The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization
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Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
Cited by
RELION: Implementation of a Bayesian approach to cryo-EM structure determination
Scheres, S. H. W. (2012) · Journal of Structural Biology · doi:10.1016/j.jsb.2012.09.006 · Cited by 5,446
Self-citationPutnam, C. D., Hammel, M., Hura, G. L., & Tainer, J. A. (2007) · Quarterly Reviews of Biophysics · doi:10.1017/s0033583507004635 · Cited by 1,184
Cryo-electron microscopy--a primer for the non-microscopist
Milne, J. L. S., Borgnia, M. J., Bartesaghi, A., Tran, E. E. H., Earl, L. A., Schauder, D. M., Lengyel, J., Pierson, J., Patwardhan, A., & Subramaniam, S. (2013) · The FEBS Journal · doi:10.1111/febs.12078 · Cited by 277
Structures of the human CST-Polα–primase complex bound to telomere templates
He, Q., Lin, X., Chavez, B. L., Agrawal, S., Lusk, B. L., & Lim, C. J. (2022) · Nature · doi:10.1038/s41586-022-05040-1 · Cited by 68
Structural features of nucleosomes in interphase and metaphase chromosomes
Arimura, Y., Shih, R. M., Froom, R., & Funabiki, H. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.08.010 · Cited by 59
Filling Adeno-Associated Virus Capsids: Estimating Success by Cryo-Electron Microscopy
Subramanian, S., Maurer, A. C., Bator, C. M., Makhov, A. M., Conway, J. F., Turner, K. B., Marden, J. H., Vandenberghe, L. H., & Hafenstein, S. L. (2019) · Human Gene Therapy · doi:10.1089/hum.2019.041 · Cited by 40
CryoDRGN-AI: neural ab initio reconstruction of challenging cryo-EM and cryo-ET datasets
Levy, A., Raghu, R., Feathers, J. R., Grzadkowski, M., Poitevin, F., Johnston, J. D., Vallese, F., Clarke, O. B., Wetzstein, G., & Zhong, E. D. (2025) · Nature Methods · doi:10.1038/s41592-025-02720-4 · Cited by 25
CryoSTAR: leveraging structural priors and constraints for cryo-EM heterogeneous reconstruction
Li, Y., Zhou, Y., Yuan, J., Ye, F., & Gu, Q. (2024) · Nature Methods · doi:10.1038/s41592-024-02486-1 · Cited by 20
Metadata
- Authors
- Scheres, S. H. W., Gao, H., Valle, M., Herman, G. T., Eggermont, P. P. B., Frank, J., & Carazo, J.-M.
- Venue
- Nature Methods
- Published
- 2006-12-10
- Volume
- 4
- Issue
- 1
- Pages
- 27-29
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2068654340
- Cited by
- 407
- References
- 1
- FWCI
- 17.16
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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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.
