D.A. Veal

1.9k total citations
34 papers, 1.5k citations indexed

About

D.A. Veal is a scholar working on Parasitology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, D.A. Veal has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Parasitology, 7 papers in Molecular Biology and 7 papers in Biomedical Engineering. Recurrent topics in D.A. Veal's work include Parasitic Infections and Diagnostics (14 papers), Amoebic Infections and Treatments (5 papers) and Enterobacteriaceae and Cronobacter Research (4 papers). D.A. Veal is often cited by papers focused on Parasitic Infections and Diagnostics (14 papers), Amoebic Infections and Treatments (5 papers) and Enterobacteriaceae and Cronobacter Research (4 papers). D.A. Veal collaborates with scholars based in Australia, United Kingdom and United States. D.A. Veal's 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 and has published in prestigious journals such as Nature, Applied and Environmental Microbiology and Water Research.

In The Last Decade

D.A. Veal

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D.A. Veal Australia 23 432 389 291 257 185 34 1.5k
George J. Flick United States 23 330 0.8× 407 1.0× 208 0.7× 274 1.1× 89 0.5× 82 2.2k
H Lee Canada 16 238 0.6× 545 1.4× 192 0.7× 164 0.6× 262 1.4× 18 1.6k
Véronique Broussolle France 26 190 0.4× 1.3k 3.4× 480 1.6× 193 0.8× 162 0.9× 56 2.1k
Robert E. Levin United States 27 198 0.5× 933 2.4× 274 0.9× 282 1.1× 670 3.6× 172 2.8k
Steven Giglio Australia 16 73 0.2× 417 1.1× 264 0.9× 233 0.9× 81 0.4× 22 1.4k
A K Bej United States 17 83 0.2× 669 1.7× 591 2.0× 200 0.8× 157 0.8× 22 1.7k
Alejandro Sánchez‐Flores Mexico 23 206 0.5× 1.1k 2.9× 401 1.4× 169 0.7× 256 1.4× 92 2.3k
Aurélie Lajus France 21 113 0.3× 1.1k 2.8× 539 1.9× 120 0.5× 487 2.6× 26 2.2k
Gregory A. McDonald United States 20 429 1.0× 299 0.8× 128 0.4× 270 1.1× 638 3.4× 26 1.6k
Jesús Lamas Spain 30 136 0.3× 375 1.0× 499 1.7× 47 0.2× 262 1.4× 96 2.5k

Countries citing papers authored by D.A. Veal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of D.A. Veal

This figure shows the co-authorship network connecting the top 25 collaborators of D.A. Veal. A scholar is included among the top collaborators of D.A. Veal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D.A. Veal. D.A. Veal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wilson, Helen Rose, D.A. Veal, Matthew Whiteman, & John T. Hancock. (2017). Hydrogen gas and its role in cell signalling.. CABI Reviews. 1–3. 14 indexed citations
2.
Veal, D.A., et al.. (2005). Epicocconone, A New Cell-Permeable Long Stokes' Shift Fluorescent Stain for Live Cell Imaging and Multiplexing. Journal of Fluorescence. 16(4). 475–482. 29 indexed citations
3.
Smith, James J., Thusitha S. Gunasekera, Célia Regina Monte Barardi, D.A. Veal, & Graham Vesey. (2004). Determination of Cryptosporidium parvum oocyst viability by fluorescence in situ hybridization using a ribosomal RNA-directed probe. Journal of Applied Microbiology. 96(2). 409–417. 37 indexed citations
4.
Ryder, Maarten H., et al.. (2003). Survival of a lacZY-marked strain of Pseudomonas corrugata following a field release. FEMS Microbiology Ecology. 43(3). 367–374. 8 indexed citations
6.
Jenkins, Mark C., James M. Trout, Jim Higgins, et al.. (2002). Comparison of tests for viable and infectious Cryptosporidium parvum oocysts. Parasitology Research. 89(1). 1–5. 74 indexed citations
7.
Ferrari, Belinda C., et al.. (2002). Application of the novel fluorescent dye Beljian red to the differentiation of Giardia cysts. Journal of Microbiological Methods. 52(1). 133–135. 5 indexed citations
8.
Dorsch, M. & D.A. Veal. (2001). Oligonucleotide probes for specific detection of Giardia lamblia cysts by fluorescent in situ hybridization. Journal of Applied Microbiology. 90(5). 836–842. 33 indexed citations
9.
Attfield, Paul V., et al.. (2000). Use of flow cytometry to monitor cell damage and predict fermentation activity of dried yeasts. Journal of Applied Microbiology. 89(2). 207–214. 56 indexed citations
10.
Vesey, Graham, et al.. (2000). An Immunoglobulin G1 Monoclonal Antibody Highly Specific to the Wall of Cryptosporidium Oocysts. Clinical and Diagnostic Laboratory Immunology. 7(5). 745–750. 29 indexed citations
11.
Davison, A., Michael R. Gillings, Daniel Jardine, et al.. (1999). Sphingomonas paucimobilis BPSI-3 mutant AN2 produces a red catabolite during biphenyl degradation. Journal of Industrial Microbiology & Biotechnology. 23(4-5). 314–319. 4 indexed citations
12.
Yeates, Christine, Michael R. Gillings, A. Davison, Nanda Altavilla, & D.A. Veal. (1998). Methods for microbial DNA extraction from soil for PCR amplification. Biological Procedures Online. 1(1). 40–47. 234 indexed citations
13.
Deere, Daniel, et al.. (1998). Rapid method for fluorescentin situribosomal RNA labelling ofCryptosporidium parvum. Journal of Applied Microbiology. 85(5). 807–818. 33 indexed citations
14.
Vesey, Graham, et al.. (1998). Viable Cryptosporidium parvum oocysts exposed to chlorine or other oxidising conditions may lack identifying epitopes. International Journal for Parasitology. 28(8). 1205–1212. 27 indexed citations
15.
Deere, Daniel, et al.. (1998). Evaluation of fluorochromes for flow cytometric detection of Cryptosporidium parvum oocysts labelled by fluorescent in situ hybridization. Letters in Applied Microbiology. 27(6). 352–356. 13 indexed citations
16.
Vesey, Graham, et al.. (1997). Simple and rapid measurement of Cryptosporidium excystation using flow cytometry. International Journal for Parasitology. 27(11). 1353–1359. 31 indexed citations
17.
Vesey, Graham, et al.. (1997). A simple method for evaluating Cryptosporidium-specific antibodies used in monitoring environmental water samples. Letters in Applied Microbiology. 25(5). 316–320. 19 indexed citations
18.
Beattie, Andrew J., et al.. (1995). Antimicrobial mode of action of secretions from the metapleural gland ofMytmecia gulosa(Australian bull ant). Canadian Journal of Microbiology. 41(2). 136–144. 36 indexed citations
19.
Chand, Satish, et al.. (1994). Rapid screening of the antimicrobial activity of extracts and natural products.. The Journal of Antibiotics. 47(11). 1295–1304. 91 indexed citations
20.
Veal, D.A., et al.. (1992). Antimicrobial properties of secretions from the metapleural glands of Myrmecia gulosa (the Australian bull ant). Journal of Applied Bacteriology. 72(3). 188–194. 59 indexed citations

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.

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