Andreina Baj
Impact in
- General Dentistry top 0.5%
- Dental Research and COVID-19
- Biological Psychiatry top 2%
Papers in
-
- SARS-CoV-2 and COVID-19 Research 20
- COVID-19 Clinical Research Studies 11
- SARS-CoV-2 detection and testing 8
-
- Gut microbiota and health 7
- Co-authors
- Cristina Giaroni (22 shared papers)Michela Bistoletti (13 shared papers)Francesca Crema (10 shared papers)Annalisa Bosi (14 shared papers)Lorenzo Azzi (16 shared papers)Daniela Dalla Gasperina (20 shared papers)Elisabetta Moro (9 shared papers)Fabrizio Maggi (32 shared papers)
- Journals
- Emerging infectious diseases (4 papers)Cells (4 papers)International Journal of Molecular Sciences (3 papers)Viruses (3 papers)Scientific Reports (2 papers)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Andreina Baj
80 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 123
- General Dentistry 157
- Biological Psychiatry 154
- Infectious Diseases 848
- Gastroenterology 176
- Pharmacy 50
Countries citing papers authored by Andreina Baj
This map shows the geographic impact of Andreina Baj'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 Andreina Baj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreina Baj more than expected).
Fields of papers citing papers by Andreina Baj
This network shows the impact of papers produced by Andreina Baj. 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 Andreina Baj. The network helps show where Andreina Baj may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreina Baj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 436 | |
| 2 | 2019 | 243 | |
| 3 | 2020 | 151 | |
| 4 | 2021 | 146 | |
| 5 | 2021 | 105 | |
| 6 | 2019 | 72 | |
| 7 | 2002 | 62 | |
| 8 | 2020 | 56 | |
| 9 | 2020 | 54 | |
| 10 | 2021 | 50 | |
| 11 | 2021 | 49 | |
| 12 | 2021 | 41 | |
| 13 | 2023 | 38 | |
| 14 | 2017 | 34 | |
| 15 | 2021 | 34 | |
| 16 | 2020 | 33 | |
| 17 | 2022 | 29 | |
| 18 | 2005 | 28 | |
| 19 | 2022 | 28 | |
| 20 | 2015 | 28 |
About Andreina Baj
Andreina Baj is a scholar working on Infectious Diseases, Molecular Biology, Gastroenterology, Epidemiology and Animal Science and Zoology, having authored 82 papers that have together received 2.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (20 papers), COVID-19 Clinical Research Studies (11 papers), Gastrointestinal motility and disorders (10 papers), Animal Virus Infections Studies (10 papers), Viral Infections and Immunology Research (9 papers), SARS-CoV-2 detection and testing (8 papers), Gut microbiota and health (7 papers) and Diabetes and associated disorders (5 papers). The work is most often cited by research in General Dentistry (157 citations), Biological Psychiatry (154 citations), Infectious Diseases (848 citations), Gastroenterology (176 citations) and Pharmacy (50 citations). Andreina Baj has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Cristina Giaroni, Michela Bistoletti, Francesca Crema, Annalisa Bosi, Lorenzo Azzi, Daniela Dalla Gasperina, Elisabetta Moro, Fabrizio Maggi, Angelo Genoni and Vittorio Maurino. Their work appears in journals such as Emerging infectious diseases, Cells, International Journal of Molecular Sciences, Viruses and Scientific Reports.
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.