William R. Pearson

29.0k citations

100 papers · 22.6k indexed · 5 hit papers · h-index 44

Impact in

Molecular Biology top 0.1%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Glutathione Transferases and Polymorphisms
- Protein Structure and Dynamics
- Genomics, phytochemicals, and oxidative stress
Genetics top 0.5%
- Bacterial Genetics and Biotechnology

Papers in

Molecular Biology 85
- Genomics and Phylogenetic Studies 43
- RNA and protein synthesis mechanisms 29
- Machine Learning in Bioinformatics 28
- Glutathione Transferases and Polymorphisms 19
- Genomics, phytochemicals, and oxidative stress 12
- Protein Structure and Dynamics 9
Architecture 1

Co-authors: David J. Lipman William R. Vorachek Todd Wood Webb Miller Janeric Seidegård R W Pero Zheng Zhang Aaron J. Mackey
Journals: Current Protocols in Bioinformatics (7 papers)Nucleic Acids Research (7 papers)Bioinformatics (6 papers)Journal of Biological Chemistry (6 papers)Methods in enzymology on CD-ROM/Methods in enzymology (5 papers)
Partner nations: United States United Kingdom Australia

In The Last Decade

William R. Pearson

99 papers receiving 21.7k citations

Hit Papers

5 papers align trajectories log scale

An Introduction to Sequence Similarity (“Homology”) Searching 2013 · 615 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2013 Current Protocols in Bioinformatics
1990 Methods in enzymology on CD-ROM/Methods in enzymology
1988 Proceedings of the National Academy of Sciences
1988 Proceedings of the National Academy of Sciences
1985 Science

Peers

Countries citing papers authored by William R. Pearson

Since Specialization

Citations

This map shows the geographic impact of William R. Pearson'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 William R. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William R. Pearson more than expected).

Fields of papers citing papers by William R. Pearson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William R. Pearson. 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 William R. Pearson. The network helps show where William R. Pearson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside William R. Pearson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William R. Pearson Line = papers co-authored together William R. Pearson links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Improved selection of canonical proteins for reference proteomes NAR Genomics and Bioinformatics ·Giuseppe Insana, María Martin, William R. Pearson	2024	2
2	Comparison of detection methods and genome quality when quantifying nuclear mitochondrial insertions in vertebrate genomes Frontiers in Genetics ·Deborah A. Triant, William R. Pearson	2022	4
3	Most partial domains in proteins are alignment and annotation artifacts Genome Biology ·Deborah A. Triant, William R. Pearson	2015	21
4	BLAST and FASTA Similarity Searching for Multiple Sequence Alignment Methods in molecular biology ·William R. Pearson	2013	35
5	Improving pairwise sequence alignment accuracy using near-optimal protein sequence alignments BMC Bioinformatics ·Michael Sierk, Michael Smoot, Ellen J. Bass, William R. Pearson	2010	10
6	Phylogenies of Glutathione Transferase Families Methods in enzymology on CD-ROM/Methods in enzymology ·William R. Pearson	2005	78
7	Identification of Residues in Glutathione Transferase Capable of Driving Functional Diversification in Evolution Journal of Biological Chemistry ·Ylva Ivarsson, Aaron J. Mackey, M. Blanchon, William R. Pearson, Bengt Mannervik	2003	75
8	Using the FASTA Program to Search Protein and DNA Sequence Databases Humana Press eBooks ·William R. Pearson	2003	143
9	Panning for Genes—A Visual Strategy for Identifying Novel Gene Orthologs and Paralogs Genome Research ·Jacques Retief, Kevin R. Lynch, William R. Pearson	1999	21
10	Rapid Identification of Protein Phosphatase 1-binding Proteins by Mixed Peptide Sequencing and Data Base Searching Journal of Biological Chemistry ·Cynthia Kay Damer, Jeffrey M. Partridge, William R. Pearson, Timothy Haystead	1998	60
11	Aligning a DNA Sequence with a Protein Sequence Journal of Computational Biology ·Zhao Zhang, William R. Pearson, Webb Miller	1997	27
12	Comparison of DNA Sequences with Protein Sequences Genomics ·William R. Pearson, Todd Wood, Zheng Zhang, Webb Miller	1997	499
13	On the primer selection problem in polymerase chain reaction experiments Discrete Applied Mathematics ·William R. Pearson, Gabriel Robins, D.E. Wrege, Tongtong Zhang	1996	25
14	Comparison of methods for searching protein sequence databases Protein Science ·William R. Pearson	1995	270
15	Protein sequence comparison and protein evolution University of North Texas Digital Library (University of North Texas) ·William R. Pearson	1995	12
16	Primary structure of avian H+/K+-ATPase β-subunit Biochimica et Biophysica Acta (BBA) - Biomembranes ·M. V. Lunina, Toshiaki Ishii, William R. Pearson, Kunio Takeyasu	1994	8
17	Homozygous deletion of gene for glutathione S-transferase M1 in bladder cancer. BMJ ·Ann K. Daly, David J. Thomas, Jeffrey J. Cooper, William R. Pearson, David E. Neal, Jeffrey R. Idle	1993	59
18	[27] Dynamic programming algorithms for biological sequence comparison Methods in enzymology on CD-ROM/Methods in enzymology ·William R. Pearson, Webb Miller	1992	76
19	Comparing machine-independent versus machine-specific parallelization of a software platform for biological sequence comparison Computer applications in the biosciences ·Perry L. Miller, Prakash M. Nadkarni, William R. Pearson	1992	6
20	The origin of nuclear receptor proteins: a single precursor distinct from other transcription factors. Molecular Endocrinology ·琢馬坂本, Robert H. Kretsinger, Nancy D. Moncrief, Keith R. Yamamoto, William R. Pearson	1992	72

About William R. Pearson

William R. Pearson is a scholar working on Molecular Biology, Architecture, Parasitology, Spectroscopy and Artificial Intelligence, having authored 100 papers that have together received 22.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (43 papers), RNA and protein synthesis mechanisms (29 papers), Machine Learning in Bioinformatics (28 papers), Glutathione Transferases and Polymorphisms (19 papers), Genomics, phytochemicals, and oxidative stress (12 papers), Algorithms and Data Compression (11 papers), Advanced Proteomics Techniques and Applications (10 papers) and Protein Structure and Dynamics (9 papers). The work is most often cited by research in Molecular Biology (16.4k citations), Genetics (3.0k citations), Parasitology (661 citations), Endocrinology (466 citations) and Plant Science (3.2k citations). William R. Pearson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include David J. Lipman, William R. Vorachek, Todd Wood, Webb Miller, Janeric Seidegård, R W Pero, Zheng Zhang, Aaron J. Mackey, Timothy Haystead and Roy J. Britten. Their work appears in journals such as Current Protocols in Bioinformatics, Nucleic Acids Research, Bioinformatics, Journal of Biological Chemistry and Methods in enzymology on CD-ROM/Methods in enzymology.

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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