xiao is a scholar working on Immunology, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Sheng Xiao has authored 13 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 3 papers in Pathology and Forensic Medicine and 1 paper in Pharmacology. Recurrent topics in Sheng Xiao's work include T-cell and B-cell Immunology (8 papers), Psoriasis: Treatment and Pathogenesis (6 papers) and Immune Cell Function and Interaction (5 papers). Sheng Xiao is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Psoriasis: Treatment and Pathogenesis (6 papers) and Immune Cell Function and Interaction (5 papers). Sheng Xiao collaborates with scholars based in United States, Switzerland and Lebanon. Sheng Xiao's co-authors include Vijay K. Kuchroo, Chuan Wu, Aviv Regev, Nir Yosef, Francisco J. Quintana, Chen Zhu, David A. Hafler, Theresa Thalhamer, Nicole Joller and Yasuhiro Kishi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Sheng Xiao

13 papers receiving 3.8k citations

Hit Papers

Induction and molecular signature of pathogenic TH17 cells 2010 2026 2015 2020 2012 2013 2014 2010 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Induction and molecular signature of pathogenic TH17 cells
    2012 914 citations Youjin Lee, Amit Awasthi et al. Nature Immunology profile →
  2. Induction of pathogenic TH17 cells by inducible salt-sensing kinase SGK1
    2013 813 citations Chuan Wu, Nir Yosef et al. Nature profile →
  3. Treg Cells Expressing the Coinhibitory Molecule TIGIT Selectively Inhibit Proinflammatory Th1 and Th17 Cell Responses
    2014 714 citations Nicole Joller, Ester Lozano et al. Immunity profile →
  4. The aryl hydrocarbon receptor interacts with c-Maf to promote the differentiation of type 1 regulatory T cells induced by IL-27
    2010 593 citations Lionel Apétoh, Francisco J. Quintana et al. Nature Immunology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng Xiao United States 12 2.6k 760 647 312 292 13 3.8k
Emilie Vénéreau Italy 14 1.5k 0.6× 867 1.1× 373 0.6× 104 0.3× 307 1.1× 20 3.1k
João H. Duarte United Kingdom 14 2.0k 0.8× 720 0.9× 352 0.5× 63 0.2× 255 0.9× 49 3.2k
Florian C. Kurschus Germany 26 1.7k 0.7× 831 1.1× 374 0.6× 78 0.3× 218 0.7× 47 3.1k
Marisa Vulcano Italy 17 1.4k 0.5× 426 0.6× 458 0.7× 165 0.5× 338 1.2× 30 2.4k
Hoshio Hiraide Japan 31 1.6k 0.6× 553 0.7× 598 0.9× 178 0.6× 159 0.5× 89 3.0k
Lloyd Mayer United States 15 1.1k 0.4× 1.0k 1.3× 464 0.7× 144 0.5× 558 1.9× 27 3.7k
Birgitta Schmidt United States 18 892 0.3× 718 0.9× 418 0.6× 989 3.2× 389 1.3× 59 2.9k
Roberto Caricchio United States 26 2.3k 0.9× 1.3k 1.7× 348 0.5× 122 0.4× 530 1.8× 64 4.2k
Mandy L. Ford United States 39 2.7k 1.1× 911 1.2× 581 0.9× 126 0.4× 170 0.6× 179 4.9k
Pietro Di Lucia Italy 18 1.2k 0.5× 338 0.4× 497 0.8× 148 0.5× 360 1.2× 25 2.7k

Countries citing papers authored by Sheng Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Xiao

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

All Works

13 of 13 papers shown
1.
Fu, Huihui, Jiaxin Jin, Sheng Xiao, et al.. (2025). The analysis of distinctive lipid metabolism characteristics in dry-cured beef during processing. Food Chemistry X. 28. 102540–102540. 1 indexed citations
2.
Wu, Chuan, Zuojia Chen, Valérie Dardalhon, et al.. (2017). The transcription factor musculin promotes the unidirectional development of peripheral Treg cells by suppressing the TH2 transcriptional program. Nature Immunology. 18(3). 344–353. 48 indexed citations
3.
Kishi, Yasuhiro, Takaaki Kondo, Sheng Xiao, et al.. (2016). Protein C receptor (PROCR) is a negative regulator of Th17 pathogenicity. The Journal of Experimental Medicine. 213(11). 2489–2501. 49 indexed citations
4.
Kurdi, Ahmed T., Ribal Bassil, Marta Olah, et al.. (2016). Tiam1/Rac1 complex controls Il17a transcription and autoimmunity. Nature Communications. 7(1). 13048–13048. 38 indexed citations
5.
Hörste, Gerd Meyer zu, Chuan Wu, Chao Wang, et al.. (2016). RBPJ Controls Development of Pathogenic Th17 Cells by Regulating IL-23 Receptor Expression. Cell Reports. 16(2). 392–404. 82 indexed citations
6.
Lee, Youjin, Meike Mitsdoerffer, Sheng Xiao, et al.. (2015). IL-21R signaling is critical for induction of spontaneous experimental autoimmune encephalomyelitis. Journal of Clinical Investigation. 125(11). 4011–4020. 30 indexed citations
7.
Joller, Nicole, Ester Lozano, Patrick R. Burkett, et al.. (2014). Treg Cells Expressing the Coinhibitory Molecule TIGIT Selectively Inhibit Proinflammatory Th1 and Th17 Cell Responses. Immunity. 40(4). 569–581. 714 indexed citations breakdown →
8.
Kofler, David M., Alexander Marson, Margarita Dominguez‐Villar, et al.. (2014). Decreased RORC-dependent silencing of prostaglandin receptor EP2 induces autoimmune Th17 cells. Journal of Clinical Investigation. 124(6). 2513–2522. 32 indexed citations
9.
Wu, Chuan, Nir Yosef, Theresa Thalhamer, et al.. (2013). Induction of pathogenic TH17 cells by inducible salt-sensing kinase SGK1. Nature. 496(7446). 513–517. 813 indexed citations breakdown →
10.
Wu, Chuan, Caroline Pot, Lionel Apétoh, et al.. (2013). Metallothioneins negatively regulate IL-27–induced type 1 regulatory T-cell differentiation. Proceedings of the National Academy of Sciences. 110(19). 7802–7807. 40 indexed citations
11.
Lee, Youjin, Amit Awasthi, Nir Yosef, et al.. (2012). Induction and molecular signature of pathogenic TH17 cells. Nature Immunology. 13(10). 991–999. 914 indexed citations breakdown →
12.
Apétoh, Lionel, Francisco J. Quintana, Caroline Pot, et al.. (2010). The aryl hydrocarbon receptor interacts with c-Maf to promote the differentiation of type 1 regulatory T cells induced by IL-27. Nature Immunology. 11(9). 854–861. 593 indexed citations breakdown →
13.
Xiao, Sheng, Hulin Jin, Thomas Korn, et al.. (2008). Retinoic Acid Increases Foxp3+ Regulatory T Cells and Inhibits Development of Th17 Cells by Enhancing TGF-β-Driven Smad3 Signaling and Inhibiting IL-6 and IL-23 Receptor Expression. The Journal of Immunology. 181(4). 2277–2284. 432 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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