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Alzheimer’s Disease: The Challenge of the Second Century
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In the first of our State of the Art Review series, David M. Holtzman, John C. Morris, and Alison M. Goate explore the rapid pace of Alzheimer’s disease research and the challenges to translating research breakthroughs into clinical treatments.
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“Growing evidence suggests that AD pathology, such as cerebral Aβ accumulation, probably begins one to two decades before onset of clinical symptoms (Holtzman et al. 2011, Perrin et al. 2009).”
From miR‐186 is decreased in aged brain and suppresses BACE 1 expression (2016) · cites this paper as Holtzman et al. 2011
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2 retracted
RETRACTED ARTICLE: A specific amyloid-β protein assembly in the brain impairs memory
Lesné, S., Koh, M. T., Kotilinek, L., Kayed, R., Glabe, C. G., Yang, A., Gallagher, M., & Ashe, K. H. (2006) · Nature · doi:10.1038/nature04533 · Cited by 2,769
RetractedRETRACTED ARTICLE: APP binds DR6 to trigger axon pruning and neuron death via distinct caspases
Nikolaev, A., McLaughlin, T., O’Leary, D. D. M., & Tessier-Lavigne, M. (2009) · Nature · doi:10.1038/nature07767 · Cited by 992
RetractedThe Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Amyloid oligomers exacerbate tau pathology in a mouse model of tauopathy
Selenica, M.-L. B., Brownlow, M., Jimenez, J. P., Lee, D. C., Pena, G., Dickey, C. A., Gordon, M. N., & Morgan, D. (2013) · Neurodegenerative Diseases · doi:10.1159/000337230 · Cited by 10,359
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882
Self-citationCorder, E. H., Saunders, A. M., Strittmatter, W. J., Schmechel, D. E., Gaskell, P. C., Small, G. W., Roses, A. D., Haines, J. L., & Pericak-Vance, M. A. (1993) · Science · doi:10.1126/science.8346443 · Cited by 9,429
Finding the missing heritability of complex diseases
Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., Cardon, L. R., Chakravarti, A., et al. (2009) · Nature · doi:10.1038/nature08494 · Cited by 8,336
Glenner, G. G., & Wong, C. W. (1984) · Biochemical and Biophysical Research Communications · doi:10.1016/s0006-291x(84)80190-4 · Cited by 5,404
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806
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Li, M., Meng, Y., Chu, B., Shen, Y., Liu, X., Ding, M., Song, C., Cao, X., Wang, P., Xu, L., et al. (2020) · Annals of Translational Medicine · doi:10.21037/atm.2019.11.68 · Cited by 13
Maloney, B., & Lahiri, D. K. (2012) · Gene · doi:10.1016/j.gene.2012.01.049 · Cited by 13
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Salas, I. H., Callaerts-Vegh, Z., D’Hooge, R., Saido, T. C., Dotti, C. G., & De Strooper, B. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-180410 · Cited by 12
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Meshref, M. M., Ghaith, H. S., Hammad, M. A., Shalaby, M. M. M., Ayasra, F., Monib, F. A., Attia, M. S., Ebada, M. A., Elsayed, H., Shalash, A., et al. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03802-0 · Cited by 12
Rulmont, C., Stigliani, J., Hureau, C., & Esmieu, C. (2024) · Inorganic Chemistry · doi:10.1021/acs.inorgchem.3c02693 · Cited by 12
Zhang, H., Liu, J., Zhang, N., Jeromin, A., & Lin, Z. J. (2024) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2024.155 · Cited by 12
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Dubroff, J. G., & Nasrallah, I. M. (2015) · Academic Radiology · doi:10.1016/j.acra.2015.02.005 · Cited by 12
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Cao, Y., Liu, B., Xu, W., Wang, L., Shi, F.-X., Li, N., Lei, Y., Wang, J., Tian, Q., & Zhou, X. (2020) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2020.06.002 · Cited by 12
Wang, D., Dai, Y., Wang, X., Pan, Y., Qu, S., Liu, Z., Cao, Y., Zhang, L., Ying, P., Liu, W., et al. (2021) · Microchimica Acta · doi:10.1007/s00604-020-04650-8 · Cited by 12
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Harrington, K., Aschenbrenner, A. J., Maruff, P. T., Masters, C. L., Fagan, A. M., Benzinger, T. L. S., Gordon, B. A., Cruchaga, C., Morris, J. C., & Hassenstab, J. J. (2021) · Psychological Science · doi:10.1177/0956797620985518 · Cited by 12
Self-citationRotaru-Zăvăleanu, A. D., Neacșu, A. I., Neacsu, A., Pirici, D. N., Osiac, E., Cătălin, B., & Gheonea, D. I. (2022) · Current Issues in Molecular Biology · doi:10.3390/cimb44090262 · Cited by 12
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Li, S., Lu, C., Zhao, Z., Lu, D., & Zheng, G. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1161405 · Cited by 12
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Zhang, J., Li, Y., Xu, J., & Zhou, Y. (2014) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2014.01.041 · Cited by 12
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Self-citationPeck, K. L., Clewett, H. S., Schmitt, J. C., & Shearer, J. (2013) · Chemical Communications · doi:10.1039/c3cc40326b · Cited by 12
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Silva, G. M., Barcelos, M. P., Poiani, J. G. C., Hage-Melim, L. I. D. S., & da Silva, C. H. T. D. P. (2019) · ChemMedChem · doi:10.1002/cmdc.201900299 · Cited by 12
Li, Y., Cai, J., Yan, L., Zhang, W., Li, L., Du, Z., Fang, Y., Dong, C., Meunier, B., & Chen, H. (2019) · Dyes and Pigments · doi:10.1016/j.dyepig.2019.107744 · Cited by 12
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dos Santos, L. R., Almeida, J. F. F., Pimassoni, L. H. S., Morelato, R. L., & Paula, F. (2019) · Genetics and Molecular Biology · doi:10.1590/1678-4685-gmb-2018-0320 · Cited by 12
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Hernández‐Vásquez, A., Barrenechea-Pulache, A., Aguirre-Ipenza, R., Comandé, D., & Azañedo, D. (2022) · Dentistry Journal · doi:10.3390/dj10050092 · Cited by 12
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Figueira, A. J., Saavedra, J., Cardoso, I., & Gomes, C. M. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1162741 · Cited by 12
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Parekh, M. B., Gurjarpadhye, A. A., Manoukian, M. A. C., Dubņika, A., Rajadas, J., & Inayathullah, M. (2016) · Radiology - Open Journal · doi:10.17140/roj-1-101 · Cited by 12
Elkamhawy, A., Park, J.-E., Hassan, A. H. E., Pae, A. N., Lee, J., Paik, S., Park, B.-G., & Roh, E. J. (2018) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2018.07.068 · Cited by 12
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BANDEA, C. I. (2013) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/000604 · Cited by 12
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Mukherjee, A. G., Mishra, S., Gopalakrishnan, A. V., Kannampuzha, S., Murali, R., Wanjari, U. R., Stany, B. K., Vellingiri, B., Madhyastha, H., Deepankumar, K., et al. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102726 · Cited by 11
Park, J. S., Choe, K., Ahmad, R., Park, H. Y., Kang, M. H., Park, T. J., & Kim, M. O. (2025) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2025.06.001 · Cited by 11
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Self-citationAldosterone exerts anti-inflammatory effects on LPS stimulated microglia
Bast, B.-O., Rickert, U., Schneppenheim, J., Cossais, F., Wilms, H., Arnold, P., & Lucius, R. (2018) · Heliyon · doi:10.1016/j.heliyon.2018.e00826 · Cited by 11
Cash, M. K., Rockwood, K. J., Fisk, J. D., & Darvesh, S. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.02.025 · Cited by 11
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Chen, Y., Zhan, C., Li, X., Pan, T., Yao, Y., Tan, Y., & Wei, G. (2023) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2023.128467 · Cited by 11
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Han, F., Wang, W., & Chen, C. (2014) · Journal of Neurorestoratology · doi:10.2147/jn.s74160 · Cited by 11
Luciano, M., Fernandez-Pujals, A. M., Marioni, R. E., Campbell, A., Hayward, C., MacIntyre, D. J., Porteous, D. J., McIntosh, A. M., & Deary, I. J. (2015) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000190 · Cited by 11
Amylin and pramlintide modulate γ-secretase level and APP processing in lipid rafts
Mousa, Y. M., Abdallah, I. M., Hwang, M., Martin, D. R., & Kaddoumi, A. (2020) · Scientific Reports · doi:10.1038/s41598-020-60664-5 · Cited by 11
Carlos, D.-H., Roselly, C.-R. B., Angel, U. L., Laura, M. A., Karina, S. R. K., Manuel, C.-B. J., Alejandra, C. S., Gabriela, C. C. E., Ochoa-Ruiz, E., & Serrano‐Medina, A. (2020) · Nutritional Neuroscience · doi:10.1080/1028415x.2020.1809878 · Cited by 11
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Mehra, R., & Kepp, K. P. (2020) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2020.105626 · Cited by 11
Naj, A. C., Carney, R. M., Hahn, S. E., Slifer, M. A., Haines, J. L., & Pericak‐Vance, M. A. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-383834-6.00116-6 · Cited by 11
Sexton, C. E., Anstey, K. J., Baldacci, F., Barnum, C. J., Barron, A. M., Blennow, K., Brodaty, H., Burnham, S. C., Elahi, F. M., Götz, J., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12380 · Cited by 11
Li, S., Luo, Z., Zhang, R., Xu, H., Zhou, T., Liu, L., & Qu, J. (2021) · Biosensors · doi:10.3390/bios11100365 · Cited by 11
Study of altered functional connectivity in individuals at risk for Alzheimer’s Disease
Zhang, Y., Liu, X., Zhao, K., Li, L., & Ding, Y. (2018) · Technology and Health Care · doi:10.3233/thc-174235 · Cited by 11
Thientunyakit, T., Thongpraparn, T., Sethanandha, C., Yamada, T., Kimura, Y., Muangpaisan, W., & Ishii, K. (2021) · Japanese Journal of Radiology · doi:10.1007/s11604-021-01132-6 · Cited by 11
Watanabe, H., Tatsumi, H., Kaide, S., Shimizu, Y., Iikuni, S., & Ono, M. (2020) · ACS Medicinal Chemistry Letters · doi:10.1021/acsmedchemlett.9b00456 · Cited by 11
Dalvi, A. (2012) · Disease-a-Month · doi:10.1016/j.disamonth.2012.08.008 · Cited by 11
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Satone, V. K., Kaur, R., Dadu, A., Leonard, H. L., Iwaki, H., Makarious, M. B., Sargent, L. J., Initiative, A. D. N., Daneshmand, A., Scholz, S. W., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/792432 · Cited by 11
Yoon, L., Botham, R. C., Verhelle, A., Wu, Y., Cole, C. M., Tan, E. P., Massey, L. A., Sanz-Martinez, P., Chou, C., Xu, J., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.29.509997 · Cited by 11
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Xia, L., Chen, J., Huang, J., Lin, X., Jiang, J., Liu, T., Huang, N., & Luo, Y. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e34254 · Cited by 10
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Kuznetsov, A. V. (2025) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.2024.0652 · Cited by 10
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Ma, L., Wang, R., Dong, W., Li, Y., Xu, B., Zhang, J., & Zhao, Z. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.07.036 · Cited by 10
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Zhang, T., Shang, R., & Miao, J. (2022) · Neurological Sciences · doi:10.1007/s10072-022-06301-7 · Cited by 10
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Liu, S., Li, S., Xia, Y., Zhang, H., Tian, J., Shan, C., Pang, F., Wang, Y., Shang, Y., & Chen, N. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e12366 · Cited by 10
Glykofridi, P., Tziouri, V.-E., Xanthopoulos, K., Vlachou, M.-E., Correia, S., Fischer, A.-L., Thüne, K., Hatzidimitriou, A. G., Zerr, I., Schmitz, M., et al. (2023) · JBIC Journal of Biological Inorganic Chemistry · doi:10.1007/s00775-022-01986-9 · Cited by 10
Wang, J., Cheng, Q., Zhang, Y., Hong, C., Liu, J., Liu, X., & Chang, J. (2023) · Aging and Disease · doi:10.14336/ad.2023.0119 · Cited by 10
Ghalayini, J., & Boulianne, G. L. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1166973 · Cited by 10
Feng, J., Goedegebuure, S. P., Zeng, A., Bi, Y., Wang, T., Payne, P., Ding, L., DeNardo, D. G., Hawkins, W. G., Fields, R. C., et al. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011785 · Cited by 10
Tao, R. N., Yue, C., Guo, Z., Guo, W., Yao, Y., Yang, X., Shao, Z., Gao, C., Ding, J., Shen, L. H., et al. (2024) · Cell Regeneration · doi:10.1186/s13619-024-00204-y · Cited by 10
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Paul, J. K., Malik, A., Azmal, M., Gulzar, T., Afghan, M. T. R., Talukder, O. F., Shahzadi, S., & Ghosh, A. (2025) · IBRO Neuroscience Reports · doi:10.1016/j.ibneur.2025.02.002 · Cited by 10
Stepping back to move forward: a current review of iPSCs in the fight against Alzheimer's disease.
Devineni, A., Tohme, S., Mt, K., Cowley, R. A., & Harris, B. T. (2016) · Europe PMC (PubMed Central) · Cited by 10
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Hiramoto, K., Yamate, Y., Matsuda, K., Sugiyama, D., & Iizuka, Y. (2020) · Journal of Experimental Pharmacology · doi:10.2147/jep.s284532 · Cited by 10
Cerebral Aβ deposition in an Aβ-precursor protein-transgenic rhesus monkey
Chan, A. W. S., Cho, I. K., Li, C., Zhang, X., Patel, S., Rusnak, R., Raper, J., Bachevalier, J., Moran, S. P., Chi, T., et al. (2022) · Aging Brain · doi:10.1016/j.nbas.2022.100044 · Cited by 10
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Kumar, P., Mishra, J., & Kumar, N. (2022) · Nutrients · doi:10.3390/nu14183715 · Cited by 10
Pathology steered stratification network for subtype identification in Alzheimer's disease
Xu, E., Zhang, J., Li, J., Song, Q., Yang, D., Guorong Wu, A., & Chen, M. (2023) · Medical Physics · doi:10.1002/mp.16655 · Cited by 10
Lin, L.-F., Liao, M., Xue, X., Zhang, W., Yan, L., Cai, L., Zhou, X., Zhou, X., & Luo, H. (2012) · Neuroscience Bulletin · doi:10.1007/s12264-012-1287-6 · Cited by 10
Recent Advances from the Bench Toward the Bedside in Alzheimer's Disease
Macauley, S. L., & Holtzman, D. M. (2015) · EBioMedicine · doi:10.1016/j.ebiom.2015.01.002 · Cited by 10
Self-citationGelfo, F., Cutuli, D., Nobili, A., Bartolo, P. D., D’Amelio, M., Petrosini, L., & Caltagirone, C. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-160892 · Cited by 10
Transcriptome Profile of Nicotinic Receptor-Linked Sensitization of Beta Amyloid Neurotoxicity
Arora, K., Belcaid, M., Lantz, M. J., Taketa, R., & Nichols, R. A. (2020) · Scientific Reports · doi:10.1038/s41598-020-62726-0 · Cited by 10
Development of AD-Like Pathology in Skeletal Muscle
Chen, X., Miller, N. M., Afghah, Z., & Geiger, J. D. (2019) · Journal of Parkinson’s Disease and Alzheimer’s Disease · doi:10.13188/2376-922x.1000028 · Cited by 10
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Hazzard, I., Batiste, M., Luo, T., Cheung, C., & Lui, F. (2024) · Exploration of Neuroprotective Therapy · doi:10.37349/ent.2024.00091 · Cited by 9
Cardinali, C. A. E. F., Martins, Y. A., de Moraes, R. C. M., Costa, A. P., & Torrão, A. D. S. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-04811-x · Cited by 9
Azmal, M., Paul, J. K., Shohan, M. N. H., Haque, A. N. M. S. N. B., Mrinmoy, M., Talukder, O. F., & Ghosh, A. (2025) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-025-00610-7 · Cited by 9
Beydoun, M. A., Hu, Y., Li, Z., Georgescu, M. F., Beydoun, H. A., Hooten, N. N., Walker, K. A., Bouhrara, M., Launer, L. J., Evans, M. K., et al. (2025) · GeroScience · doi:10.1007/s11357-025-01724-4 · Cited by 9
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Shi, Z., Das, S., Morabito, S., Stocksdale, J. T., Miyoshi, E., Srinivasan, S. S., Emerson, N., Shahin, A., Rahimzadeh, N., Cao, Z., et al. (2025) · Science Advances · doi:10.1126/sciadv.ads7973 · Cited by 9
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Rocha, K. M. A., Goulart, A. D. S., Costa, M. T., Salgueiro, A. C. F., & Folmer, V. (2021) · Research Society and Development · doi:10.33448/rsd-v10i1.11673 · Cited by 9
Chen, M., Liang, J., Liu, Y., Liu, Y., Zhou, C., Hong, P., Zhang, Y., & Qian, Z. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24020905 · Cited by 9
The role of microglia in neurological diseases with involvement of extracellular vesicles
Xie, H., Wu, F., Mao, J., Wang, Y., Zhu, J., Zhou, X., Hong, K., Li, B., Qiu, X., & Wen, C. (2024) · Neurobiology of Disease · doi:10.1016/j.nbd.2024.106700 · Cited by 9
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Ovsepian, S. V., & Herms, J. W. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00252 · Cited by 9
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Díaz, M. L., & Marín, R. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.94608 · Cited by 9
Wu, H., Lei, Z., Ou, Y., Shi, X., Xu, Q. Y., Shi, K., Ding, J., Zhao, Q., Wang, X., Cai, X., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.836568 · Cited by 9
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Ni, W., Jagust, W. J., & Wang, D. (2021) · Journal of Proteome Research · doi:10.1021/acs.jproteome.1c00424 · Cited by 9
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Farooqui, A. A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809937-7.00007-0 · Cited by 9
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Morris, J. C. (2019) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2019.15 · Cited by 9
Self-citationChen, T., Zhu, J., Tsai, S., & Yang, A. C. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01448-1 · Cited by 8
Zhang, X., Ma, W., Liu, H., Liu, Y., Zhang, Y., He, S., Ding, X., Li, B., & Yan, Y. (2024) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlae043 · Cited by 8
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Metadata
- Authors
- Holtzman, D. M., Morris, J. C., & Goate, A. M.
- Affiliations
- Washington University in St. Louis (US)
- Venue
- Science Translational Medicine
- Published
- 2011-04-06
- Volume
- 3
- Issue
- 77
- Pages
- 77sr1-77sr1
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- PMC
- PMC3130546
- OpenAlex
- W2005483591
- Cited by
- 1,424
- References
- 225
- Citations by year
- 2026: 53 · 2025: 81 · 2024: 99 · 2023: 102 · 2022: 93 · 2021: 93 · 2020: 100 · 2019: 124 · 2018: 116 · 2017: 101 · 2016: 92 · 2015: 95 · 2014: 95 · 2013: 86 · 2012: 69
- FWCI
- 9.56
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science Translational Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (R01AG035083, RC1AG035654, P50AG005681, P01AG003991, R37AG013956, U19AG032438, U01AG032438, R01AG016208, P01AG026276)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, dementia, disease prevalence, pathogenesis, translational research, early detection
- MeSH terms
- Alzheimer Disease, Humans, Amyloid beta-Peptides, tau Proteins, Disease Progression, Presenilins
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