Hai‐Hui Xue

9.3k total citations · 2 hit papers
98 papers, 6.5k citations indexed

About

Hai‐Hui Xue is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Hai‐Hui Xue has authored 98 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Immunology, 32 papers in Molecular Biology and 26 papers in Oncology. Recurrent topics in Hai‐Hui Xue's work include Immune Cell Function and Interaction (66 papers), T-cell and B-cell Immunology (55 papers) and Immunotherapy and Immune Responses (18 papers). Hai‐Hui Xue is often cited by papers focused on Immune Cell Function and Interaction (66 papers), T-cell and B-cell Immunology (55 papers) and Immunotherapy and Immune Responses (18 papers). Hai‐Hui Xue collaborates with scholars based in United States, China and Japan. Hai‐Hui Xue's co-authors include Qiang Shan, John T. Harty, Vladimir P. Badovinac, Shuyang Yu, Xinyuan Zhou, Dong‐Mei Zhao, Fengyin Li, Shaojun Xing, Weiqun Peng and J. Scott Hale and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Hai‐Hui Xue

97 papers receiving 6.4k citations

Hit Papers

Defining CD8+ T cells that provide the proliferative b... 2010 2026 2015 2020 2016 2010 400 800 1.2k

Peers

Hai‐Hui Xue
Golnaz Vahedi United States
Stephan Gasser Singapore
Loise M. Francisco United States
Charles E. Egwuagu United States
Daniel L. Mueller United States
Amanda C. Poholek United States
Golnaz Vahedi United States
Hai‐Hui Xue
Citations per year, relative to Hai‐Hui Xue Hai‐Hui Xue (= 1×) peers Golnaz Vahedi

Countries citing papers authored by Hai‐Hui Xue

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐Hui Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai‐Hui Xue. 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 Hai‐Hui Xue. The network helps show where Hai‐Hui Xue may publish in the future.

Co-authorship network of co-authors of Hai‐Hui Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Hai‐Hui Xue. A scholar is included among the top collaborators of Hai‐Hui Xue 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 Hai‐Hui Xue. Hai‐Hui Xue 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.
Zhong, Xiancai, Hongmin Wu, Yunying Shi, et al.. (2024). Distinct RORγt-dependent Th17 immune responses are required for autoimmune pathogenesis and protection against bacterial infection. Cell Reports. 43(11). 114951–114951. 3 indexed citations
2.
He, Shan, Tien D. Bui, Yuanyuan Tian, et al.. (2023). Tissue-infiltrating alloreactive T cells require Id3 to deflect PD-1–mediated immune suppression during GVHD. Blood. 143(2). 166–177. 6 indexed citations
3.
Jensen, Isaac J., Lecia L. Pewe, Mariah Hassert, et al.. (2023). Sublethal whole-body irradiation induces permanent loss and dysfunction in pathogen-specific circulating memory CD8 T cell populations. Proceedings of the National Academy of Sciences. 120(27). e2302785120–e2302785120. 4 indexed citations
4.
Jensen, Isaac J., et al.. (2023). Sublethal whole-body irradiation induces permanent loss and dysfunction in pre-existing pathogen-specific memory CD8 T cell populations. The Journal of Immunology. 210(Supplement_1). 239.18–239.18. 1 indexed citations
5.
Zhang, Bin, et al.. (2023). TLE3 and TLE4-coordinated colonic macrophage-CD4+ T cell crosstalk maintains intestinal immune homeostasis. Mucosal Immunology. 16(1). 50–60. 8 indexed citations
6.
Jensen, Isaac J., Xiang Li, Patrick W. McGonagill, et al.. (2021). Sepsis leads to lasting changes in phenotype and function of memory CD8 T cells. eLife. 10. 26 indexed citations
7.
Le, Phuong, Ngoc T. Ha, Andrew G. Newman, et al.. (2021). Targeting Cbx3/HP1γ Induces LEF-1 and IL-21R to Promote Tumor-Infiltrating CD8 T-Cell Persistence. Frontiers in Immunology. 12. 738958–738958. 7 indexed citations
8.
Vijay, Rahul, Jenna J. Guthmiller, Alexandria J. Sturtz, et al.. (2020). Infection-induced plasmablasts are a nutrient sink that impairs humoral immunity to malaria. Nature Immunology. 21(7). 790–801. 68 indexed citations
9.
Harly, Christelle, Devin Kenney, Gang Ren, et al.. (2019). The transcription factor TCF-1 enforces commitment to the innate lymphoid cell lineage. Nature Immunology. 20(9). 1150–1160. 82 indexed citations
10.
Jensen, Isaac J., Christina S. Winborn, Peng Shao, et al.. (2018). Polymicrobial sepsis influences NK-cell-mediated immunity by diminishing NK-cell-intrinsic receptor-mediated effector responses to viral ligands or infections. PLoS Pathogens. 14(10). e1007405–e1007405. 48 indexed citations
11.
Issuree, Priya D., Kenneth Day, Christy Au, et al.. (2018). Stage-specific epigenetic regulation of CD4 expression by coordinated enhancer elements during T cell development. Nature Communications. 9(1). 3594–3594. 33 indexed citations
12.
Danahy, Derek B., Scott M. Anthony, Isaac J. Jensen, et al.. (2017). Polymicrobial sepsis impairs bystander recruitment of effector cells to infected skin despite optimal sensing and alarming function of skin resident memory CD8 T cells. PLoS Pathogens. 13(9). e1006569–e1006569. 46 indexed citations
13.
Nish, Simone A., Kyra D. Zens, Radomir Kratchmarov, et al.. (2016). CD4+ T cell effector commitment coupled to self-renewal by asymmetric cell divisions. The Journal of Experimental Medicine. 214(1). 39–47. 79 indexed citations
14.
Steinke, Farrah C., Shuyang Yu, Xinyuan Zhou, et al.. (2014). TCF-1 and LEF-1 act upstream of Th-POK to promote the CD4+ T cell fate and interact with Runx3 to silence Cd4 in CD8+ T cells. Nature Immunology. 15(7). 646–656. 121 indexed citations
15.
Das, Satyabrata, Shuyang Yu, Eun Mi Kim, et al.. (2014). Identification of hematopoietic-specific regulatory elements from the CD45 gene and use for lentiviral tracking of transplanted cells. Experimental Hematology. 42(9). 761–772.e10. 3 indexed citations
16.
Yu, Shuyang, Xinyuan Zhou, Farrah C. Steinke, et al.. (2012). The TCF-1 and LEF-1 Transcription Factors Have Cooperative and Opposing Roles in T Cell Development and Malignancy. Immunity. 37(5). 813–826. 140 indexed citations
17.
Yu, Shuyang, Xuefang Jing, John Colgan, Dongmei Zhao, & Hai‐Hui Xue. (2012). Targeting Tetramer-Forming GABPβ Isoforms Impairs Self-Renewal of Hematopoietic and Leukemic Stem Cells. Cell stem cell. 11(2). 207–219. 26 indexed citations
19.
Zhao, Dong‐Mei, Shuyang Yu, Xinyuan Zhou, et al.. (2009). Constitutive Activation of Wnt Signaling Favors Generation of Memory CD8 T Cells. The Journal of Immunology. 184(3). 1191–1199. 136 indexed citations
20.
Kim, Hyoung‐Pyo, et al.. (2005). Interleukin-21 Receptor Gene Induction in Human T Cells Is Mediated by T-Cell Receptor-Induced Sp1 Activity. Molecular and Cellular Biology. 25(22). 9741–9752. 45 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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