Maria Anisimova

Molecular Biology · 2001–2019

A researcher in the Science corpus: 7 papers; trusts 23 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 106 citations into it; #611 of 17,773 by trust here, #2,983 by citations
• Genetics — 47 citations into it; #179 of 6,854 by trust here, #608 by citations
• Artificial Intelligence — 19 citations into it; #31,585 of 35,345 by trust here, #23,731 by citations
• Paleontology — 16 citations into it
• Plant Science — 11 citations into it
• Computational Biology & Bioinformatics — 7 citations into it
• Statistics and Probability — 6 citations into it

Whom Maria Anisimova trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alexandros Stamatakis
2. Ziheng Yang
3. Stéphane Guindon
4. John P. Huelsenbeck
5. Olivier Gascuel
6. Joseph Felsenstein
7. John D. Storey
8. Rasmus Nielsen
9. Michael E. Alfaro
10. Fredrik Ronquist

Who trusts Maria Anisimova overall

1. Marc W. Cadotte
2. Bui Quang Minh
3. Stéphane Guindon
4. Morgan N. Price
5. Ziheng Yang
6. R. Pyron
7. Rasmus Nielsen
8. Jean-François Dufayard
9. Olivier Gascuel
10. Alexis Criscuolo

Papers from Maria Anisimova's perspective

Ordered by how strongly the researchers Maria Anisimova trusts endorse each paper. Same corpus, a different order for every researcher.

1. MRBAYES: Bayesian inference of phylogenetic trees (Bioinform.)
2. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. (Systematic Biology)
3. Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion
4. Evolutionary trees from DNA sequences: A maximum likelihood approach (Journal of Molecular Evolution)
5. A new method for calculating evolutionary substitution rates (Journal of Molecular Evolution)
6. MrBayes 3: Bayesian phylogenetic inference under mixed models (Bioinform.)
7. Likelihood-based tests of topologies in phylogenetics. (Systematic Biology)
8. Bayesian Inference of Phylogeny and Its Impact on Evolutionary Biology (Science)
9. A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach.
10. Resolution of the Early Placental Mammal Radiation Using Bayesian Phylogenetics (Science)

Their papers

• New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. (2010) — 17,454 citations
• Approximate likelihood-ratio test for branches: A fast, accurate, and powerful alternative. (2006) — 2,645 citations
• Accuracy and power of the likelihood ratio test in detecting adaptive molecular evolution. (2001) — 705 citations
• Enabling semantic queries across federated bioinformatics databases (2019) — 40 citations
• The SIB Swiss Institute of Bioinformatics’ resources: focus on curated databases (2015) — 60 citations
• Survey of Branch Support Methods Demonstrates Accuracy, Power, and Robustness of Fast Likelihood-based Approximation Schemes (2011) — 1,123 citations
• Effect of recombination on the accuracy of the likelihood method for detecting positive selection at amino acid sites. (2003) — 562 citations