Daniela Frasca
- Immunology top 0.5%
- Immune Cell Function and Interaction 82
- T-cell and B-cell Immunology 69
- Immunotherapy and Immune Responses 23
- Atherosclerosis and Cardiovascular Diseases 14
- Immune Response and Inflammation 14
- Biological Psychiatry top 1%
- Aging top 2%
- Neurology top 1%
- Epidemiology top 1%
- Adipokines, Inflammation, and Metabolic Diseases 23
- Influenza Virus Research Studies 13
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- Diabetes and associated disorders 27
- Co-authors
- Bonnie B. BlombergAlain DiazMaria RomeroRichard L. RileyAna Marie LandinGino DoriaRoberto PaganelliSuzanne C. Lechner
- Cited by
- ImmunologyBiological PsychiatryAging
- Journals
- The Journal of Immunology (20 papers)Mechanisms of Ageing and Development (12 papers)Experimental Gerontology (8 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Daniela Frasca
163 papers receiving 6.9k citations
Peers
Comparison fields: 5 of 136
- Immunology 3.6k
- Biological Psychiatry 283
- Aging 147
- Neurology 545
- Epidemiology 2.0k
Countries citing papers authored by Daniela Frasca
This map shows the geographic impact of Daniela Frasca'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 Daniela Frasca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Frasca more than expected).
Fields of papers citing papers by Daniela Frasca
This network shows the impact of papers produced by Daniela Frasca. 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 Daniela Frasca. The network helps show where Daniela Frasca may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Frasca, 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 | 2024 | 1 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 19 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 5 | |
| 9 | 2020 | 32 | |
| 10 | 2011 | 84 | |
| 11 | 2010 | 1 | |
| 12 | Effects of fenbendazole on the murine humoral immune system. | 2009 | 12 |
| 13 | 2009 | 1 | |
| 14 | 2008 | 251 | |
| 15 | 2007 | 1 | |
| 16 | 2005 | 34 | |
| 17 | 2004 | 123 | |
| 18 | 2004 | 59 | |
| 19 | 1994 | 18 | |
| 20 | Effect of subcutaneous thymopentin treatment in drug addicts with persistent generalized lymphadenopathy. | 1987 | 11 |
About Daniela Frasca
Daniela Frasca is a scholar working on Immunology, Biological Psychiatry and Epidemiology, having authored 165 papers that have together received 7.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (82 papers), T-cell and B-cell Immunology (69 papers), Diabetes and associated disorders (27 papers), Adipokines, Inflammation, and Metabolic Diseases (23 papers), Immunotherapy and Immune Responses (23 papers), Atherosclerosis and Cardiovascular Diseases (14 papers), Immune Response and Inflammation (14 papers) and Influenza Virus Research Studies (13 papers). The work is most often cited by research in Immunology (3.6k citations), Biological Psychiatry (283 citations) and Aging (147 citations). Daniela Frasca has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Bonnie B. Blomberg, Alain Diaz, Maria Romero, Richard L. Riley, Ana Marie Landin, Gino Doria, Roberto Paganelli, Suzanne C. Lechner, John Ryan and Elaine Van der Put. Their work appears in journals such as The Journal of Immunology, Mechanisms of Ageing and Development, Experimental Gerontology, Immunity & Ageing and Frontiers in Immunology.
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.