Chengcan Yao

3.2k total citations
22 papers, 1.5k citations indexed

About

Chengcan Yao is a scholar working on Pharmacology, Immunology and Genetics. According to data from OpenAlex, Chengcan Yao has authored 22 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pharmacology, 9 papers in Immunology and 6 papers in Genetics. Recurrent topics in Chengcan Yao's work include Inflammatory mediators and NSAID effects (13 papers), Estrogen and related hormone effects (6 papers) and NF-κB Signaling Pathways (6 papers). Chengcan Yao is often cited by papers focused on Inflammatory mediators and NSAID effects (13 papers), Estrogen and related hormone effects (6 papers) and NF-κB Signaling Pathways (6 papers). Chengcan Yao collaborates with scholars based in Japan, United Kingdom and United States. Chengcan Yao's co-authors include Shuh Narumiya, Daiji Sakata, Toshiyuki Matsuoka, Youxian Li, Yoshiyasu Esaki, Yukihiko Sugimoto, Kenji Kuroiwa, Adriano G. Rossi, Calum T. Robb and Takako Hirata and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Chengcan Yao

21 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengcan Yao Japan 14 533 413 358 204 186 22 1.5k
MyTrang Nguyen United States 19 449 0.8× 559 1.4× 742 2.1× 141 0.7× 316 1.7× 27 2.0k
Justine Newson United Kingdom 20 775 1.5× 227 0.5× 573 1.6× 142 0.7× 143 0.8× 21 2.0k
Taisuke Ohira United States 13 523 1.0× 189 0.5× 545 1.5× 177 0.9× 192 1.0× 22 1.8k
Melanie Stables United Kingdom 11 652 1.2× 147 0.4× 461 1.3× 101 0.5× 144 0.8× 13 1.7k
Jean‐Yves Jouzeau France 24 343 0.6× 244 0.6× 506 1.4× 128 0.6× 122 0.7× 64 1.4k
Joseph P. Portanova United States 20 861 1.6× 610 1.5× 473 1.3× 246 1.2× 200 1.1× 27 2.1k
Iolanda M. Fierro Brazil 22 707 1.3× 303 0.7× 864 2.4× 150 0.7× 234 1.3× 42 2.1k
Yoshimi Miki Japan 22 325 0.6× 133 0.3× 888 2.5× 121 0.6× 219 1.2× 41 1.8k
Bing-Chang Chen Taiwan 24 311 0.6× 173 0.4× 711 2.0× 251 1.2× 193 1.0× 44 1.5k
Jean Y. Park United States 9 218 0.4× 240 0.6× 770 2.2× 256 1.3× 498 2.7× 10 2.0k

Countries citing papers authored by Chengcan Yao

Since Specialization
Citations

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

Fields of papers citing papers by Chengcan Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengcan Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Chengcan Yao. A scholar is included among the top collaborators of Chengcan Yao 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 Chengcan Yao. Chengcan Yao 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.
Clapp, Lucie H., Mark A. Giembycz, Ákos Heinemann, et al.. (2023). Prostanoid receptors in GtoPdb v.2023.1. IUPHAR/BPS Guide to Pharmacology CITE. 2023(1).
2.
Robb, Calum T., You Zhou, Jennifer M. Felton, et al.. (2022). Metabolic regulation by prostaglandin E 2 impairs lung group 2 innate lymphoid cell responses. Allergy. 78(3). 714–730. 10 indexed citations
3.
4.
Clapp, Lucie H., Mark A. Giembycz, Ákos Heinemann, et al.. (2021). Prostanoid receptors in GtoPdb v.2021.2. IUPHAR/BPS Guide to Pharmacology CITE. 2021(2). 2 indexed citations
5.
6.
Robb, Calum T., et al.. (2020). Non‐steroidal anti‐inflammatory drugs, prostaglandins, and COVID‐19. British Journal of Pharmacology. 177(21). 4899–4920. 75 indexed citations
7.
Breyer, Richard, Lucie H. Clapp, Robert A. Coleman, et al.. (2020). Prostanoid receptors (version 2020.4) in the IUPHAR/BPS Guide to Pharmacology Database. IUPHAR/BPS Guide to Pharmacology CITE. 2020(4). 3 indexed citations
8.
Breyer, Richard, Lucie H. Clapp, Robert A. Coleman, et al.. (2019). Prostanoid receptors (version 2019.5) in the IUPHAR/BPS Guide to Pharmacology Database. IUPHAR/BPS Guide to Pharmacology CITE. 2019(5). 3 indexed citations
9.
Aoki, Tomohiro, et al.. (2018). T cell–intrinsic prostaglandin E2-EP2/EP4 signaling is critical in pathogenic TH17 cell–driven inflammation. Journal of Allergy and Clinical Immunology. 143(2). 631–643. 83 indexed citations
10.
Felton, Jennifer M., Rodger Duffin, Calum T. Robb, et al.. (2018). Facilitation of IL-22 production from innate lymphoid cells by prostaglandin E2 prevents experimental lung neutrophilic inflammation. Thorax. 73(11). 1081–1084. 13 indexed citations
11.
Crittenden, Siobhan, Alex Adams, Thorsten Forster, et al.. (2018). Purine metabolism controls innate lymphoid cell function and protects against intestinal injury. Immunology and Cell Biology. 96(10). 1049–1059. 39 indexed citations
12.
Robb, Calum T., Henry J. McSorley, Tomohiro Aoki, et al.. (2017). Prostaglandin E2 stimulates adaptive IL-22 production and promotes allergic contact dermatitis. Journal of Allergy and Clinical Immunology. 141(1). 152–162. 51 indexed citations
13.
Yao, Chengcan, Takako Hirata, Kitipong Soontrapa, et al.. (2013). Prostaglandin E2 promotes Th1 differentiation via synergistic amplification of IL-12 signalling by cAMP and PI3-kinase. Nature Communications. 4(1). 1685–1685. 90 indexed citations
14.
Soontrapa, Kitipong, Tetsuya Honda, Daiji Sakata, et al.. (2011). Prostaglandin E2–prostoglandin E receptor subtype 4 (EP4) signaling mediates UV irradiation-induced systemic immunosuppression. Proceedings of the National Academy of Sciences. 108(16). 6668–6673. 96 indexed citations
15.
Sakata, Daiji, Chengcan Yao, & Shuh Narumiya. (2010). Prostaglandin E2, an Immunoactivator. Journal of Pharmacological Sciences. 112(1). 1–5. 104 indexed citations
16.
Sakata, Daiji, Chengcan Yao, & Shuh Narumiya. (2010). Emerging roles of prostanoids in T cell‐mediated immunity. IUBMB Life. 62(8). 591–596. 27 indexed citations
17.
Esaki, Yoshiyasu, Youxian Li, Daiji Sakata, et al.. (2010). Dual roles of PGE 2 -EP4 signaling in mouse experimental autoimmune encephalomyelitis. Proceedings of the National Academy of Sciences. 107(27). 12233–12238. 99 indexed citations
18.
Oga, Toru, Toshiyuki Matsuoka, Chengcan Yao, et al.. (2009). Prostaglandin F2α receptor signaling facilitates bleomycin-induced pulmonary fibrosis independently of transforming growth factor-β. Nature Medicine. 15(12). 1426–1430. 148 indexed citations
19.
Yao, Chengcan, Daiji Sakata, Yoshiyasu Esaki, et al.. (2009). Prostaglandin E2–EP4 signaling promotes immune inflammation through TH1 cell differentiation and TH17 cell expansion. Nature Medicine. 15(6). 633–640. 459 indexed citations
20.
Sakata, Daiji, Chengcan Yao, Yoshiyasu Esaki, et al.. (2009). Prostaglandin E Receptor Subtypes EP2 and EP4 Promote TH1 Cell Differentiation and TH17 Cell Expansion Through Different Signaling Modules. Inflammation Research. 58(S2). S244–S248. 3 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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