Salvatore Pernagallo
- Hepatology top 10%
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- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 4
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- Advanced biosensing and bioanalysis techniques 15
- RNA Interference and Gene Delivery 9
- Biomaterials top 10%
- Biomedical Engineering top 10%
- Biosensors and Analytical Detection 9
- 3D Printing in Biomedical Research 5
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- Molecular Sensors and Ion Detection 3
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- Trypanosoma species research and implications 3
- Co-authors
- Juan J. Díaz‐MochónMark BradleyRosario M. Sánchez‐MartínHugh IlyineJames W. DearDavid C. HayJohn P. IredaleJames R. Black
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (2 papers)Analytical Chemistry (2 papers)
- Partner nations
- United KingdomSpainItaly
In The Last Decade
Salvatore Pernagallo
42 papers receiving 832 citations
Peers
Comparison fields: 5 of 96
- Hepatology 104
- Cancer Research 133
- Molecular Biology 530
- Biomaterials 95
- Biomedical Engineering 268
Countries citing papers authored by Salvatore Pernagallo
This map shows the geographic impact of Salvatore Pernagallo'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 Pernagallo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salvatore Pernagallo more than expected).
Fields of papers citing papers by Salvatore Pernagallo
This network shows the impact of papers produced by Salvatore Pernagallo. 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 Pernagallo. The network helps show where Salvatore Pernagallo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Salvatore Pernagallo, 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 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 11 | |
| 8 | 2020 | 16 | |
| 9 | 2019 | 15 | |
| 10 | 2019 | 18 | |
| 11 | 2019 | 25 | |
| 12 | 2019 | 14 | |
| 13 | 2019 | 21 | |
| 14 | 2016 | 1 | |
| 15 | 2012 | 7 | |
| 16 | 2010 | 70 | |
| 17 | 2009 | 33 | |
| 18 | A SIMPLE POLYURETHANE MATRIX PROMOTES HEPATIC ENDODERM VIABILITY AND INDUCIBLE DRUG METABOLISM: IMPLICATIONS FOR DRUG TOXICOLOGY TESTING AND THE DESIGN OF LIVER SUPPORT DEVICES | 2009 | 1 |
| 19 | 2008 | 25 | |
| 20 | 2008 | 24 |
About Salvatore Pernagallo
Salvatore Pernagallo is a scholar working on Cancer Research, Biophysics and Molecular Biology, having authored 44 papers that have together received 843 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (15 papers), MicroRNA in disease regulation (11 papers), RNA Interference and Gene Delivery (9 papers), Biosensors and Analytical Detection (9 papers), 3D Printing in Biomedical Research (5 papers), Cancer-related molecular mechanisms research (4 papers), Molecular Sensors and Ion Detection (3 papers) and Trypanosoma species research and implications (3 papers). The work is most often cited by research in Hepatology (104 citations), Cancer Research (133 citations) and Molecular Biology (530 citations). Salvatore Pernagallo has collaborated with scholars based in United Kingdom, Spain and Italy. Frequent co-authors include Juan J. Díaz‐Mochón, Mark Bradley, Rosario M. Sánchez‐Martín, Hugh Ilyine, James W. Dear, David C. Hay, John P. Iredale, James R. Black, Claire N. Medine and James A. Ross. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.
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.