D.A. Veal
Impact in
- Parasitology top 1%
- Parasitic Infections and Diagnostics
- Endocrinology top 5%
Papers in
- Parasitology 16
- Parasitic Infections and Diagnostics 16
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- Microfluidic and Bio-sensing Technologies 2
- Co-authors
- Daniel Deere (9 shared papers)A. Davison (4 shared papers)Michael R. Gillings (4 shared papers)Nanda Altavilla (3 shared papers)Christine Yeates (2 shared papers)Graham Vesey (12 shared papers)M. Dorsch (5 shared papers)Paul V. Attfield (4 shared papers)
- Journals
- Journal of Applied Microbiology (7 papers)Letters in Applied Microbiology (4 papers)Cytometry (3 papers)International Journal for Parasitology (2 papers)Canadian Journal of Microbiology (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
D.A. Veal
38 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 113
- Parasitology 467
- Endocrinology 119
- Infectious Diseases 252
- Ecology 302
- Biotechnology 96
Countries citing papers authored by D.A. Veal
This map shows the geographic impact of D.A. Veal'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. Veal 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. Veal more than expected).
Fields of papers citing papers by D.A. Veal
This network shows the impact of papers produced by D.A. Veal. 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. Veal. The network helps show where D.A. Veal may publish in the future.
Co-authors
The 25 scholars most cited alongside D.A. Veal, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 243 | |
| 2 | 2000 | 206 | |
| 3 | 1998 | 101 | |
| 4 | 1994 | 94 | |
| 5 | 1997 | 91 | |
| 6 | 2002 | 79 | |
| 7 | 2003 | 74 | |
| 8 | 2000 | 64 | |
| 9 | 1992 | 61 | |
| 10 | 1998 | 47 | |
| 11 | 1984 | 46 | |
| 12 | 2004 | 44 | |
| 13 | 2003 | 42 | |
| 14 | 1995 | 36 | |
| 15 | 1998 | 36 | |
| 16 | 1998 | 36 | |
| 17 | 2001 | 35 | |
| 18 | 1999 | 33 | |
| 19 | 1997 | 31 | |
| 20 | 2005 | 30 |
About D.A. Veal
D.A. Veal is a scholar working on Parasitology, Biomedical Engineering, Molecular Biology, Infectious Diseases and Plant Science, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (16 papers), Amoebic Infections and Treatments (5 papers), Plant-Microbe Interactions and Immunity (3 papers), Microbial Community Ecology and Physiology (3 papers), Enterobacteriaceae and Cronobacter Research (3 papers), Fungal and yeast genetics research (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Parasitology (467 citations), Endocrinology (119 citations), Infectious Diseases (252 citations), Ecology (302 citations) and Biotechnology (96 citations). D.A. Veal has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Daniel Deere, A. Davison, Michael R. Gillings, Nanda Altavilla, Christine Yeates, Graham Vesey, M. Dorsch, Paul V. Attfield, Belinda C. Ferrari and James A. Piper. Their work appears in journals such as Journal of Applied Microbiology, Letters in Applied Microbiology, Cytometry, International Journal for Parasitology and Canadian Journal of 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.