Janet E. Plant

993 citations
13 papers · 828 · h-index 8

Impact in

    • Escherichia coli research studies
    • Viral gastroenteritis research and epidemiology
    • Tuberculosis Research and Epidemiology

Papers in

    • Salmonella and Campylobacter epidemiology 5
    • Viral gastroenteritis research and epidemiology 3
    • Tuberculosis Research and Epidemiology 1

Janet E. Plant

13 papers receiving 671 citations

Peers

Janet E. Plant
Comparison fields: 5 of 75
  • Endocrinology 106
  • Infectious Diseases 254
  • Food Science 216
  • Immunology 228
  • Parasitology 50
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Citations per year

Countries citing papers authored by Janet E. Plant

Since Specialization
Citations

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

Fields of papers citing papers by Janet E. Plant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet E. Plant. 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 Janet E. Plant. The network helps show where Janet E. Plant may publish in the future.

Co-authors

The 12 scholars most cited alongside Janet E. Plant, 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 Janet E. Plant Line = papers co-authored together Janet E. Plant links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1976280
2
Locating salmonella resistance gene on mouse chromosome 1.
1979132
3 1974129
4 1971124
5
Inbred mouse strain resistance to Mycobacterium lepraemurium follows the Ity/Lsh pattern.
198285
6 197829
7
Genetic control of resistance to Salmonella typhimurium infection in high and low antibody responder mice.
198217
8 198315
9 19835
10
Early haemopoietic responses to Salmonella typhimurium infection in resistant and susceptible mice.
19825
11 19803
12 20252
13 19862

About Janet E. Plant

Janet E. Plant is a scholar working on Food Science, Infectious Diseases, Immunology, Animal Science and Zoology and Epidemiology, having authored 13 papers that have together received 828 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (5 papers), Aquaculture disease management and microbiota (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Animal Nutrition and Physiology (2 papers), Immune Response and Inflammation (2 papers), Trypanosoma species research and implications (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Endocrinology (106 citations), Infectious Diseases (254 citations), Food Science (216 citations), Immunology (228 citations) and Parasitology (50 citations). Janet E. Plant has collaborated with scholars based in United Kingdom. Frequent co-authors include A. A. Glynn, I.N. Brown, J. J. Roberts, A.R. Crathorn, J.E. Sturrock, G. Gard, Helen M. Acland, Katherine H. Walker, G.A. Higgs and Martin Rosendaal. Their work appears in journals such as Veterinary Record, Infection and Immunity, The Journal of Infectious Diseases, Chemico-Biological Interactions 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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