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

Year Number of Results
1950 1
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1958 1
1959 5
1960 2
1961 1
1962 2
1965 2
1966 3
1967 10
1968 7
1969 8
1970 6
1971 10
1972 6
1973 6
1974 6
1975 9
1976 14
1977 11
1978 9
1979 11
1980 11
1981 10
1982 10
1983 17
1984 18
1985 18
1986 22
1987 38
1988 43
1989 20
1990 27
1991 32
1992 25
1993 29
1994 32
1995 44
1996 52
1997 43
1998 56
1999 42
2000 66
2001 68
2002 86
2003 83
2004 72
2005 108
2006 93
2007 96
2008 107
2009 95
2010 87
2011 156
2012 143
2013 149
2014 116
2015 136
2016 158
2017 190
2018 160
2019 135
2020 152
2021 158
2022 173
2023 157
2024 144
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2026 34

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Page 1
Did you mean naito n[au] (179 results)?
Clinical and pathologic correlations of machine learning quantification of Aβ deposits across 3 brain regions of decedents with Alzheimer disease.
Garcia D, Rai Sharma SR, Saito N, Beckett L, Sevilla LNC, Vasquez R, DeCarli CS, Gutman D, Vizcarra J, Coughlin DG, Teich AF, Garcia L, Mungas DM, Chuah CN, Dugger BN. Garcia D, et al. Among authors: saito n. J Neuropathol Exp Neurol. 2026 Mar 10:nlaf152. doi: 10.1093/jnen/nlaf152. Online ahead of print. J Neuropathol Exp Neurol. 2026. PMID: 41806384
Integrative GWAS and snRNA-seq Reveal a Mesenchymal-Like Endothelial Signature in Moyamoya Disease.
Hirano Y, Miyawaki S, Sonehara K, Namba S, Inoue H, Shirai Y, Imai H, Hongo H, Shimizu M, Ono H, Mizoro Y, Matsuda K, Ogawa S, Torazawa S, Sakai Y, Sato D, Tsuchiya T, Hirata S, Koizumi S, Dofuku S, Shinya Y, Kiyofuji S, Komura D, Teraoka A, Nakatomi H, Ishikawa S, Okada Y, Saito N; BioBank Japan Project. Hirano Y, et al. Among authors: saito n. Stroke. 2026 Mar 2. doi: 10.1161/STROKEAHA.125.053747. Online ahead of print. Stroke. 2026. PMID: 41766532
Unique clinical and radiological features in patients with moyamoya disease under 4 years of age: a multicenter MACINTOSH Study in Japan.
Kuroda S, Hara S, Funaki T, Araki Y, Saito R, Hamano E, Kataoka H, Murai S, Hishikawa T, Ito M, Uchino H, Fujimura M, Tashiro R, Kanoke A, Endo H, Yamaguchi K, Nomura S, Kawashima A, Kawamata T, Yamamoto S, Kashiwazaki D, Hori E, Nishimura A, Yoshimoto K, Takagi Y, Miyawaki S, Saito N, Takahashi JC, Maehara T, Miyamoto S. Kuroda S, et al. Among authors: saito n. J Neurosurg Pediatr. 2026 Feb 20:1-11. doi: 10.3171/2025.10.PEDS25480. Online ahead of print. J Neurosurg Pediatr. 2026. PMID: 41719545
A machine learning approach to predicting severe diabetes distress in adults with type 1 diabetes mellitus.
Sakane N, Hirota Y, Yamamoto A, Miura J, Takaike H, Hoshina S, Toyoda M, Saito N, Hosoda K, Matsubara M, Tone A, Kawashima S, Sawaki H, Matsuda T, Domichi M, Suganuma A, Sakane S, Murata T. Sakane N, et al. Among authors: saito n. J Diabetes Investig. 2026 Feb 18. doi: 10.1111/jdi.70229. Online ahead of print. J Diabetes Investig. 2026. PMID: 41705740 Free article.
3,588 results