Cliff Y. Yang

3.6k total citations · 3 hit papers
11 papers, 2.8k citations indexed

About

Cliff Y. Yang is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Cliff Y. Yang has authored 11 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Cliff Y. Yang's work include Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers) and T-cell and B-cell Immunology (4 papers). Cliff Y. Yang is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers) and T-cell and B-cell Immunology (4 papers). Cliff Y. Yang collaborates with scholars based in United States, China and Netherlands. Cliff Y. Yang's co-authors include Ananda W. Goldrath, Travis A. Doering, Taheri Sathaliyawala, Laurel A. Monticelli, Joshua M. Diamond, Ronald G. Collman, Carly G.K. Ziegler, Donna L. Färber, Jill Angelosanto and Michael C. Abt and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Blood.

In The Last Decade

Cliff Y. Yang

11 papers receiving 2.8k citations

Hit Papers

Innate lymphoid cells promote lung-tissue homeostasis aft... 2011 2026 2016 2021 2011 2011 2024 250 500 750 1000

Peers

Cliff Y. Yang
Clare S. Hardman United Kingdom
Christine M. Bucks United Kingdom
Szun S. Tay Australia
J. Knop Germany
Orr-El Weizman United States
Siu‐Hong Ho United States
David Kugler United States
Stephanie M. Coomes United Kingdom
Clare S. Hardman United Kingdom
Cliff Y. Yang
Citations per year, relative to Cliff Y. Yang Cliff Y. Yang (= 1×) peers Clare S. Hardman

Countries citing papers authored by Cliff Y. Yang

Since Specialization
Citations

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

Fields of papers citing papers by Cliff Y. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cliff Y. Yang. 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 Cliff Y. Yang. The network helps show where Cliff Y. Yang may publish in the future.

Co-authorship network of co-authors of Cliff Y. Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Cliff Y. Yang. A scholar is included among the top collaborators of Cliff Y. Yang 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 Cliff Y. Yang. Cliff Y. Yang 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.
Yao, Kai, Ling Wang, Jiancheng Huang, et al.. (2024). Cyclical palmitoylation regulates TLR9 signalling and systemic autoimmunity in mice. Nature Communications. 15(1). 1–1. 83 indexed citations breakdown →
2.
Yang, Cliff Y., et al.. (2023). In Vivo and In Vitro Assay to Address Dendritic Cell Antigen Cross-Presenting Capacity. Methods in molecular biology. 2618. 239–249. 1 indexed citations
3.
Huang, Jiancheng, Oindrila Rahaman, Jing Lou, et al.. (2021). The RNase MCPIP3 promotes skin inflammation by orchestrating myeloid cytokine response. Nature Communications. 12(1). 4105–4105. 25 indexed citations
4.
Liu, Xiaoli, Jiancheng Huang, Xiaoling Huang, et al.. (2019). Thioesterase PPT1 balances viral resistance and efficient T cell crosspriming in dendritic cells. The Journal of Experimental Medicine. 216(9). 2091–2112. 31 indexed citations
5.
Bunin, Anna, Vanja Sisirak, Hiyaa S. Ghosh, et al.. (2015). Protein Tyrosine Phosphatase PTPRS Is an Inhibitory Receptor on Human and Murine Plasmacytoid Dendritic Cells. Immunity. 43(2). 277–288. 43 indexed citations
6.
D’Cruz, Louise M., Martin Stradner, Cliff Y. Yang, & Ananda W. Goldrath. (2014). E and Id Proteins Influence Invariant NKT Cell Sublineage Differentiation and Proliferation. The Journal of Immunology. 192(5). 2227–2236. 37 indexed citations
7.
Li, Haiyan S., Cliff Y. Yang, Kalyan C. Nallaparaju, et al.. (2012). The signal transducers STAT5 and STAT3 control expression of Id2 and E2-2 during dendritic cell development. Blood. 120(22). 4363–4373. 75 indexed citations
8.
Monticelli, Laurel A., Gregory F. Sonnenberg, Michael C. Abt, et al.. (2011). Innate lymphoid cells promote lung-tissue homeostasis after infection with influenza virus. Nature Immunology. 12(11). 1045–1054. 1066 indexed citations breakdown →
9.
Yang, Cliff Y., J. Adam Best, Jamie Knell, et al.. (2011). The transcriptional regulators Id2 and Id3 control the formation of distinct memory CD8+ T cell subsets. Nature Immunology. 12(12). 1221–1229. 303 indexed citations
10.
Monticelli, Laurel A., Gregory F. Sonnenberg, Michael C. Abt, et al.. (2011). Innate lymphoid cells promote lung-tissue homeostasis after infection with influenza virus.. Nature Immunology. 12(11). 1045–54. 1125 indexed citations breakdown →
11.
D’Cruz, Louise M., Cliff Y. Yang, & Ananda W. Goldrath. (2010). Transcriptional regulation of NKT cell development and homeostasis. Current Opinion in Immunology. 22(2). 199–205. 24 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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