Robert J. Gallo
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Clinical Reasoning and Diagnostic Skills
Papers in
-
- Sepsis Diagnosis and Treatment 2
- Co-authors
- Jonathan H. Chen (6 shared papers)Arnold Milstein (2 shared papers)Ethan Goh (3 shared papers)Eric Strong (1 shared paper)Thomas Savage (2 shared papers)Andrew S. Parsons (1 shared paper)Andrew Olson (1 shared paper)Hannah Kerman (2 shared papers)
- Journals
- npj Digital Medicine (2 papers)Diabetes Care (2 papers)Journal of the American Medical Informatics Association (2 papers)Nature Medicine (1 paper)Journal of General Internal Medicine (1 paper)
- Partner nations
- United StatesIndiaTunisia
In The Last Decade
Robert J. Gallo
10 papers receiving 132 citations
Robert J. Gallo's Hit Papers
Peers
Comparison fields: 5 of 36
- Health Informatics 39
- Family Practice 8
- Health Information Management 7
- Issues, ethics and legal aspects 1
- Artificial Intelligence 18
Countries citing papers authored by Robert J. Gallo
This map shows the geographic impact of Robert J. Gallo'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 Robert J. Gallo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. Gallo more than expected).
Fields of papers citing papers by Robert J. Gallo
This network shows the impact of papers produced by Robert J. Gallo. 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 Robert J. Gallo. The network helps show where Robert J. Gallo may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert J. Gallo, 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 | GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial Hit paper breakdown → | 2025 | 57 |
| 2 | 2024 | 21 | |
| 3 | 2025 | 19 | |
| 4 | 2024 | 17 | |
| 5 | 2025 | 10 | |
| 6 | 2023 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 0 |
About Robert J. Gallo
Robert J. Gallo is a scholar working on Epidemiology, Artificial Intelligence, Molecular Biology, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 11 papers that have together received 133 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Diabetes Management and Research (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Biomedical Text Mining and Ontologies (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Diabetes and associated disorders (1 paper) and Clinical Reasoning and Diagnostic Skills (1 paper). The work is most often cited by research in Health Informatics (39 citations), Family Practice (8 citations), Health Information Management (7 citations), Issues, ethics and legal aspects (1 citation) and Artificial Intelligence (18 citations). Robert J. Gallo has collaborated with scholars based in United States, India and Tunisia. Frequent co-authors include Jonathan H. Chen, Arnold Milstein, Ethan Goh, Eric Strong, Thomas Savage, Andrew S. Parsons, Andrew Olson, Hannah Kerman, Adam Rodman and Eric Horvitz. Their work appears in journals such as npj Digital Medicine, Diabetes Care, Journal of the American Medical Informatics Association, Nature Medicine and Journal of General 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.