P.R. Wood

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

P.R. Wood

85 papers receiving 2.6k citations

Peers

P.R. Wood
Comparison fields: 5 of 137
  • Microbiology 470
  • Infectious Diseases 1.1k
  • Small Animals 360
  • Parasitology 222
  • Epidemiology 1.1k
Replace David G. Pritchard with:
David G. Pritchard United States
Xiaokui Guo China
Ian R. Poxton United Kingdom
Andreas Sauerbrei Germany
Thomas J. Divers United States
Åsa Ljungh Sweden
Nancy L. Wengenack United States
J. J. Bullen Tanzania
D. E. Bidwell United Kingdom
Giovanni Delogu Italy
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-authorship network

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
#Work
1 20144
2
Data sources of the New Zealand landslide database
20033
3
Chronic infection with vaccine-derived neurovirulent poliovirus in common variable immunodeficiency and implications for world health
20012
4 200011
5 200021
6 199723
7 19953
8 199538
9 199431
10 199450
11 199318
12 19931
13 1992130
14 199212
15 19917
16 199037
17 19906
18 199017
19 198821
20
Removing potential organic carcinogens and precursors from drinking water
19805

About P.R. Wood

P.R. Wood is a scholar working on Microbiology, Small Animals, Endocrinology, Immunology and Agronomy and Crop Science, 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), Tuberculosis Research and Epidemiology (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Immune Response and Inflammation (10 papers), T-cell and B-cell Immunology (8 papers), Animal Disease Management and Epidemiology (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). The work is most often cited by research in Microbiology (470 citations), Infectious Diseases (1.1k citations), Small Animals (360 citations), Parasitology (222 citations) and Epidemiology (1.1k 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, Frances Z. Parsons, Anthony J. Radford and Randolph H. Hastings. Their work appears in journals such as Veterinary Immunology and Immunopathology, Parasite Immunology, Vaccine, Veterinary Microbiology and Immunology and Cell Biology.

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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