Pablo Gabriel
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Infections and bacterial resistance
Papers in
-
- Infections and bacterial resistance 3
- Co-authors
- Lisa SaimanYunhua ChenJuyan ZhouSetareh TabibiPhyllis Della‐LattaJoann SchulteCharles KnirschJanet Haas
- Journals
- The Pediatric Infectious Disease Journal (4 papers)Antimicrobial Agents and Chemotherapy (3 papers)PEDIATRICS (3 papers)Infection Control and Hospital Epidemiology (2 papers)Public Health Reports (2 papers)
- Partner nations
- United StatesBelgiumSouth Korea
In The Last Decade
Pablo Gabriel
19 papers receiving 797 citations
Peers
Comparison fields: 5 of 86
- Molecular Medicine 166
- Endocrinology 162
- Applied Microbiology and Biotechnology 45
- Microbiology 107
- Critical Care and Intensive Care Medicine 82
Countries citing papers authored by Pablo Gabriel
This map shows the geographic impact of Pablo Gabriel'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 Pablo Gabriel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Gabriel more than expected).
Fields of papers citing papers by Pablo Gabriel
This network shows the impact of papers produced by Pablo Gabriel. 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 Pablo Gabriel. The network helps show where Pablo Gabriel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pablo Gabriel, 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 | Optimal Inspection and Maintenance Planning for Deteriorating Structures via Markov Decision Processes and Deep Reinforcement Learning. Application to Offshore Wind Substructures. | 2021 | 2 |
| 2 | 2004 | 125 | |
| 3 | 2004 | 26 | |
| 4 | 2004 | 55 | |
| 5 | 2003 | 1 | |
| 6 | 2003 | 15 | |
| 7 | 2003 | 8 | |
| 8 | 2003 | 76 | |
| 9 | 2002 | 80 | |
| 10 | 2002 | 33 | |
| 11 | 2001 | 12 | |
| 12 | 2001 | 97 | |
| 13 | 2001 | 103 | |
| 14 | 2001 | 54 | |
| 15 | 2001 | 92 | |
| 16 | 2000 | 9 | |
| 17 | 1999 | 47 | |
| 18 | 1999 | 6 | |
| 19 | 1992 | 12 |
About Pablo Gabriel
Pablo Gabriel is a scholar working on Endocrinology, Applied Microbiology and Biotechnology, Infectious Diseases, Molecular Medicine and Critical Care and Intensive Care Medicine, having authored 19 papers that have together received 853 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Pneumonia and Respiratory Infections (5 papers), Bacterial biofilms and quorum sensing (4 papers), Infections and bacterial resistance (3 papers), Cystic Fibrosis Research Advances (3 papers), Emergency and Acute Care Studies (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Nosocomial Infections in ICU (2 papers). The work is most often cited by research in Molecular Medicine (166 citations), Endocrinology (162 citations), Applied Microbiology and Biotechnology (45 citations), Microbiology (107 citations) and Critical Care and Intensive Care Medicine (82 citations). Pablo Gabriel has collaborated with scholars based in United States, Belgium and South Korea. Frequent co-authors include Lisa Saiman, Yunhua Chen, Juyan Zhou, Setareh Tabibi, Phyllis Della‐Latta, Joann Schulte, Charles Knirsch, Janet Haas, Susan Whittier and Jane Aronson. Their work appears in journals such as The Pediatric Infectious Disease Journal, Antimicrobial Agents and Chemotherapy, PEDIATRICS, Infection Control and Hospital Epidemiology and Public Health Reports.
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.