H. Gaya
Impact in
- Clinical Biochemistry top 0.2%
- Bacterial Identification and Susceptibility Testing
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Bacterial Identification and Susceptibility Testing 17
-
- Antibiotic Resistance in Bacteria 11
- Co-authors
- Jean KlášterskýM. P. GlauserClaudio ViscoliStephen H. ZinnerThierry CalandraTattersall MhZinner ShM Paesmans
- Journals
- The Lancet (10 papers)Journal of Hospital Infection (5 papers)Antimicrobial Agents and Chemotherapy (5 papers)Thorax (5 papers)Journal of Antimicrobial Chemotherapy (4 papers)
- Partner nations
- United KingdomBelgiumSwitzerland
In The Last Decade
H. Gaya
69 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Clinical Biochemistry 1.1k
- Molecular Medicine 345
- Oncology 1.6k
- Emergency Medicine 434
- Pharmacology 527
Countries citing papers authored by H. Gaya
This map shows the geographic impact of H. Gaya'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 H. Gaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Gaya more than expected).
Fields of papers citing papers by H. Gaya
This network shows the impact of papers produced by H. Gaya. 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 H. Gaya. The network helps show where H. Gaya may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Gaya, 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 | 2003 | 108 | |
| 2 | 1998 | 2 | |
| 3 | 1998 | 53 | |
| 4 | 1997 | 219 | |
| 5 | 1996 | 39 | |
| 6 | 1996 | 203 | |
| 7 | 1995 | 17 | |
| 8 | 1994 | 89 | |
| 9 | 1993 | 1 | |
| 10 | 1993 | 36 | |
| 11 | 1992 | 49 | |
| 12 | 1990 | 26 | |
| 13 | 1990 | 45 | |
| 14 | 1989 | 72 | |
| 15 | 1986 | 2 | |
| 16 | Second International Symposium on Infections in the Immunocompromised Host | 1983 | 4 |
| 17 | Three antibiotic regimens in the treatment of infection in febrile granulocytopenic patients with cancer. The EORTC international antimicrobial therapy project group. Hit paper breakdown → | 1978 | 351 |
| 18 | 1973 | 16 | |
| 19 | 1973 | 13 | |
| 20 | 1970 | 32 |
About H. Gaya
H. Gaya is a scholar working on Clinical Biochemistry, Molecular Medicine, Endocrinology, Microbiology and Emergency Medicine, having authored 70 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (22 papers), Bacterial Identification and Susceptibility Testing (17 papers), Mycobacterium research and diagnosis (11 papers), Antibiotic Resistance in Bacteria (11 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers), Hematological disorders and diagnostics (7 papers), Cystic Fibrosis Research Advances (7 papers) and Medical Device Sterilization and Disinfection (5 papers). The work is most often cited by research in Clinical Biochemistry (1.1k citations), Molecular Medicine (345 citations), Oncology (1.6k citations), Emergency Medicine (434 citations) and Pharmacology (527 citations). H. Gaya has collaborated with scholars based in United Kingdom, Belgium and Switzerland. Frequent co-authors include Jean Klášterský, M. P. Glauser, Claudio Viscoli, Stephen H. Zinner, Thierry Calandra, Tattersall Mh, Zinner Sh, M Paesmans, Ian Hann and Jean Lumley. Their work appears in journals such as The Lancet, Journal of Hospital Infection, Antimicrobial Agents and Chemotherapy, Thorax and Journal of Antimicrobial 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.