Elisabetta Faggi
- Epidemiology top 10%
- Infectious Diseases top 10%
- Cell Biology top 10%
- Plant Science
- Health, Toxicology and Mutagenesis
- Co-authors
- Gabriella PiniRosa FanciRosa DonatoGian Andrea PiniFrancesca ManciantiElisa Margherita DifonzoE. M. DifonzoCristiana Sacco
- Topics
- Fungal Infections and Studies (16 papers)Antifungal resistance and susceptibility (13 papers)Plant Pathogens and Fungal Diseases (11 papers)
In The Last Decade
Elisabetta Faggi
27 papers receiving 438 citations
Peers
Comparison fields: 5 of 70
- Epidemiology 317
- Infectious Diseases 215
- Cell Biology 171
- Plant Science 70
- Health, Toxicology and Mutagenesis 50
Countries citing papers authored by Elisabetta Faggi
This map shows the geographic impact of Elisabetta Faggi'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 Elisabetta Faggi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabetta Faggi more than expected).
Fields of papers citing papers by Elisabetta Faggi
This network shows the impact of papers produced by Elisabetta Faggi. 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 Elisabetta Faggi. The network helps show where Elisabetta Faggi may publish in the future.
Co-authorship network of co-authors of Elisabetta Faggi
This figure shows the co-authorship network connecting the top 25 collaborators of Elisabetta Faggi. A scholar is included among the top collaborators of Elisabetta Faggi 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 Elisabetta Faggi. Elisabetta Faggi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 10 | |
| 3 | 13 | |
| 4 | Survey of Toxocara canis eggs in canine faeces collected from urban green areas of Florence | 2 |
| 5 | 35 | |
| 6 | 16 | |
| 7 | 19 | |
| 8 | 26 | |
| 9 | 37 | |
| 10 | 1 | |
| 11 | 29 | |
| 12 | 21 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | Typing of Cryptococcus neoformans strains by random PCR | 4 |
| 17 | 30 | |
| 18 | 19 | |
| 19 | Improvement of dissolution properties and microbiological activity of miconazole and econazole by cyclodextrin complexation | 20 |
| 20 | Dermatophytes isoles des carnivores domestiques a Florence (Italie): enquete epidemiologique. | 4 |
About Elisabetta Faggi
Elisabetta Faggi is a scholar working on Infectious Diseases, Cell Biology and Epidemiology, having authored 29 papers that have together received 469 indexed citations. Recurring topics across this work include Fungal Infections and Studies (16 papers), Antifungal resistance and susceptibility (13 papers) and Plant Pathogens and Fungal Diseases (11 papers). The work is most often cited by research in Infectious Diseases (215 citations), Cell Biology (171 citations) and Epidemiology (317 citations). Elisabetta Faggi has collaborated with scholars based in Italy and Thailand. Frequent co-authors include Gabriella Pini, Rosa Fanci, Rosa Donato, Gian Andrea Pini, Francesca Mancianti, Elisa Margherita Difonzo, E. M. Difonzo, Cristiana Sacco, Clelia Miracco and C. Alessandrini. Their work appears in journals such as Journal of Clinical Microbiology, European Journal of Pharmaceutics and Biopharmaceutics and European Journal of Epidemiology.
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.