Andrea Marıno
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 16
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- Antibiotic Use and Resistance 8
- Endocrinology top 5%
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 8
- COVID-19 Clinical Research Studies 8
- Health Informatics top 10%
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- Antibiotics Pharmacokinetics and Efficacy 11
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- HIV-related health complications and treatments 6
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- Long-Term Effects of COVID-19 6
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- Viral-associated cancers and disorders 6
- Co-authors
- Bruno CacopardoGiuseppe NunnariManuela CeccarelliStefano StracquadanioBenedetto Maurizio CelesiaOlga LamacchiaMauro CignarelliStefania Stefani
- Journals
- SHILAP Revista de lepidopterología (7 papers)International Journal of Molecular Sciences (4 papers)Emerging infectious diseases (1 paper)
- Partner nations
- ItalyUnited StatesGreece
In The Last Decade
Andrea Marıno
81 papers receiving 934 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Medicine 153
- Applied Microbiology and Biotechnology 56
- Endocrinology 73
- Infectious Diseases 250
- Health Informatics 14
Countries citing papers authored by Andrea Marıno
This map shows the geographic impact of Andrea Marıno'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 Andrea Marıno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Marıno more than expected).
Fields of papers citing papers by Andrea Marıno
This network shows the impact of papers produced by Andrea Marıno. 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 Andrea Marıno. The network helps show where Andrea Marıno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrea Marıno, 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 | 5 | |
| 2 | 2025 | 11 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 11 | |
| 8 | The Global Burden of Sepsis and Septic Shockbreakdown → | 2024 | 70 |
| 9 | 2024 | 0 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 27 | |
| 13 | 2023 | 16 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2022 | 41 | |
| 17 | 2022 | 8 | |
| 18 | 2020 | 10 | |
| 19 | 2019 | 3 | |
| 20 | 2013 | 2 |
About Andrea Marıno
Andrea Marıno is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Infectious Diseases, having authored 89 papers that have together received 953 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Antibiotics Pharmacokinetics and Efficacy (11 papers), Tuberculosis Research and Epidemiology (8 papers), COVID-19 Clinical Research Studies (8 papers), Antibiotic Use and Resistance (8 papers), HIV-related health complications and treatments (6 papers), Long-Term Effects of COVID-19 (6 papers) and Viral-associated cancers and disorders (6 papers). The work is most often cited by research in Molecular Medicine (153 citations), Applied Microbiology and Biotechnology (56 citations) and Endocrinology (73 citations). Andrea Marıno has collaborated with scholars based in Italy, United States and Greece. Frequent co-authors include Bruno Cacopardo, Giuseppe Nunnari, Manuela Ceccarelli, Stefano Stracquadanio, Benedetto Maurizio Celesia, Olga Lamacchia, Mauro Cignarelli, Stefania Stefani, Miguel Del Campo and Francesco Giorgino. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Emerging infectious diseases.
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.