P. Plackett

1.3k citations
35 papers · 1.2k · h-index 21

Impact in

  • Microbiology top 0.5%
    • Microbial infections and disease research
    • Brucella: diagnosis, epidemiology, treatment

Papers in

P. Plackett

35 papers receiving 1.0k citations

Peers

P. Plackett
Comparison fields: 5 of 71
  • Microbiology 477
  • Small Animals 225
  • Infectious Diseases 360
  • Parasitology 123
  • Epidemiology 473
Replace Ruth M. Lemcke with:
Ruth M. Lemcke United Kingdom
Yasuyuki Mori Japan
Ken‐ichi Amano Japan
David T. Berman United States
Núbia Seyffert Brazil
Robert Gramzinski United States
Masanobu Kimura Japan
Fred M. Tatum United States
J. B. Wilson United States
A R Schuitema Netherlands
P. Plackett relative to Ruth M. Lemcke United Kingdom Ruth M. Lemcke's profile →
Citations per field
00.5×9.5×
Ruth M. Lemcke · 1×
Citations per year

Countries citing papers authored by P. Plackett

Since Specialization
Citations

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

Fields of papers citing papers by P. Plackett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside P. Plackett, 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. Plackett Line = papers co-authored together P. Plackett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Development of a simple, rapid in vitro cellular assay for bovine tuberculosis based on the production of gamma interferon.
1990152
2 1990132
3 196991
4 198985
5 197654
6 197049
7 196747
8 196445
9 196042
10 198941
11 198838
12 198835
13 197534
14 197330
15 198028
16 195827
17 196327
18 196725
19 196725
20 197021

About P. Plackett

P. Plackett is a scholar working on Microbiology, Small Animals, Epidemiology, Molecular Biology and Ecology, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microbial infections and disease research (18 papers), Brucella: diagnosis, epidemiology, treatment (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Bacteriophages and microbial interactions (7 papers), Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (4 papers), Pneumonia and Respiratory Infections (3 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Microbiology (477 citations), Small Animals (225 citations), Infectious Diseases (360 citations), Parasitology (123 citations) and Epidemiology (473 citations). P. Plackett has collaborated with scholars based in Australia, Pakistan and United States. Frequent co-authors include L.A. Corner, P.R. Wood, S.H. Buttery, Ruth M. Lemcke, G.G. Alton, G. S. Cottew, W R Mayberry, Paul F. Smith, Susan J. Best and Anthony J. Radford. Their work appears in journals such as Australian Veterinary Journal, Journal of Bacteriology, Immunology and Cell Biology, Annals of the New York Academy of Sciences and Nature.

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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