Peter J. Waddell

6.4k total citations · 1 hit paper
55 papers, 4.6k citations indexed

About

Peter J. Waddell is a scholar working on Molecular Biology, Genetics and Paleontology. According to data from OpenAlex, Peter J. Waddell has authored 55 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 28 papers in Genetics and 15 papers in Paleontology. Recurrent topics in Peter J. Waddell's work include Genomics and Phylogenetic Studies (34 papers), Genetic diversity and population structure (25 papers) and Evolution and Paleontology Studies (15 papers). Peter J. Waddell is often cited by papers focused on Genomics and Phylogenetic Studies (34 papers), Genetic diversity and population structure (25 papers) and Evolution and Paleontology Studies (15 papers). Peter J. Waddell collaborates with scholars based in United States, New Zealand and Japan. Peter J. Waddell's co-authors include David L. Swofford, John P. Huelsenbeck, Masami Hasegawa, Cliff Cunningham, Hirohisa Kishino, James J. Bull, Mike Steel, Norihiro Okada, David Penny and Ying Cao and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Peter J. Waddell

54 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Partitioning and Combining Data in Phylogenetic Analysis

1993 770 citations Peter J. Waddell et al. Systematic Biology profile →

Peers

Countries citing papers authored by Peter J. Waddell

Since Specialization

Citations

This map shows the geographic impact of Peter J. Waddell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter J. Waddell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Waddell more than expected).

Fields of papers citing papers by Peter J. Waddell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Waddell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter J. Waddell. The network helps show where Peter J. Waddell may publish in the future.

Co-authorship network of co-authors of Peter J. Waddell

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Waddell. A scholar is included among the top collaborators of Peter J. Waddell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter J. Waddell. Peter J. Waddell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Widespread introgression across a phylogeny of 155 Drosophila genomes 2021 ·Current Biology ·Anton Suvorov, Bernard Kim, Jeremy Wang, Ellie E. Armstrong, David Peede, Emmanuel R. R. D’Agostino, Donald K. Price, Peter J. Waddell, Michael Lang, Virginie Courtier‐Orgogozo, Jean David, Dmitri A. Petrov, Daniel R. Matute, Daniel R. Schrider, Aaron A. Comeault	138
2	Effects of DNA methylation on nucleosome stability 2013 ·Nucleic Acids Research ·Clayton K. Collings, Peter J. Waddell, John N. Anderson	77
3	Structure of Penaeus stylirostris Densovirus, a Shrimp Pathogen 2010 ·Journal of Virology ·Bärbel Kaufmann, Valorie D. Bowman, Yi Li, József Szelei, Peter J. Waddell, Peter Tijssen, Michael G. Rossmann	42
4	Measuring Fit of Sequence Data to Phylogenetic Model: Gain of Power Using Marginal Tests 2009 ·Journal of Molecular Evolution ·Peter J. Waddell, (unknown), David Penny	11
5	Robust Time Estimation Reconciles Views of the Antiquity of Placental Mammals 2007 ·PLoS ONE ·Y. Kitazoe, Hirohisa Kishino, Peter J. Waddell, N. Nakajima, (unknown), (unknown), Yoshiyasu Okuhara	49
6	Evolutionary History of LINE-1 in the Major Clades of Placental Mammals 2007 ·PLoS ONE ·Paul D. Waters, Gauthier Dobigny, Peter J. Waddell, Terence J. Robinson	52
7	Measuring the Fit of Sequence Data to Phylogenetic Model: Allowing for Missing Data 2004 ·Molecular Biology and Evolution ·Peter J. Waddell	11
8	Molecular systematics of primary reptilian lineages and the tuatara mitochondrial genome 2003 ·Molecular Phylogenetics and Evolution ·Joshua S. Rest, Jennifer C. Ast, Christopher C. Austin, Peter J. Waddell, Elizabeth A. Tibbetts, Jennifer M. Hay, David P. Mindell	157
9	Evaluating placental inter-ordinal phylogenies with novel sequences including RAG1, γ-fibrinogen, ND6, and mt-tRNA, plus MCMC-driven nucleotide, amino acid, and codon models 2003 ·Molecular Phylogenetics and Evolution ·Peter J. Waddell, (unknown)	97
10	Pika and vole mitochondrial genomes increase support for both rodent monophyly and glires 2002 ·Gene ·Yu-Hsin Lin, Peter J. Waddell, David Penny	76
11	Mammalian Evolution: Timing and Implications from Using the LogDeterminant Transform for Proteins of Differing Amino Acid Composition 1999 ·Systematic Biology ·David Penny, Masami Hasegawa, Peter J. Waddell, Michael D. Hendy	72
12	Assessing the Cretaceous Superordinal Divergence Times within Birds and Placental Mammals by Using Whole Mitochondrial Protein Sequences and an Extended Statistical Framework 1999 ·Systematic Biology ·Peter J. Waddell, Ying Cao, Mikio Hasegawa, David P. Mindell	101
13	Using Novel Phylogenetic Methods to Evaluate Mammalian mtDNA, Including Amino Acid-Invariant Sites-LogDet plus Site Stripping, to Detect Internal Conflicts in the Data, with Special Reference to the Positions of Hedgehog, Armadillo, and Elephant 1999 ·Systematic Biology ·Peter J. Waddell, Ying Cao, (unknown), Masami Hasegawa	151
14	Approximating likelihoods under low but variable rates across sites 1999 ·Applied Mathematics Letters ·Mike Steel, Peter J. Waddell	1
15	The complete mitochondrial DNA sequence of the shark Mustelus manazo: evaluating rooting contradictions to living bony vertebrates 1998 ·Molecular Biology and Evolution ·Ying Cao, Peter J. Waddell, Norihiro Okada, M. Hasegawa	81
16	General Time-Reversible Distances with Unequal Rates across Sites: Mixing Γ and Inverse Gaussian Distributions with Invariant Sites 1997 ·Molecular Phylogenetics and Evolution ·Peter J. Waddell, Mike Steel	174
17	Hadamard Conjugations and Modeling Sequence Evolution with Unequal Rates across Sites 1997 ·Molecular Phylogenetics and Evolution ·Peter J. Waddell, David Penny, (unknown)	36
18	Improved analyses of human mtDNA sequences support a recent African origin for Homo sapiens. 1995 ·Molecular Biology and Evolution ·David Penny, Mike Steel, Peter J. Waddell, Michael D. Hendy	57
19	Long range shipwreck timber storage 1994 ·Peter J. Waddell	2
20	A complete family of phylogenetic invariants for any number of taxa under Kimura's 3ST model 1993 ·New Zealand Journal of Botany ·Mike Steel, Łászló A. Székely, Péter L. Erdős, Peter J. Waddell	47

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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