Barber DL, Wherry EJ, Masopust D, et al. Restoring function in exhausted CD8 T cells during chronic viral infection. Nature. 2006;439(7077):682–7.

PubMed  Google Scholar 

Wherry EJ, Kurachi M. Molecular and cellular insights into T cell exhaustion. Nat Rev Immunol. 2015;15(8):486–99.

PubMed  PubMed Central  Google Scholar 

Pauken KE, Wherry EJ. Overcoming T cell exhaustion in infection and cancer. Trends Immunol. 2015;36(4):265–76.

PubMed  PubMed Central  Google Scholar 

Wherry EJ. T cell exhaustion. Nat Immunol. 2011;12(6):492–9.

PubMed  Google Scholar 

Wherry EJ, Ha SJ, Kaech SM, et al. Molecular signature of CD8+ T cell exhaustion during chronic viral infection. Immunity. 2007;27(4):670–84.

PubMed  Google Scholar 

Jiang Y, Li Y, Zhu B. T-cell exhaustion in the tumor microenvironment. Cell Death Dis. 2015;6(6):e1792.

PubMed  PubMed Central  Google Scholar 

Costa JP, de Carvalho A, Paiva A, et al. Insights into immune exhaustion in chronic hepatitis B: a review of checkpoint receptor expression. Pharmaceuticals (Basel). 2024;17(7):964.

PubMed  PubMed Central  Google Scholar 

Marotel M, Villard M, Drouillard A, et al. Peripheral natural killer cells in chronic hepatitis B patients display multiple molecular features of T cell exhaustion. Elife. 2021;10:e60095.

PubMed  PubMed Central  Google Scholar 

Barathan M, Gopal K, Mohamed R, et al. Chronic hepatitis C virus infection triggers spontaneous differential expression of biosignatures associated with T cell exhaustion and apoptosis signaling in peripheral blood mononucleocytes. Apoptosis. 2015;20(4):466–80.

PubMed  Google Scholar 

Baral S, Roy R, Dixit NM. Modeling how reversal of immune exhaustion elicits cure of chronic hepatitis C after the end of treatment with direct-acting antiviral agents. Immunol Cell Biol. 2018;96(9):969–80.

PubMed  PubMed Central  Google Scholar 

Mangana C, Maier BB. A progressive T cell exhaustion program mapped across tissues in patients with lung cancer on immune checkpoint blockade. Cancer Cell. 2023;41(4):653–5.

PubMed  Google Scholar 

Fan Q, Wang Y, Cheng J, et al. Single-cell RNA-seq reveals T cell exhaustion and immune response landscape in osteosarcoma. Front Immunol. 2024;15:1362970.

PubMed  PubMed Central  Google Scholar 

Cheng D, Zhang Z, Liu D, et al. Unraveling T cell exhaustion in the immune microenvironment of osteosarcoma via single-cell RNA transcriptome. Cancer Immunol Immunother. 2024;73(2):35.

PubMed  PubMed Central  Google Scholar 

Mueller SN, Ahmed R. High antigen levels are the cause of T cell exhaustion during chronic viral infection. Proc Natl Acad Sci USA. 2009;106(21):8623–8.

PubMed  PubMed Central  Google Scholar 

Sen DR, Kaminski J, Barnitz RA, et al. The epigenetic landscape of T cell exhaustion. Science. 2016;354(6316):1165–9.

PubMed  PubMed Central  Google Scholar 

Caldwell BA, Wu Y, Wang J, et al. Altered DNA methylation underlies monocyte dysregulation and immune exhaustion memory in sepsis. Cell Rep. 2024;43(3):113894.

PubMed  PubMed Central  Google Scholar 

Im SJ, Hashimoto M, Gerner MY, et al. Defining CD8+ T cells that provide the proliferative burst after PD-1 therapy. Nature. 2016;537(7620):417–21.

PubMed  PubMed Central  Google Scholar 

Sakuishi K, Apetoh L, Sullivan JM, et al. Targeting Tim-3 and PD-1 pathways to reverse T cell exhaustion and restore anti-tumor immunity. J Exp Med. 2010;207(10):2187–94.

PubMed  PubMed Central  Google Scholar 

Riley JL. PD-1 signaling in primary T cells. Immunol Rev. 2009;229(1):114–25.

PubMed  PubMed Central  Google Scholar 

Montazeri A, Mohammadi S, Hesari MP, et al. Preliminary guideline for reporting bibliometric reviews of the biomedical literature (BIBLIO): a minimum requirements. Syst Rev. 2023;12(1):239.

PubMed  PubMed Central  Google Scholar 

Cheng K, Li Z, Sun Z, et al. The rapid growth of bibliometric studies: a call for international guidelines. Int J Surg. 2024;110(4):2446–8.

PubMed  PubMed Central  Google Scholar 

Sun Z, Wang X, Xiao J, et al. Knowledge mapping and emerging trends in neural stem cell transplantation research for spinal cord injury: a bibliometric analysis (2004–2023). Int J Surg. 2024;110(12):8215–9.

PubMed  PubMed Central  Google Scholar 

Liu W, Zhang C, Jiang F, et al. From theory to therapy: a bibliometric and visual study of stem cell advancements in age-related macular degeneration. Cytotherapy. 2024;26(6):616–31.

PubMed  Google Scholar 

Li J, Li X, Fu Y, et al. Visualizing immunotherapy for multiple myeloma worldwide from 2013 to 2023: a bibliometric analysis. Hum Vaccin Immunother. 2024;20(1):2433304.

PubMed  PubMed Central  Google Scholar 

Wu X, Jin B, Liu X, et al. Research trends of cellular immunotherapy for primary liver cancer: a bibliometric analysis. Hum Vaccin Immunother. 2024;20(1):2426869.

PubMed  PubMed Central  Google Scholar 

Wu H, Cheng K, Sun Z, et al. Trends of mapping knowledge structure and themes of cancer sonodynamic therapy: a text-mining study. Quant Imaging Med Surg. 2024;14(12):8734–57.

PubMed  PubMed Central  Google Scholar 

Lyu Y, Zhao H, Zeng G, et al. Mapping the evolving trend of research on leukocyte telomere length: a text-mining study. Hum Genomics. 2024;18(1):117.

PubMed  PubMed Central  Google Scholar 

Synnestvedt MB, Chen C, Holmes JH. CiteSpace II: visualization and knowledge discovery in bibliographic databases. AMIA Annu Symp Proc 2005:724-8.

van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 2010;84(2):523–38.

PubMed  Google Scholar 

AlRyalat SAS, Malkawi LW, Momani SM. Comparing bibliometric analysis using PubMed, Scopus, and web of science databases. J Vis Exp. 2019. https://doi.org/10.3791/58494.

PubMed  Google Scholar 

Wu Z, Cheng K, Shen Z, et al. Mapping knowledge landscapes and emerging trends of sonodynamic therapy: a bibliometric and visualized study. Front Pharmacol. 2023;13:1048211.

PubMed  PubMed Central  Google Scholar 

Cheng K, Zhang H, Guo Q, et al. Emerging trends and research foci of oncolytic virotherapy for central nervous system tumors: a bibliometric study. Front Immunol. 2022;13:975695.

PubMed  PubMed Central  Google Scholar 

Gould KA. Journal citation reports 2023: understanding bibliometric data. Dimens Crit Care Nurs. 2023;42(5):245–7.

PubMed  Google Scholar 

Zimarino M, Benedetto U, Pelliccia F. The H-index in the road for academic progression. Int J Cardiol. 2024;408:132119.

PubMed  Google Scholar 

Yeung AW, Goto TK, Leung WK. The changing landscape of neuroscience research, 2006–2015: a bibliometric study. Front Neurosci. 2017;11:120.

PubMed  PubMed Central  Google Scholar 

Kleinberg J. Bursty and hierarchical structure in streams. Data Min Knowl Discov. 2003;7:373–97.

Google Scholar 

Sabe M, Pillinger T, Kaiser S, et al. Half a century of research on antipsychotics and schizophrenia: a scientometric study of hotspots, nodes, bursts, and trends. Neurosci Biobehav Rev. 2022;136:104608.

PubMed  Google Scholar 

Wu H, Sun Z, Tong L, et al. Bibliometric analysis of global research trends on male osteoporosis: a neglected field deserves more attention. Arch Osteoporos. 2021;16(1):154.

PubMed  Google Scholar 

Yi JS, Cox MA, Zajac AJ. T-cell exhaustion: characteristics, causes and conversion. Immunology. 2010;129(4):474–81.

PubMed  PubMed Central  Google Scholar 

Jin HT, Anderson AC, Tan WG, et al. Cooperation of Tim-3 and PD-1 in CD8 T-cell exhaustion during chronic viral infection. Proc Natl Acad Sci USA. 2010;107(33):14733–8.

PubMed  PubMed Central  Google Scholar 

Blackburn SD, Shin H, Haining WN, et al. Coregulation of CD8+ T cell exhaustion by multiple inhibitory receptors during chronic viral infection. Nat Immunol. 2009;10(1):29–37.

PubMed  Google Scholar 

Akbay EA, Koyama S, Carretero J, et al. Activation of the PD-1 pathway contributes to immune escape in EGFR-driven lung tumors. Cancer Discov. 2013;3(12):1355–63.

PubMed  Google Scholar 

Sade-Feldman M, Yizhak K, Bjorgaard SL, et al. Defining T cell states associated with response to checkpoint immunotherapy in melanoma. Cell. 2018;175(4):998-1013.e20.