The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Chemical kinetics for drug discovery to combat protein aggregation diseases
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Citations
Cites
The 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
Shankar, G. M., Li, S., Mehta, T. H., Garcia-Munoz, A., Shepardson, N. E., Smith, I., Brett, F. M., Farrell, M. A., Rowan, M. J., Lemere, C. A., et al. (2008) · Nature Medicine · doi:10.1038/nm1782 · Cited by 3,685
SP600125, an anthrapyrazolone inhibitor of Jun N-terminal kinase
Bennett, B. L., Sasaki, D. T., Murray, B. W., O'Leary, E. C., Sakata, S. T., Xu, W., Leisten, J. C., Motiwala, A., Pierce, S., Satoh, Y., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.251194298 · Cited by 2,558
Aβ Oligomers – a decade of discovery
Walsh, D. M., & Selkoe, D. J. (2007) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2006.04426.x · Cited by 1,938
Rationalization of the effects of mutations on peptide andprotein aggregation rates
Chiti, F., Stefani, M., Taddei, N., Ramponi, G., & Dobson, C. M. (2003) · Nature · doi:10.1038/nature01891 · Cited by 1,072
Self-citationNecula, M., Kayed, R., Milton, S., & Glabe, C. G. (2007) · Journal of Biological Chemistry · doi:10.1074/jbc.m608207200 · Cited by 680
The chemistry of Alzheimer’s disease
Rauk, A. (2009) · Chemical Society Reviews · doi:10.1039/b807980n · Cited by 417
Bifunctional Compounds for Controlling Metal-Mediated Aggregation of the Aβ42Peptide
Sharma, A. K., Pavlova, S. T., Kim, J., Finkelstein, D., Hawco, N. J., Rath, N. P., Kim, J., & Mirica, L. M. (2012) · Journal of the American Chemical Society · doi:10.1021/ja210588m · Cited by 202
Cited by
The amyloid state and its association with protein misfolding diseases.
Knowles, T. P. J., Vendruscolo, M., & Dobson, C. M. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3810 · Cited by 2,382
Self-citationThe proteostasis network and its decline in ageing
Hipp, M. S., Kasturi, P., & Hartl, F. U. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0101-y · Cited by 1,642
Self-assembling peptide and protein amyloids: from structure to tailored function in nanotechnology
Wei, G., Su, Z., Reynolds, N. P., Arosio, P., Hamley, I. W., Gazit, E., & Mezzenga, R. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00542j · Cited by 904
Self-citationMolecular mechanisms of protein aggregation from global fitting of kinetic models
Meisl, G., Kirkegaard, J. B., Arosio, P., Michaels, T. C. T., Vendruscolo, M., Dobson, C. M., Linse, S., & Knowles, T. P. J. (2016) · Nature Protocols · doi:10.1038/nprot.2016.010 · Cited by 767
Self-citationArosio, P., Michaels, T. C. T., Linse, S., Månsson, C., Emanuelsson, C., Presto, J., Johansson, J., Vendruscolo, M., Dobson, C. M., & Knowles, T. P. J. (2016) · Nature Communications · doi:10.1038/ncomms10948 · Cited by 265
Self-citation
Metadata
- Authors
- Arosio, P., Vendruscolo, M., Dobson, C. M., & Knowles, T. P. J.
- Venue
- Trends in Pharmacological Sciences
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 35
- Issue
- 3
- Pages
- 127-135
- ISSN
- 0165-6147 (ISSN-L)
- OpenAlex
- W2122960770
- Cited by
- 219
- References
- 8
- FWCI
- 2.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Chemical kinetics for drug discovery to combat protein aggregation diseases. https://app.cochat.ai/papers/10.1016/j.tips.2013.12.005
- The paper
- Arosio, P., Vendruscolo, M., Dobson, C. M., & Knowles, T. P. J. (2014). Chemical kinetics for drug discovery to combat protein aggregation diseases. Trends in Pharmacological Sciences. https://doi.org/10.1016/j.tips.2013.12.005
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
