Dan Liang

533 total citations
14 papers, 393 citations indexed

About

Dan Liang is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Dan Liang has authored 14 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 5 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Dan Liang's work include Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (6 papers) and T-cell and B-cell Immunology (5 papers). Dan Liang is often cited by papers focused on Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (6 papers) and T-cell and B-cell Immunology (5 papers). Dan Liang collaborates with scholars based in United States, China and Sweden. Dan Liang's co-authors include Arlene H. Sharpe, Matthew M. Halpert, William K. Decker, Vanaja Konduri, Dillon G. Patterson, Kelly P. Burke, Qianxia Zhang, Jessica N. Buck, Christine G. Lian and Gordon J. Freeman and has published in prestigious journals such as The Journal of Experimental Medicine, The FASEB Journal and Frontiers in Immunology.

In The Last Decade

Dan Liang

14 papers receiving 389 citations

Peers

Dan Liang
Xinyue Qi China
Henner Stege Germany
Amanda Holstein United States
Guy S. Missotten Netherlands
Xinyue Qi China
Dan Liang
Citations per year, relative to Dan Liang Dan Liang (= 1×) peers Xinyue Qi

Countries citing papers authored by Dan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Dan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Liang

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

All Works

14 of 14 papers shown
1.
Georgiev, Peter, SeongJun Han, Thao H. Nguyen, et al.. (2024). Age-Associated Contraction of Tumor-Specific T Cells Impairs Antitumor Immunity. Cancer Immunology Research. 12(11). 1525–1541. 5 indexed citations
2.
Liang, Dan, et al.. (2024). Dynamic Changes and Clinical Significance of Plasma Galectin-3 in Patients with Acute Ischemic Stroke Undergoing Endovascular Therapy. Journal of Inflammation Research. Volume 17. 1377–1387. 1 indexed citations
3.
Ding, Kai, Xiaowen He, Dan Liang, et al.. (2024). Alanyl-Glutamine Inhibits the Epithelial-Mesenchymal Transition of Airway Epithelial Cells in Asthmatic Mice via DPP4-SIRT1 Pathway. International Archives of Allergy and Immunology. 186(4). 1–18. 1 indexed citations
4.
Burke, Kelly P., Dillon G. Patterson, Dan Liang, & Arlene H. Sharpe. (2023). Immune checkpoint receptors in autoimmunity. Current Opinion in Immunology. 80. 102283–102283. 43 indexed citations
5.
Kurmi, Kiran, Dan Liang, Peter Georgiev, et al.. (2023). Metabolic modulation of mitochondrial mass during CD4+ T cell activation. Cell chemical biology. 30(9). 1064–1075.e8. 8 indexed citations
6.
Liang, Dan, et al.. (2021). Overview of Base Station Requirements for RF and Microwave Filters. 46–49. 8 indexed citations
7.
Zeng, Yi, et al.. (2021). Exploiting Redundancy in Direct Synthesis for Inline Filters. IEEE Transactions on Microwave Theory and Techniques. 69(10). 4489–4498. 26 indexed citations
8.
Kuchroo, Juhi R., Peter T. Sage, Dan Liang, et al.. (2020). PD-1 restraint of regulatory T cell suppressive activity is critical for immune tolerance. The Journal of Experimental Medicine. 218(1). 181 indexed citations
9.
Halpert, Matthew M., Vanaja Konduri, Dan Liang, et al.. (2020). MHC class I and II peptide homology regulates the cellular immune response. The FASEB Journal. 34(6). 8082–8101. 10 indexed citations
10.
Liang, Dan, Lin Tian, Ran You, et al.. (2018). AIMp1 Potentiates TH1 Polarization and Is Critical for Effective Antitumor and Antiviral Immunity. Frontiers in Immunology. 8. 1801–1801. 25 indexed citations
11.
Halpert, Matthew M., Vanaja Konduri, Dan Liang, et al.. (2016). Dendritic Cell-Secreted Cytotoxic T-Lymphocyte-Associated Protein-4 Regulates the T-cell Response by Downmodulating Bystander Surface B7. Stem Cells and Development. 25(10). 774–787. 43 indexed citations
12.
Konduri, Vanaja, Dali Li, Matthew M. Halpert, et al.. (2016). Chemo-immunotherapy mediates durable cure of orthotopic KrasG12D/p53−/−pancreatic ductal adenocarcinoma. OncoImmunology. 5(9). e1213933–e1213933. 21 indexed citations
13.
Liang, Dan, Matthew M. Halpert, Vanaja Konduri, & William K. Decker. (2015). Stepping Out of the Cytosol: AIMp1/p43 Potentiates the Link Between Innate and Adaptive Immunity. International Reviews of Immunology. 34(5). 367–381. 16 indexed citations
14.
Xu, Xiaofeng, et al.. (2014). Induced immune tolerance of autoantigen loaded immature dendritic cells in homogenic lupus mice. Genetics and Molecular Research. 13(1). 1251–1262. 5 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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