William Salerno
Impact in
- Genetics top 10%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
-
- Genomics and Phylogenetic Studies
- Ubiquitin and proteasome pathways
- Glycosylation and Glycoproteins Research
- Genomics and Chromatin Dynamics
Papers in
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- Genomics and Phylogenetic Studies 5
- Ubiquitin and proteasome pathways 1
- Gene expression and cancer classification 1
- Genetics 5
- Genomic variations and chromosomal abnormalities 2
- Genetic Associations and Epidemiology 2
- Genetics and Neurodevelopmental Disorders 1
- Genomics and Rare Diseases 1
- Co-authors
- Jeffrey G. Reid (4 shared papers)Adam C. English (4 shared papers)Ishwar Radhakrishnan (2 shared papers)Richard S. Kang (1 shared paper)Linda Hicke (1 shared paper)Donna M. Muzny (4 shared papers)Eric Boerwinkle (4 shared papers)Richard A. Gibbs (4 shared papers)
- Journals
- BMC Bioinformatics (2 papers)GigaScience (2 papers)Bioinformatics (2 papers)Pancreatology (1 paper)Alzheimer s & Dementia (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
William Salerno
14 papers receiving 717 citations
Peers
Comparison fields: 5 of 88
- Genetics 267
- Molecular Biology 461
- Cancer Research 74
- Cell Biology 71
- Plant Science 80
Countries citing papers authored by William Salerno
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
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-authors
The 25 scholars most cited alongside William Salerno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 195 | |
| 2 | 2020 | 155 | |
| 3 | 2014 | 112 | |
| 4 | 2014 | 101 | |
| 5 | 2020 | 48 | |
| 6 | 2004 | 36 | |
| 7 | 2018 | 22 | |
| 8 | 2006 | 18 | |
| 9 | 2022 | 11 | |
| 10 | 2020 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2017 | 3 | |
| 14 | 2016 | 1 | |
| 15 | 2024 | 0 |
About William Salerno
William Salerno is a scholar working on Molecular Biology, Genetics, Computational Theory and Mathematics, Cell Biology and Materials Chemistry, having authored 15 papers that have together received 725 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Genomic variations and chromosomal abnormalities (2 papers), Genetic Associations and Epidemiology (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Ubiquitin and proteasome pathways (1 paper), Genomics and Rare Diseases (1 paper), Gene expression and cancer classification (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Genetics (267 citations), Molecular Biology (461 citations), Cancer Research (74 citations), Cell Biology (71 citations) and Plant Science (80 citations). William Salerno has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Jeffrey G. Reid, Adam C. English, Ishwar Radhakrishnan, Richard S. Kang, Linda Hicke, Donna M. Muzny, Eric Boerwinkle, Richard A. Gibbs, Andrew Carroll and Allison Regier. Their work appears in journals such as BMC Bioinformatics, GigaScience, Bioinformatics, Pancreatology and Alzheimer s & Dementia.
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.