Sergei L. Kosakovsky Pond

Molecular Biology · 2005–2020

A researcher in the Science corpus: 15 papers; trusts 17 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Sergei L. Kosakovsky Pond trusts overall

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

  1. Ziheng Yang
  2. Joseph Felsenstein
  3. Simon D. W. Frost
  4. Rasmus Nielsen
  5. David Posada
  6. Wen-Hsiung Li
  7. John P. Huelsenbeck
  8. Masami Hasegawa
  9. N. Sugiura
  10. Spencer V. Muse

Who trusts Sergei L. Kosakovsky Pond overall

  1. Art F. Y. Poon
  2. Simon D. W. Frost
  3. Ben Murrell
  4. Fraser Iain Lewis
  5. Scott Weaver
  6. B. Thyagarajan
  7. Adi Stern
  8. Joel O. Wertheim
  9. Darren P. Martin
  10. Sudhir Kumar

Papers from Sergei L. Kosakovsky Pond's perspective

Ordered by how strongly the researchers Sergei L. Kosakovsky Pond 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. Dating of the human-ape splitting by a molecular clock of mitochondrial DNA (Journal of Molecular Evolution)
  3. Codon-substitution models for heterogeneous selection pressure at amino acid sites. (Genetics)
  4. A coalescent-based method for detecting and estimating recombination from gene sequences. (Genetics)
  5. Consequences of recombination on traditional phylogenetic analysis. (Genetics)
  6. Bayes empirical bayes inference of amino acid sites under positive selection. (Molecular biology and evolution)
  7. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  8. Evaluation of an improved branch-site likelihood method for detecting positive selection at the molecular level. (Molecular biology and evolution)
  9. Codon-substitution models for detecting molecular adaptation at individual sites along specific lineages. (Molecular biology and evolution)
  10. Accuracy and power of the likelihood ratio test in detecting adaptive molecular evolution. (Molecular biology and evolution)

Their papers