G. Feierl
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 7
- Pollution top 2%
- Pharmaceutical and Antibiotic Environmental Impacts 3
- Microbiology top 5%
- Endocrinology top 5%
-
- Salmonella and Campylobacter epidemiology 6
-
- Viral gastroenteritis research and epidemiology 4
- Antimicrobial Resistance in Staphylococcus 3
-
- Bacterial Identification and Susceptibility Testing 3
-
- Liver Disease and Transplantation 3
-
- Antibiotics Pharmacokinetics and Efficacy 3
G. Feierl
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Molecular Medicine 385
- Pollution 415
- Applied Microbiology and Biotechnology 73
- Microbiology 23
- Endocrinology 149
Countries citing papers authored by G. Feierl
This map shows the geographic impact of G. Feierl'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 G. Feierl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Feierl more than expected).
Fields of papers citing papers by G. Feierl
This network shows the impact of papers produced by G. Feierl. 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 G. Feierl. The network helps show where G. Feierl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. Feierl, 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 | 2015 | 11 | |
| 2 | 2013 | 62 | |
| 3 | 2013 | 8 | |
| 4 | 2012 | 19 | |
| 5 | 2012 | 44 | |
| 6 | 2010 | 6 | |
| 7 | 2009 | 63 | |
| 8 | 2008 | 56 | |
| 9 | 2006 | 22 | |
| 10 | 2005 | 13 | |
| 11 | 2004 | 14 | |
| 12 | 2003 | 34 | |
| 13 | 2003 | 426 | |
| 14 | 2002 | 18 | |
| 15 | 2002 | 153 | |
| 16 | 2000 | 38 | |
| 17 | In vitro activity of newer broad spectrum beta-lactam antibiotics against enterobacteriaceae and non-fermenters: a report from Austrian intensive care units. Austrian Carbapenem Susceptibility Surveillance Group. | 1999 | 5 |
| 18 | 1999 | 30 | |
| 19 | 1996 | 4 | |
| 20 | 1996 | 30 |
About G. Feierl
G. Feierl is a scholar working on Molecular Medicine, Microbiology, Endocrinology, Applied Microbiology and Biotechnology and Microbiology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Salmonella and Campylobacter epidemiology (6 papers), Viral gastroenteritis research and epidemiology (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Liver Disease and Transplantation (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). The work is most often cited by research in Molecular Medicine (385 citations), Pollution (415 citations), Applied Microbiology and Biotechnology (73 citations), Microbiology (23 citations) and Endocrinology (149 citations). G. Feierl has collaborated with scholars based in Austria, Germany and Sweden. Frequent co-authors include Egon Marth, Doris Haas, Franz F. Reinthaler, Josefa Posch, F Mascher, Gilda Wüst, Andrea Grisold, Gernot Zarfel, Michael E. Höllwarth and Martin Hoenigl. Their work appears in journals such as Epidemiology and Infection, Clinical Microbiology and Infection, International Journal of Antimicrobial Agents, Infection and Pediatric Surgery International.
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.