D.A. Cronin
Impact in
- Biotechnology top 0.05%
- Microbial Inactivation Methods
- Listeria monocytogenes in Food Safety
- Animal Science and Zoology top 0.2%
- Meat and Animal Product Quality
Papers in
-
- Microbial Inactivation Methods 42
- Listeria monocytogenes in Food Safety 24
- Food Science 40
- Food Drying and Modeling 20
- Co-authors
- James G. Lyng (51 shared papers)D.J. Morgan (46 shared papers)F. Noci (28 shared papers)Joerg Riener (10 shared papers)Paul Whyte (15 shared papers)Markus Walkling‐Ribeiro (8 shared papers)Markus Zell (9 shared papers)Nigel P. Brunton (7 shared papers)
- Journals
- Meat Science (10 papers)Food Chemistry (10 papers)Journal of Chromatography A (8 papers)Food and Bioprocess Technology (6 papers)Journal of the Science of Food and Agriculture (5 papers)
- Partner nations
- IrelandUnited KingdomItaly
In The Last Decade
D.A. Cronin
88 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 120
- Biotechnology 2.2k
- Animal Science and Zoology 1.1k
- Food Science 1.9k
- Biochemistry 382
- Physiology 242
Countries citing papers authored by D.A. Cronin
This map shows the geographic impact of D.A. Cronin'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 D.A. Cronin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.A. Cronin more than expected).
Fields of papers citing papers by D.A. Cronin
This network shows the impact of papers produced by D.A. Cronin. 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 D.A. Cronin. The network helps show where D.A. Cronin may publish in the future.
Co-authors
The 25 scholars most cited alongside D.A. Cronin, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 202 | |
| 2 | 2010 | 145 | |
| 3 | 2010 | 137 | |
| 4 | 2008 | 124 | |
| 5 | 2008 | 99 | |
| 6 | 2009 | 95 | |
| 7 | 2008 | 90 | |
| 8 | 2008 | 90 | |
| 9 | 2010 | 89 | |
| 10 | 2008 | 88 | |
| 11 | 2012 | 87 | |
| 12 | 2011 | 82 | |
| 13 | 1974 | 79 | |
| 14 | 2011 | 79 | |
| 15 | 2008 | 77 | |
| 16 | 2001 | 76 | |
| 17 | 2008 | 75 | |
| 18 | 2009 | 75 | |
| 19 | 1971 | 74 | |
| 20 | 2009 | 74 |
About D.A. Cronin
D.A. Cronin is a scholar working on Biotechnology, Food Science, Animal Science and Zoology, Biomedical Engineering and Nutrition and Dietetics, having authored 89 papers that have together received 3.8k indexed citations. Recurring topics across this work include Microbial Inactivation Methods (42 papers), Meat and Animal Product Quality (29 papers), Listeria monocytogenes in Food Safety (24 papers), Food Drying and Modeling (20 papers), Advanced Chemical Sensor Technologies (18 papers), Analytical Chemistry and Chromatography (10 papers), Postharvest Quality and Shelf Life Management (6 papers) and Biochemical Analysis and Sensing Techniques (6 papers). The work is most often cited by research in Biotechnology (2.2k citations), Animal Science and Zoology (1.1k citations), Food Science (1.9k citations), Biochemistry (382 citations) and Physiology (242 citations). D.A. Cronin has collaborated with scholars based in Ireland, United Kingdom and Italy. Frequent co-authors include James G. Lyng, D.J. Morgan, F. Noci, Joerg Riener, Paul Whyte, Markus Walkling‐Ribeiro, Markus Zell, Nigel P. Brunton, A. Muñoz and I. Palgan. Their work appears in journals such as Meat Science, Food Chemistry, Journal of Chromatography A, Food and Bioprocess Technology and Journal of the Science of Food and Agriculture.
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.