Stephen Parodi
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Antimicrobial Resistance in Staphylococcus
Papers in
-
- Antimicrobial Resistance in Staphylococcus 2
- COVID-19 Clinical Research Studies 1
- Surgery 2
- Enhanced Recovery After Surgery 2
- Co-authors
- Gabriel J. Escobar (3 shared papers)Laura C. Myers (3 shared papers)David C. Rhew (2 shared papers)Vincent X. Liu (3 shared papers)Patricia Kipnis (2 shared papers)G. Thomas Ray (1 shared paper)Richard Dlott (1 shared paper)Charulata Ramaprasad (1 shared paper)
- Journals
- JAMA (2 papers)Clinical Infectious Diseases (1 paper)Clinical Therapeutics (1 paper)JAMA Network Open (1 paper)Annals of Internal Medicine (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Stephen Parodi
12 papers receiving 890 citations
Peers
Comparison fields: 5 of 99
- Modeling and Simulation 74
- Infectious Diseases 263
- Applied Microbiology and Biotechnology 22
- Critical Care and Intensive Care Medicine 37
- Health 44
Countries citing papers authored by Stephen Parodi
This map shows the geographic impact of Stephen Parodi'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 Stephen Parodi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Parodi more than expected).
Fields of papers citing papers by Stephen Parodi
This network shows the impact of papers produced by Stephen Parodi. 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 Stephen Parodi. The network helps show where Stephen Parodi may publish in the future.
Co-authors
The 23 scholars most cited alongside Stephen Parodi, 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 | 2020 | 306 | |
| 2 | 2020 | 182 | |
| 3 | 2017 | 146 | |
| 4 | 2021 | 124 | |
| 5 | 2003 | 40 | |
| 6 | 2003 | 27 | |
| 7 | 2003 | 26 | |
| 8 | 2020 | 23 | |
| 9 | 2022 | 20 | |
| 10 | 2017 | 16 | |
| 11 | 2002 | 4 | |
| 12 | A 54-year-old man with respiratory distress. | 1999 | 1 |
| 13 | 2021 | 0 |
About Stephen Parodi
Stephen Parodi is a scholar working on Infectious Diseases, Surgery, Critical Care and Intensive Care Medicine, Oncology and Epidemiology, having authored 13 papers that have together received 915 indexed citations. Recurring topics across this work include Enhanced Recovery After Surgery (2 papers), COVID-19 and healthcare impacts (2 papers), Pneumonia and Respiratory Infections (2 papers), Antibiotic Resistance in Bacteria (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Nosocomial Infections in ICU (2 papers), COVID-19 Clinical Research Studies (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Modeling and Simulation (74 citations), Infectious Diseases (263 citations), Applied Microbiology and Biotechnology (22 citations), Critical Care and Intensive Care Medicine (37 citations) and Health (44 citations). Stephen Parodi has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Gabriel J. Escobar, Laura C. Myers, David C. Rhew, Vincent X. Liu, Patricia Kipnis, G. Thomas Ray, Richard Dlott, Charulata Ramaprasad, Catherine Lee and Alyce S. Adams. Their work appears in journals such as JAMA, Clinical Infectious Diseases, Clinical Therapeutics, JAMA Network Open and Annals of Internal 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.