D. J. PRATTLEY

457 citations
18 papers · 353 indexed · h-index 11
Topics
Viral gastroenteritis research and epidemiology (9 papers)Salmonella and Campylobacter epidemiology (7 papers)Escherichia coli research studies (7 papers)

In The Last Decade

D. J. PRATTLEY

18 papers receiving 346 citations

Peers

D. J. PRATTLEY
Comparison fields: 5 of 53
  • Infectious Diseases 183
  • Small Animals 86
  • Endocrinology 79
  • Agronomy and Crop Science 72
  • Parasitology 64
Replace Virginia L. Mohler with:
Virginia L. Mohler Australia
Yitagele Terefe Ethiopia
H.E. Ternent United Kingdom
Elizabeth A. Wagstrom United States
Inga Ruddat Germany
Steven van Winden United Kingdom
Rebecca Callaby United Kingdom
Bachal Bhutto Pakistan
A. M. Al-Majali Jordan
René P. Achterberg Netherlands
D. J. PRATTLEY relative to Virginia L. Mohler Australia Virginia L. Mohler's profile →
Citations per field
00.5×1.5×2.3×
Virginia L. Mohler · 1×
Citations per year

Countries citing papers authored by D. J. PRATTLEY

Since Specialization
Citations

This map shows the geographic impact of D. J. PRATTLEY'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. J. PRATTLEY with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. J. PRATTLEY more than expected).

Fields of papers citing papers by D. J. PRATTLEY

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. J. PRATTLEY. 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. J. PRATTLEY. The network helps show where D. J. PRATTLEY may publish in the future.

Co-authorship network of co-authors of D. J. PRATTLEY

This figure shows the co-authorship network connecting the top 25 collaborators of D. J. PRATTLEY. A scholar is included among the top collaborators of D. J. PRATTLEY 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. J. PRATTLEY. D. J. PRATTLEY is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 4
2 2
3 6
4 19
5 7
6 62
7 3
8 14
9 27
10 44
11 10
12 44
13 18
14 8
15 20
16 17
17 30
18 18

About D. J. PRATTLEY

D. J. PRATTLEY is a scholar working on Endocrinology, Parasitology and Infectious Diseases, having authored 18 papers that have together received 353 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (9 papers), Salmonella and Campylobacter epidemiology (7 papers) and Escherichia coli research studies (7 papers). The work is most often cited by research in Endocrinology (79 citations), Small Animals (86 citations) and Infectious Diseases (183 citations). D. J. PRATTLEY has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Nigel French, JR Moffat, ROGER S. MORRIS, Mark A. Stevenson, J. A. Marshall, Adrian L. Cookson, S.C. Hathaway, Donald M. Campbell, J. W. Wilesmith and Robert M. Cannon. Their work appears in journals such as Emerging infectious diseases, Veterinary Parasitology and BMC Infectious Diseases.

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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