Daniel Ricciuto
- Infectious Diseases top 5%
- Epidemiology top 10%
- Clinical Biochemistry top 2%
- Public Health, Environmental and Occupational Health top 10%
- Applied Microbiology and Biotechnology top 1%
- Co-authors
- Andrew M. MorrisChaim M. BellLisa BurryMarilyn SteinbergAdrienne ShowlerAnthony D. BaiJ. Scott WeeseJane E. Sykes
- Topics
- Antimicrobial Resistance in Staphylococcus (7 papers)Bacterial Identification and Susceptibility Testing (6 papers)Infection Control in Healthcare (5 papers)
- Partner nations
- CanadaUnited StatesDenmark
In The Last Decade
Daniel Ricciuto
19 papers receiving 787 citations
Peers
Comparison fields: 5 of 99
- Infectious Diseases 373
- Epidemiology 278
- Clinical Biochemistry 259
- Public Health, Environmental and Occupational Health 151
- Applied Microbiology and Biotechnology 145
Countries citing papers authored by Daniel Ricciuto
This map shows the geographic impact of Daniel Ricciuto'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 Daniel Ricciuto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ricciuto more than expected).
Fields of papers citing papers by Daniel Ricciuto
This network shows the impact of papers produced by Daniel Ricciuto. 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 Daniel Ricciuto. The network helps show where Daniel Ricciuto may publish in the future.
Co-authorship network of co-authors of Daniel Ricciuto
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ricciuto. A scholar is included among the top collaborators of Daniel Ricciuto 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 Daniel Ricciuto. Daniel Ricciuto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 21 | |
| 7 | 6 | |
| 8 | 16 | |
| 9 | 19 | |
| 10 | 50 | |
| 11 | 199 | |
| 12 | 7 | |
| 13 | 196 | |
| 14 | 24 | |
| 15 | 65 | |
| 16 | 17 | |
| 17 | 153 | |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 4 |
About Daniel Ricciuto
Daniel Ricciuto is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Infectious Diseases, having authored 20 papers that have together received 806 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial Identification and Susceptibility Testing (6 papers) and Infection Control in Healthcare (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (145 citations), Clinical Biochemistry (259 citations) and Infectious Diseases (373 citations). Daniel Ricciuto has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include Andrew M. Morris, Chaim M. Bell, Lisa Burry, Marilyn Steinberg, Adrienne Showler, Anthony D. Bai, J. Scott Weese, Jane E. Sykes, Steeve Giguère and Mark G. Papich. Their work appears in journals such as Clinical Infectious Diseases, CHEST Journal and Critical Care Medicine.
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.