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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1997 1
1998 1
2002 3
2003 7
2004 9
2005 11
2006 6
2007 8
2008 16
2009 9
2010 14
2011 17
2012 19
2013 33
2014 33
2015 44
2016 45
2017 56
2018 61
2019 71
2020 96
2021 108
2022 119
2023 122
2024 41

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848 results

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Page 1
PKM2, function and expression and regulation.
Zhang Z, Deng X, Liu Y, Liu Y, Sun L, Chen F. Zhang Z, et al. Cell Biosci. 2019 Jun 26;9:52. doi: 10.1186/s13578-019-0317-8. eCollection 2019. Cell Biosci. 2019. PMID: 31391918 Free PMC article. Review.
Targeting VPS72 inhibits ACTL6A/MYC axis activity in HCC progression.
Liu F, Liao Z, Qin L, Zhang Z, Zhang Q, Han S, Zeng W, Zhang H, Liu Y, Song J, Chen W, Zhu H, Liang H, Chen X, Zhang B, Zhang Z. Liu F, et al. Among authors: zhang z. Hepatology. 2023 Nov 1;78(5):1384-1401. doi: 10.1097/HEP.0000000000000268. Epub 2023 Jan 13. Hepatology. 2023. PMID: 36631007 Free PMC article.
Disruption of tumour-associated macrophage trafficking by the osteopontin-induced colony-stimulating factor-1 signalling sensitises hepatocellular carcinoma to anti-PD-L1 blockade.
Zhu Y, Yang J, Xu D, Gao XM, Zhang Z, Hsu JL, Li CW, Lim SO, Sheng YY, Zhang Y, Li JH, Luo Q, Zheng Y, Zhao Y, Lu L, Jia HL, Hung MC, Dong QZ, Qin LX. Zhu Y, et al. Among authors: zhang z. Gut. 2019 Sep;68(9):1653-1666. doi: 10.1136/gutjnl-2019-318419. Epub 2019 Mar 22. Gut. 2019. PMID: 30902885
ENIGMA CHEK2gether Project: A Comprehensive Study Identifies Functionally Impaired CHEK2 Germline Missense Variants Associated with Increased Breast Cancer Risk.
Stolarova L, Kleiblova P, Zemankova P, Stastna B, Janatova M, Soukupova J, Achatz MI, Ambrosone C, Apostolou P, Arun BK, Auer P, Barnard M, Bertelsen B; Biobank Japan; Blok MJ, Boddicker N, Brunet J, Burnside ES, Calvello M, Campbell I, Chan SH, Chen F, Chiang JB, Coppa A, Cortesi L, Crujeiras-González A; Consortium CZECANCA; De Leeneer K, De Putter R, DePersia A, Devereux L, Domchek S, Efremidis A, Engel C, Ernst C, Evans DGR, Feliubadaló L, Fostira F, Fuentes-Ríos O, Gómez-García EB, González S, Haiman C, Hansen TVO, Hauke J, Hodge J, Hu C, Huang H, Ishak NDB, Iwasaki Y, Konstantopoulou I, Kraft P, Lacey J, Lázaro C, Li N, Lim WK, Lindstrom S, Lori A, Martinez E, Martins A, Matsuda K, Matullo G, McInerny S, Michailidou K, Montagna M, Monteiro ANA, Mori L, Nathanson K, Neuhausen SL, Nevanlinna H, Olson JE, Palmer J, Pasini B, Patel A, Piane M, Poppe B, Radice P, Renieri A, Resta N, Richardson ME, Rosseel T, Ruddy KJ, Santamariña M, Dos Santos ES, Teras L, Toland AE, Trentham-Dietz A, Vachon CM, Volk AE, Weber-Lassalle N, Weitzel JN, Wiesmuller L, Winham S, Yadav S, Yannoukakos D, Yao S, Zampiga V, Zethoven M, Zhang ZW, Zima T, Spurdle AB, Vega A, Rossing M, Del Valle J, De Nicolo… See abstract for full author list ➔ Stolarova L, et al. Clin Cancer Res. 2023 Aug 15;29(16):3037-3050. doi: 10.1158/1078-0432.CCR-23-0212. Clin Cancer Res. 2023. PMID: 37449874 Free PMC article.
Deep learning-based prediction of the T cell receptor-antigen binding specificity.
Lu T, Zhang Z, Zhu J, Wang Y, Jiang P, Xiao X, Bernatchez C, Heymach JV, Gibbons DL, Wang J, Xu L, Reuben A, Wang T. Lu T, et al. Among authors: zhang z. Nat Mach Intell. 2021 Oct;3(10):864-875. doi: 10.1038/s42256-021-00383-2. Epub 2021 Sep 23. Nat Mach Intell. 2021. PMID: 36003885 Free PMC article.
848 results