Daniel Gal
Impact in
- Epidemiology top 2%
- Burkholderia infections and melioidosis
- Small Animals top 5%
- Brucella: diagnosis, epidemiology, treatment
Papers in
- Epidemiology 22
- Burkholderia infections and melioidosis 22
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- Chemical Looping and Thermochemical Processes 8
- Co-authors
- Bart J. Currie (22 shared papers)Mark Mayo (21 shared papers)Mindy B. Glass (4 shared papers)Patricia P. Wilkins (4 shared papers)Jay E. Gee (4 shared papers)Ryan T. Novak (4 shared papers)Allen Cheng (5 shared papers)Daniel Godoy (4 shared papers)
- Journals
- Journal of Clinical Microbiology (7 papers)Epidemiology and Infection (3 papers)American Journal of Tropical Medicine and Hygiene (2 papers)BMC Microbiology (2 papers)Microbes and Infection (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Daniel Gal
25 papers receiving 954 citations
Peers
Comparison fields: 5 of 63
- Epidemiology 819
- Small Animals 98
- Endocrinology 39
- Biomedical Engineering 194
- Infectious Diseases 59
Countries citing papers authored by Daniel Gal
This map shows the geographic impact of Daniel Gal'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 Daniel Gal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gal more than expected).
Fields of papers citing papers by Daniel Gal
This network shows the impact of papers produced by Daniel Gal. 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 Daniel Gal. The network helps show where Daniel Gal may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 171 | |
| 2 | 2005 | 77 | |
| 3 | 2001 | 75 | |
| 4 | 2007 | 67 | |
| 5 | 2007 | 65 | |
| 6 | 2006 | 61 | |
| 7 | 2004 | 47 | |
| 8 | 2007 | 43 | |
| 9 | 2007 | 42 | |
| 10 | 2004 | 34 | |
| 11 | 2004 | 34 | |
| 12 | 2007 | 33 | |
| 13 | 2009 | 31 | |
| 14 | 2004 | 27 | |
| 15 | 2006 | 27 | |
| 16 | 2005 | 26 | |
| 17 | 2007 | 25 | |
| 18 | 2008 | 24 | |
| 19 | 2006 | 22 | |
| 20 | 2003 | 21 |
About Daniel Gal
Daniel Gal is a scholar working on Epidemiology, Biomedical Engineering, Small Animals, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 992 indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (22 papers), Chemical Looping and Thermochemical Processes (8 papers), Brucella: diagnosis, epidemiology, treatment (4 papers), Streptococcal Infections and Treatments (2 papers), Neonatal and Maternal Infections (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Plant Pathogenic Bacteria Studies (2 papers) and Jewish and Middle Eastern Studies (1 paper). The work is most often cited by research in Epidemiology (819 citations), Small Animals (98 citations), Endocrinology (39 citations), Biomedical Engineering (194 citations) and Infectious Diseases (59 citations). Daniel Gal has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Bart J. Currie, Mark Mayo, Mindy B. Glass, Patricia P. Wilkins, Jay E. Gee, Ryan T. Novak, Allen Cheng, Daniel Godoy, Brian G. Spratt and Susan P. Jacups. Their work appears in journals such as Journal of Clinical Microbiology, Epidemiology and Infection, American Journal of Tropical Medicine and Hygiene, BMC Microbiology and Microbes and Infection.
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.