The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
Rates of speciation and morphological evolution are correlated across the largest vertebrate radiation
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Cites
RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
Stamatakis, A. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl446 · Cited by 15,582
MUSCLE: a multiple sequence alignment method with reduced time and space complexity
Edgar, R. C. (2004) · BMC Bioinformatics · doi:10.1186/1471-2105-5-113 · Cited by 8,970
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
GREEN, P. J. (1995) · Biometrika · doi:10.1093/biomet/82.4.711 · Cited by 5,930
Darwin, C., Murray, J., Sons, W. C. A., & Evans., B. &. (1859) · doi:10.5962/bhl.title.82303 · Cited by 5,608
Recent developments in the MAFFT multiple sequence alignment program
Katoh, K., & Toh, H. (2008) · Briefings in Bioinformatics · doi:10.1093/bib/bbn013 · Cited by 3,586
THE MAJOR FEATURES OF EVOLUTION
Olson, E. C. (1954) · Evolution · doi:10.1111/j.1558-5646.1954.tb00114.x · Cited by 2,026
Darwin, C. (1860) · J. Murray eBooks · doi:10.1037/14088-000 · Cited by 2,021
The Major Features of Evolution
Simpson, G. G. (1953) · Columbia University Press eBooks · doi:10.7312/simp93764 · Cited by 2,008
Sanderson, M. J. (2002) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a003974 · Cited by 1,977
Bayesian phylogenetic inference using DNA sequences: a Markov Chain Monte Carlo Method
Yang, Z., & Rannala, B. (1997) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a025811 · Cited by 1,274
Cited by
Phylogenetic classification of bony fishes
Betancur-R, R., Wiley, E. O., Arratia, G., Acero, A., Bailly, N., Miya, M., Lecointre, G., & Ortí, G. (2017) · BMC Evolutionary Biology · doi:10.1186/s12862-017-0958-3 · Cited by 857
Estimating the normal background rate of species extinction
De Vos, J. M., Joppa, L. N., Gittleman, J. L., Stephens, P. R., & Pimm, S. L. (2015) · Conservation Biology · doi:10.1111/cobi.12380 · Cited by 675
Functional ecology of fish: current approaches and future challenges
Villéger, S., Brosse, S., Mouchet, M., Mouillot, D., & Vanni, M. J. (2017) · Aquatic Sciences · doi:10.1007/s00027-017-0546-z · Cited by 538
Benson, R. B. J., Campione, N. E., Carrano, M. T., Mannion, P. D., Sullivan, C., Upchurch, P., & Evans, D. C. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001853 · Cited by 457
Climatic vulnerability of the world’s freshwater and marine fishes
Comte, L., & Olden, J. D. (2017) · Nature Climate Change · doi:10.1038/nclimate3382 · Cited by 369
Metadata
- Authors
- Rabosky, D. L., Santini, F., Eastman, J., Smith, S. A., Sidlauskas, B., Chang, J., & Alfaro, M. E.
- Venue
- Nature Communications
- Published
- 2013-06-06
- Volume
- 4
- Issue
- 1
- Pages
- 1958-1958
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2054715003
- Cited by
- 685
- References
- 99
- FWCI
- 37.61
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Rates of speciation and morphological evolution are correlated across the largest vertebrate radiation. https://app.cochat.ai/papers/10.1038/ncomms2958
- The paper
- Rabosky, D. L., Santini, F., Eastman, J., Smith, S. A., Sidlauskas, B., Chang, J., & Alfaro, M. E. (2013). Rates of speciation and morphological evolution are correlated across the largest vertebrate radiation. Nature Communications. https://doi.org/10.1038/ncomms2958
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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.
