William Salerno

8.5k total citations
15 papers, 708 citations indexed

About

William Salerno is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, William Salerno has authored 15 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in William Salerno's work include Genomics and Phylogenetic Studies (10 papers), Genomics and Rare Diseases (6 papers) and Genomic variations and chromosomal abnormalities (3 papers). William Salerno is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Genomics and Rare Diseases (6 papers) and Genomic variations and chromosomal abnormalities (3 papers). William Salerno collaborates with scholars based in United States, Switzerland and Australia. William Salerno's co-authors include Jeffrey G. Reid, Adam C. English, Ishwar Radhakrishnan, Linda Hicke, Richard S. Kang, Donna M. Muzny, Eric Boerwinkle, Richard A. Gibbs, Andrew Carroll and Brian Armstrong and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

William Salerno

14 papers receiving 700 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William Salerno United States 9 507 290 94 89 73 15 708
Birgit Krabichler Austria 12 488 1.0× 395 1.4× 63 0.7× 135 1.5× 131 1.8× 17 786
Avanti Shrikumar United States 9 1.0k 2.0× 181 0.6× 63 0.7× 122 1.4× 33 0.5× 13 1.1k
Brian T. Lee United States 6 889 1.8× 205 0.7× 82 0.9× 242 2.7× 26 0.4× 8 1.1k
Galt P Barber United States 4 805 1.6× 228 0.8× 99 1.1× 230 2.6× 24 0.3× 4 1.1k
Eiru Kim South Korea 15 980 1.9× 245 0.8× 148 1.6× 246 2.8× 36 0.5× 23 1.2k
G. P. Barber United States 3 914 1.8× 161 0.6× 126 1.3× 157 1.8× 22 0.3× 3 1.1k
G. Zehetner United Kingdom 10 626 1.2× 200 0.7× 95 1.0× 59 0.7× 48 0.7× 12 790
Jean Monlong United States 10 581 1.1× 227 0.8× 138 1.5× 192 2.2× 29 0.4× 16 896
Marco Antonio Mendoza-Parra France 14 774 1.5× 136 0.5× 92 1.0× 113 1.3× 86 1.2× 36 865
Jairo Navarro Gonzalez United States 4 628 1.2× 177 0.6× 66 0.7× 194 2.2× 18 0.2× 5 858

Countries citing papers authored by William Salerno

Since Specialization
Citations

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

Fields of papers citing papers by William Salerno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Salerno

This figure shows the co-authorship network connecting the top 25 collaborators of William Salerno. A scholar is included among the top collaborators of William Salerno 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 William Salerno. William Salerno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Rahib, Lola, William Salerno, Maisam Abu‐El‐Haija, et al.. (2024). Development of a core outcome set for recurrent acute and chronic pancreatitis: Results of a Delphi poll. Pancreatology. 24(8). 1237–1243.
2.
Gaynor, Sheila M., Tyler Joseph, Yuxin Zou, et al.. (2024). Yield of genetic association signals from genomes, exomes and imputation in the UK Biobank. Nature Genetics. 56(11). 2345–2351. 6 indexed citations
3.
Farek, Jesse, Daniel Hughes, William Salerno, et al.. (2022). xAtlas: scalable small variant calling across heterogeneous next-generation sequencing experiments. GigaScience. 12. 11 indexed citations
4.
Ranallo-Benavidez, T. Rhyker, Zachary H. Lemmon, Sebastian Soyk, et al.. (2021). Optimized sample selection for cost-efficient long-read population sequencing. Genome Research. 31(5). 910–918. 7 indexed citations
5.
Lin, Michael, Xiaodong Bai, William Salerno, & Jeffrey G. Reid. (2020). Sparse Project VCF: efficient encoding of population genotype matrices. Bioinformatics. 36(22-23). 5537–5538. 8 indexed citations
6.
Abel, Haley, David E. Larson, Allison Regier, et al.. (2020). Mapping and characterization of structural variation in 17,795 human genomes. Nature. 583(7814). 83–89. 148 indexed citations
7.
Zarate, Samantha, Andrew Carroll, Medhat Mahmoud, et al.. (2020). Parliament2: Accurate structural variant calling at scale. GigaScience. 9(12). 45 indexed citations
8.
Leung, Yuk Yee, Otto Valladares, Yi‐Fan Chou, et al.. (2018). VCPA: genomic variant calling pipeline and data management tool for Alzheimer’s Disease Sequencing Project. Bioinformatics. 35(10). 1768–1770. 20 indexed citations
9.
Hampton, Oliver, Adam C. English, Mark L. Wang, et al.. (2017). SVachra: a tool to identify genomic structural variation in mate pair sequencing data containing inward and outward facing reads. BMC Genomics. 18(S6). 691–691. 3 indexed citations
10.
11.
English, Adam C., William Salerno, & Jeffrey G. Reid. (2014). PBHoney: identifying genomic variants via long-read discordance and interrupted mapping. BMC Bioinformatics. 15(1). 180–180. 100 indexed citations
12.
Reid, Jeffrey G., Andrew Carroll, Narayanan Veeraraghavan, et al.. (2014). Launching genomics into the cloud: deployment of Mercury, a next generation sequence analysis pipeline. BMC Bioinformatics. 15(1). 30–30. 111 indexed citations
13.
Salerno, William, Paul Havlak, & Jonathan Miller. (2006). Scale-invariant structure of strongly conserved sequence in genomic intersections and alignments. Proceedings of the National Academy of Sciences. 103(35). 13121–13125. 18 indexed citations
14.
Salerno, William, et al.. (2004). MONSTER: inferring non-covalent interactions in macromolecular structures from atomic coordinate data. Nucleic Acids Research. 32(Web Server). W566–W568. 36 indexed citations
15.
Kang, Richard S., et al.. (2003). Solution Structure of a CUE-Ubiquitin Complex Reveals a Conserved Mode of Ubiquitin Binding. Cell. 113(5). 621–630. 194 indexed citations

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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