D. Chasey

1.6k citations
52 papers · 1.4k · h-index 24

Impact in

Papers in

D. Chasey

52 papers receiving 1.2k citations

Peers

D. Chasey
Comparison fields: 5 of 81
  • Animal Science and Zoology 643
  • Infectious Diseases 899
  • Agronomy and Crop Science 221
  • Genetics 341
  • Parasitology 57
Replace R.M. McCracken with:
R.M. McCracken United Kingdom
W. L. Curran United Kingdom
Joana Abrantes Portugal
Jean-François Vautherot France
Hermann Müller Germany
I. D. Marshall Australia
Robin Levis United States
O.‐R. Kaaden Germany
Ludwig Haas Germany
A. M. Fadly United States
D. Chasey relative to R.M. McCracken United Kingdom R.M. McCracken's profile →
Citations per field
00.5×1.6×
R.M. McCracken · 1×
Citations per year

Countries citing papers authored by D. Chasey

Since Specialization
Citations

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

Fields of papers citing papers by D. Chasey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Chasey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Chasey Line = papers co-authored together D. Chasey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978149
2 1986129
3 199054
4 199746
5 198446
6
European brown hare syndrome and associated virus particles in the UK.
199045
7 199241
8 197640
9 199240
10 199439
11 198438
12 199536
13 198636
14 198835
15 196931
16 199731
17 198431
18 199630
19 197230
20 197729

About D. Chasey

D. Chasey is a scholar working on Infectious Diseases, Animal Science and Zoology, Genetics, Epidemiology and Immunology, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (28 papers), Animal Virus Infections Studies (20 papers), Virus-based gene therapy research (15 papers), T-cell and Retrovirus Studies (6 papers), Animal Disease Management and Epidemiology (6 papers), Protist diversity and phylogeny (5 papers), Vector-Borne Animal Diseases (4 papers) and Viral Infections and Vectors (4 papers). The work is most often cited by research in Animal Science and Zoology (643 citations), Infectious Diseases (899 citations), Agronomy and Crop Science (221 citations), Genetics (341 citations) and Parasitology (57 citations). D. Chasey has collaborated with scholars based in United Arab Emirates, United Kingdom and United States. Frequent co-authors include Sheila F. Cartwright, J. C. Bridger, Malcolm A. McCrae, Jill Banks, S. Pedley, Paul B. Duff, R. Trout, D. J. Alexander, Peter J. Davies and C.J. Thorns. Their work appears in journals such as Veterinary Record, Journal of General Virology, Research in Veterinary Science, Experimental Cell Research and Archives of Virology.

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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