Anna Teresa Palamara
- Molecular Biology top 2%
- Epidemiology top 1%
- Infectious Diseases top 1%
- Immunology top 2%
- Physiology top 5%
- Co-authors
- Enrico GaraciLucia NencioniGiovanna De ChiaraMaria Elena MarcocciMaria Rosa CirioloClaudio GrassiRoberto PiacentiniDaniela Scribano
- Topics
- Influenza Virus Research Studies (24 papers)SARS-CoV-2 and COVID-19 Research (16 papers)Polyomavirus and related diseases (16 papers)
- Journals
- The LancetJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Anna Teresa Palamara
224 papers receiving 7.6k citations
Peers
Comparison fields: 5 of 159
- Molecular Biology 2.7k
- Epidemiology 1.7k
- Infectious Diseases 1.4k
- Immunology 1.2k
- Physiology 758
Countries citing papers authored by Anna Teresa Palamara
This map shows the geographic impact of Anna Teresa Palamara'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 Anna Teresa Palamara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Teresa Palamara more than expected).
Fields of papers citing papers by Anna Teresa Palamara
This network shows the impact of papers produced by Anna Teresa Palamara. 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 Anna Teresa Palamara. The network helps show where Anna Teresa Palamara may publish in the future.
Co-authorship network of co-authors of Anna Teresa Palamara
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Teresa Palamara. A scholar is included among the top collaborators of Anna Teresa Palamara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna Teresa Palamara. Anna Teresa Palamara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 20 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 18 | |
| 9 | 27 | |
| 10 | 136 | |
| 11 | 42 | |
| 12 | 29 | |
| 13 | 47 | |
| 14 | 15 | |
| 15 | 26 | |
| 16 | 45 | |
| 17 | 61 | |
| 18 | Influenza virus replication in lung epithelial cells depends on redox-sensitive pathways activated by NOX4-derived ROS. | 2 |
| 19 | 18 | |
| 20 | 53 |
About Anna Teresa Palamara
Anna Teresa Palamara is a scholar working on Endocrinology, Infectious Diseases and Biological Psychiatry, having authored 230 papers that have together received 7.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (24 papers), SARS-CoV-2 and COVID-19 Research (16 papers) and Polyomavirus and related diseases (16 papers). The work is most often cited by research in Biological Psychiatry (443 citations), Virology (401 citations) and Infectious Diseases (1.4k citations). Anna Teresa Palamara has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Enrico Garaci, Lucia Nencioni, Giovanna De Chiara, Maria Elena Marcocci, Maria Rosa Ciriolo, Claudio Grassi, Roberto Piacentini, Daniela Scribano, Rossella Sgarbanti and Cecilia Ambrosi. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.