Anna Vecchiarelli
Impact in
- Infectious Diseases top 1%
- Antifungal resistance and susceptibility
- Epidemiology top 1%
- Fungal Infections and Studies
Papers in
-
- Antifungal resistance and susceptibility 61
- Epidemiology 66
- Fungal Infections and Studies 66
- Co-authors
- Francesco Bistoni (84 shared papers)Claudia Monari (54 shared papers)Donatella Pietrella (47 shared papers)Stefano Perito (42 shared papers)Elio Cenci (34 shared papers)Cinzia Retini (21 shared papers)Eva Pericolini (42 shared papers)Thomas R. Kozel (20 shared papers)
- Journals
- Infection and Immunity (26 papers)PLoS ONE (8 papers)The Journal of Infectious Diseases (8 papers)Medical Mycology (7 papers)Cellular Microbiology (6 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Anna Vecchiarelli
166 papers receiving 6.4k citations
Peers
Comparison fields: 5 of 120
- Infectious Diseases 2k
- Epidemiology 2.5k
- Microbiology 409
- Immunology 963
- Virology 129
Countries citing papers authored by Anna Vecchiarelli
This map shows the geographic impact of Anna Vecchiarelli'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 Vecchiarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Vecchiarelli more than expected).
Fields of papers citing papers by Anna Vecchiarelli
This network shows the impact of papers produced by Anna Vecchiarelli. 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 Vecchiarelli. The network helps show where Anna Vecchiarelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Vecchiarelli, 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 168 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 252 | |
| 2 | 2000 | 183 | |
| 3 | 1995 | 163 | |
| 4 | 1996 | 161 | |
| 5 | 2007 | 143 | |
| 6 | 1996 | 118 | |
| 7 | 2009 | 108 | |
| 8 | 2011 | 102 | |
| 9 | 2002 | 101 | |
| 10 | 2012 | 96 | |
| 11 | 2003 | 93 | |
| 12 | 2015 | 93 | |
| 13 | 1988 | 90 | |
| 14 | 1994 | 87 | |
| 15 | 2005 | 87 | |
| 16 | 2005 | 87 | |
| 17 | 1998 | 83 | |
| 18 | 2005 | 81 | |
| 19 | 2013 | 81 | |
| 20 | 1989 | 77 |
About Anna Vecchiarelli
Anna Vecchiarelli is a scholar working on Infectious Diseases, Epidemiology, Immunology, Microbiology and Molecular Biology, having authored 168 papers that have together received 6.5k indexed citations. Recurring topics across this work include Fungal Infections and Studies (66 papers), Antifungal resistance and susceptibility (61 papers), Reproductive tract infections research (11 papers), Fungal and yeast genetics research (10 papers), Immune Response and Inflammation (10 papers), T-cell and B-cell Immunology (9 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Infectious Diseases (2k citations), Epidemiology (2.5k citations), Microbiology (409 citations), Immunology (963 citations) and Virology (129 citations). Anna Vecchiarelli has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Francesco Bistoni, Claudia Monari, Donatella Pietrella, Stefano Perito, Elio Cenci, Cinzia Retini, Eva Pericolini, Thomas R. Kozel, Antonio Cassone and Arturo Casadevall. Their work appears in journals such as Infection and Immunity, PLoS ONE, The Journal of Infectious Diseases, Medical Mycology and Cellular Microbiology.
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.