Daniel J. Livorsi
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- Antibiotic Use and Resistance 47
- Clinical Biochemistry top 1%
- Bacterial Identification and Susceptibility Testing 22
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 8
- Infectious Diseases top 2%
- Antimicrobial Resistance in Staphylococcus 17
- Epidemiology top 10%
- Urinary Tract Infections Management 12
- Pneumonia and Respiratory Infections 10
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- Patient Satisfaction in Healthcare 32
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- Emergency and Acute Care Studies 8
- Co-authors
- Eli N. PerencevichMichihiko GotoNaasha J TalatiMelissa OsbornKrutika KuppalliMarin L. SchweizerRajeshwari NairBruce Alexander
- Journals
- SHILAP Revista de lepidopterología (8 papers)Clinical Infectious Diseases (11 papers)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Daniel J. Livorsi
84 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 113
- Applied Microbiology and Biotechnology 494
- Clinical Biochemistry 330
- Molecular Medicine 207
- Infectious Diseases 576
- Epidemiology 468
Countries citing papers authored by Daniel J. Livorsi
This map shows the geographic impact of Daniel J. Livorsi'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 J. Livorsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Livorsi more than expected).
Fields of papers citing papers by Daniel J. Livorsi
This network shows the impact of papers produced by Daniel J. Livorsi. 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 J. Livorsi. The network helps show where Daniel J. Livorsi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel J. Livorsi, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 28 | |
| 16 | 2020 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2019 | 28 | |
| 19 | 2018 | 90 | |
| 20 | 2018 | 5 |
About Daniel J. Livorsi
Daniel J. Livorsi is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Molecular Medicine, having authored 92 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (47 papers), Patient Satisfaction in Healthcare (32 papers), Bacterial Identification and Susceptibility Testing (22 papers), Antimicrobial Resistance in Staphylococcus (17 papers), Urinary Tract Infections Management (12 papers), Pneumonia and Respiratory Infections (10 papers), Emergency and Acute Care Studies (8 papers) and Antibiotic Resistance in Bacteria (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (494 citations), Clinical Biochemistry (330 citations) and Molecular Medicine (207 citations). Daniel J. Livorsi has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Eli N. Perencevich, Michihiko Goto, Naasha J Talati, Melissa Osborn, Krutika Kuppalli, Marin L. Schweizer, Rajeshwari Nair, Bruce Alexander, Michael Ohl and Brett H. Heintz. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Antimicrobial Agents and Chemotherapy.
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.