Salvatore Alaimo
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- Computational Drug Discovery Methods 6
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 7
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- Bioinformatics and Genomic Networks 13
- RNA modifications and cancer 6
- Genomics and Phylogenetic Studies 5
- Gene expression and cancer classification 5
- RNA Research and Splicing 4
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- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- Alfredo PulvirentiAlfredo FerroRosalba GiugnoSalvatore Di MarcaEmanuela CataudellaLorenzo MalatinoBenedetta StancanelliAlessandro La Ferlita
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Bioinformatics (3 papers)Cancer Research (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Salvatore Alaimo
45 papers receiving 935 citations
Peers
Comparison fields: 5 of 115
- Computational Theory and Mathematics 211
- Cancer Research 194
- Molecular Biology 506
- Oncology 126
- Epidemiology 149
Countries citing papers authored by Salvatore Alaimo
This map shows the geographic impact of Salvatore Alaimo'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 Salvatore Alaimo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salvatore Alaimo more than expected).
Fields of papers citing papers by Salvatore Alaimo
This network shows the impact of papers produced by Salvatore Alaimo. 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 Salvatore Alaimo. The network helps show where Salvatore Alaimo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Salvatore Alaimo, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 19 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 9 | |
| 15 | 2019 | 12 | |
| 16 | 2019 | 2 | |
| 17 | 2018 | 15 | |
| 18 | 2018 | 46 | |
| 19 | 2018 | 14 | |
| 20 | 2017 | 87 |
About Salvatore Alaimo
Salvatore Alaimo is a scholar working on Cancer Research, Molecular Biology and Computational Theory and Mathematics, having authored 49 papers that have together received 948 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (13 papers), Cancer-related molecular mechanisms research (7 papers), Computational Drug Discovery Methods (6 papers), RNA modifications and cancer (6 papers), Genomics and Phylogenetic Studies (5 papers), Gene expression and cancer classification (5 papers), RNA Research and Splicing (4 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Computational Theory and Mathematics (211 citations), Cancer Research (194 citations) and Molecular Biology (506 citations). Salvatore Alaimo has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alfredo Pulvirenti, Alfredo Ferro, Rosalba Giugno, Salvatore Di Marca, Emanuela Cataudella, Lorenzo Malatino, Benedetta Stancanelli, Alessandro La Ferlita, Rosario Di Quattro and Valentina Terranova. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Cancer Research.
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.