P.R. Wood

3.5k citations
90 papers · 2.8k · h-index 31

Impact in

Papers in

    • Immune Response and Inflammation 10
    • T-cell and B-cell Immunology 8
    • Immunotherapy and Immune Responses 6

P.R. Wood

85 papers receiving 2.6k citations

Peers

P.R. Wood
Comparison fields: 5 of 136
  • Microbiology 448
  • Infectious Diseases 1.1k
  • Small Animals 351
  • Epidemiology 1.0k
  • Parasitology 213
Replace David G. Pritchard with:
David G. Pritchard United States
A. Baskerville United Kingdom
Kerstin Müller Germany
Thomas J. Divers United States
Åsa Ljungh Sweden
D. E. Bidwell United Kingdom
Ian R. Poxton United Kingdom
Xiaokui Guo China
Udo Reischl Germany
Mark J. Newman United States
P.R. Wood relative to David G. Pritchard United States David G. Pritchard's profile →
Citations per field
00.5×1.5×
David G. Pritchard · 1×
Citations per year

Countries citing papers authored by P.R. Wood

Since Specialization
Citations

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

Fields of papers citing papers by P.R. Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.R. Wood. 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 P.R. Wood. The network helps show where P.R. Wood may publish in the future.

Co-authors

The 25 scholars most cited alongside P.R. Wood, 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 P.R. Wood Line = papers co-authored together P.R. Wood links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001156
2
Development of a simple, rapid in vitro cellular assay for bovine tuberculosis based on the production of gamma interferon.
1990152
3 1984151
4 1992130
5 1990129
6 1994109
7 199198
8 198697
9 199480
10 197763
11 200162
12 199461
13 199258
14 199450
15 199749
16 199048
17 197347
18 199047
19 200544
20 199943

About P.R. Wood

P.R. Wood is a scholar working on Immunology, Molecular Biology, Microbiology, Infectious Diseases and Epidemiology, having authored 90 papers that have together received 2.8k indexed citations. Recurring topics across this work include Microbial infections and disease research (13 papers), Mycobacterium research and diagnosis (12 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Immune Response and Inflammation (10 papers), Tuberculosis Research and Epidemiology (10 papers), T-cell and B-cell Immunology (8 papers), Animal Disease Management and Epidemiology (8 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Microbiology (448 citations), Infectious Diseases (1.1k citations), Small Animals (351 citations), Epidemiology (1.0k citations) and Parasitology (213 citations). P.R. Wood has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include J.S. Rothel, L.A. Corner, P. Plackett, Stephen L. Jones, Heng Fong Seow, Theodora Fifis, Jack DeMarco, Anthony J. Radford, Frances Z. Parsons and Randolph H. Hastings. Their work appears in journals such as Veterinary Immunology and Immunopathology, Parasite Immunology, Immunology and Cell Biology, Veterinary Microbiology and Vaccine.

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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