William Salerno
Impact in
- Genetics top 10%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
-
- Genomics and Phylogenetic Studies
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
Papers in
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- Genomics and Phylogenetic Studies 10
- Gene expression and cancer classification 2
- Genetics 9
- Genomics and Rare Diseases 6
- Genomic variations and chromosomal abnormalities 3
- Genetic Associations and Epidemiology 2
- Genetic and phenotypic traits in livestock 1
- Co-authors
- Jeffrey G. Reid (4 shared papers)Adam C. English (4 shared papers)Ishwar Radhakrishnan (2 shared papers)Linda Hicke (1 shared paper)Richard S. Kang (1 shared paper)Donna M. Muzny (4 shared papers)Richard A. Gibbs (4 shared papers)Eric Boerwinkle (4 shared papers)
- Journals
- Bioinformatics (2 papers)BMC Bioinformatics (2 papers)GigaScience (2 papers)Alzheimer s & Dementia (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
William Salerno
14 papers receiving 700 citations
Peers
Comparison fields: 5 of 90
- Genetics 290
- Molecular Biology 507
- Cancer Research 89
- Cell Biology 73
- Plant Science 94
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 | 194 | |
| 2 | 2020 | 148 | |
| 3 | 2014 | 111 | |
| 4 | 2014 | 100 | |
| 5 | 2020 | 45 | |
| 6 | 2004 | 36 | |
| 7 | 2018 | 20 | |
| 8 | 2006 | 18 | |
| 9 | 2022 | 11 | |
| 10 | 2020 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2017 | 3 | |
| 14 | 2016 | 1 | |
| 15 | 2024 | 0 |
About William Salerno
William Salerno is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Sociology and Political Science, having authored 15 papers that have together received 708 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Genomics and Rare Diseases (6 papers), Genomic variations and chromosomal abnormalities (3 papers), Cancer Genomics and Diagnostics (2 papers), Genetic Associations and Epidemiology (2 papers), Gene expression and cancer classification (2 papers), Delphi Technique in Research (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Genetics (290 citations), Molecular Biology (507 citations), Cancer Research (89 citations), Cell Biology (73 citations) and Plant Science (94 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, Linda Hicke, Richard S. Kang, Donna M. Muzny, Richard A. Gibbs, Eric Boerwinkle, Andrew Carroll and Brian Armstrong. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, GigaScience, Alzheimer s & Dementia and Nature Genetics.
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.