Daniel Gal
Impact in
- Epidemiology top 5%
- Burkholderia infections and melioidosis
- Small Animals top 5%
- Brucella: diagnosis, epidemiology, treatment
Papers in ⓘ
- Epidemiology 22
- Burkholderia infections and melioidosis 22
-
- Brucella: diagnosis, epidemiology, treatment 4
- Co-authors
- Mark Mayo (21 shared papers)Bart J. Currie (21 shared papers)Patricia P. Wilkins (4 shared papers)Jay E. Gee (4 shared papers)Mindy B. Glass (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 KingdomUnited States
In The Last Decade
Daniel Gal
25 papers receiving 900 citations
Peers
Comparison fields: 5 of 72
- Epidemiology 778
- Small Animals 112
- Endocrinology 31
- Biomedical Engineering 239
- Infectious Diseases 64
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 | 162 | |
| 2 | 2005 | 75 | |
| 3 | 2001 | 72 | |
| 4 | 2007 | 60 | |
| 5 | 2007 | 59 | |
| 6 | 2006 | 56 | |
| 7 | 2004 | 45 | |
| 8 | 2007 | 40 | |
| 9 | 2007 | 38 | |
| 10 | 2004 | 32 | |
| 11 | 2007 | 32 | |
| 12 | 2004 | 32 | |
| 13 | 2009 | 28 | |
| 14 | 2004 | 26 | |
| 15 | 2006 | 25 | |
| 16 | 2005 | 24 | |
| 17 | 2008 | 23 | |
| 18 | 2007 | 23 | |
| 19 | 2003 | 21 | |
| 20 | 2006 | 20 |
About Daniel Gal
Daniel Gal is a scholar working on Epidemiology, Small Animals, Biomedical Engineering, Infectious Diseases and Law, having authored 26 papers that have together received 929 indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (22 papers), Chemical Looping and Thermochemical Processes (10 papers), Brucella: diagnosis, epidemiology, treatment (4 papers), Plant Pathogenic Bacteria Studies (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Neonatal and Maternal Infections (2 papers), Streptococcal Infections and Treatments (2 papers) and Legal principles and applications (1 paper). The work is most often cited by research in Epidemiology (778 citations), Small Animals (112 citations), Endocrinology (31 citations), Biomedical Engineering (239 citations) and Infectious Diseases (64 citations). Daniel Gal has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Mark Mayo, Bart J. Currie, Patricia P. Wilkins, Jay E. Gee, Mindy B. Glass, Ryan T. Novak, Allen Cheng, Daniel Godoy, Susan P. Jacups and Brian G. Spratt. 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.