Liang Liu

Molecular Biology · Systematic Biology · 2007–2014

A researcher in the Science corpus: 6 papers; trusts 17 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Liu trusts overall

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

  1. Wayne P. Maddison
  2. Andrea Knowles
  3. John P. Huelsenbeck
  4. S. Edwards
  5. Joseph Felsenstein
  6. Bruce Rannala
  7. James H. Degnan
  8. Fredrik Ronquist
  9. Miriam Barlow
  10. Dennis K. Pearl

Who trusts Liang Liu overall

  1. Siavash Mirarab
  2. Erfan Sayyari
  3. K. Angelis
  4. Huw A. Ogilvie
  5. Alan R. Lemmon
  6. M. Kitahara
  7. E. Lemmon
  8. Swati Patel
  9. L. Lacey Knowles
  10. S. Edwards

Papers from Liang Liu's perspective

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

  1. Evolutionary trees from DNA sequences: A maximum likelihood approach (Journal of Molecular Evolution)
  2. MRBAYES: Bayesian inference of phylogenetic trees (Bioinform.)
  3. Bayes estimation of species divergence times and ancestral population sizes using DNA sequences from multiple loci. (Genetics)
  4. High-resolution species trees without concatenation (Proceedings of the National Academy of Sciences of the United States of America)
  5. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. (Systematic Biology)
  6. Bayesian selection of continuous-time Markov chain evolutionary models. (Molecular biology and evolution)
  7. Dating of the human-ape splitting by a molecular clock of mitochondrial DNA (Journal of Molecular Evolution)
  8. Inference from Iterative Simulation Using Multiple Sequences
  9. Genomic divergences between humans and other hominoids and the effective population size of the common ancestor of humans and chimpanzees. (American Journal of Human Genetics)
  10. Bayesian phylogenetic model selection using reversible jump Markov chain Monte Carlo. (Molecular biology and evolution)

Their papers