Angelo DePaola
Impact in
- Endocrinology top 0.01%
- Vibrio bacteria research studies
- Immunology top 0.2%
- Aquaculture disease management and microbiota
Papers in
-
- Vibrio bacteria research studies 98
- Immunology 87
- Aquaculture disease management and microbiota 87
- Co-authors
- John C. BowersJessica L. NordstromDavid W. CookCharles A. KaysnerGeorge M. BlackstoneMiles L. MotesR M McPhearsonMichael C.L. Vickery
- Journals
- Applied and Environmental Microbiology (34 papers)Journal of Food Protection (20 papers)Journal of Microbiological Methods (8 papers)Journal of Clinical Microbiology (5 papers)International Journal of Food Microbiology (4 papers)
- Partner nations
- United StatesThailandJapan
In The Last Decade
Angelo DePaola
116 papers receiving 7.0k citations
Peers
Comparison fields: 5 of 120
- Endocrinology 5.7k
- Immunology 4.5k
- Food Science 2.7k
- Molecular Medicine 302
- Nutrition and Dietetics 609
Countries citing papers authored by Angelo DePaola
This map shows the geographic impact of Angelo DePaola'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 Angelo DePaola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo DePaola more than expected).
Fields of papers citing papers by Angelo DePaola
This network shows the impact of papers produced by Angelo DePaola. 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 Angelo DePaola. The network helps show where Angelo DePaola may publish in the future.
Co-authors
The 25 scholars most cited alongside Angelo DePaola, 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 | 2023 | 12 | |
| 2 | 2023 | 8 | |
| 3 | 2020 | 12 | |
| 4 | Managing Vibrio Risk in Oysters | 2019 | 3 |
| 5 | 2018 | 19 | |
| 6 | 2017 | 129 | |
| 7 | 2014 | 69 | |
| 8 | 2013 | 16 | |
| 9 | 2011 | 36 | |
| 10 | 2011 | 52 | |
| 11 | 2009 | 13 | |
| 12 | 2009 | 21 | |
| 13 | 2009 | 23 | |
| 14 | 2008 | 167 | |
| 15 | 2007 | 12 | |
| 16 | 2007 | 29 | |
| 17 | 2006 | 14 | |
| 18 | 2003 | 21 | |
| 19 | 2001 | 6 | |
| 20 | 2000 | 11 |
About Angelo DePaola
Angelo DePaola is a scholar working on Endocrinology, Immunology, Food Science, Molecular Medicine and Pollution, having authored 116 papers that have together received 7.3k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (98 papers), Aquaculture disease management and microbiota (87 papers), Salmonella and Campylobacter epidemiology (49 papers), Identification and Quantification in Food (17 papers), Bacteriophages and microbial interactions (12 papers), Fecal contamination and water quality (10 papers), Pharmaceutical and Antibiotic Environmental Impacts (9 papers) and Child Nutrition and Water Access (8 papers). The work is most often cited by research in Endocrinology (5.7k citations), Immunology (4.5k citations), Food Science (2.7k citations), Molecular Medicine (302 citations) and Nutrition and Dietetics (609 citations). Angelo DePaola has collaborated with scholars based in United States, Thailand and Japan. Frequent co-authors include John C. Bowers, Jessica L. Nordstrom, David W. Cook, Charles A. Kaysner, George M. Blackstone, Miles L. Motes, R M McPhearson, Michael C.L. Vickery, Jaime Martínez-Urtaza and Jessica Jones. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Food Protection, Journal of Microbiological Methods, Journal of Clinical Microbiology and International Journal of Food Microbiology.
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.