Emi Barker

1.3k citations
56 papers · 896 · h-index 18

Impact in

Papers in

    • Viral Infections and Vectors 10
    • Viral gastroenteritis research and epidemiology 9
    • Microbial infections and disease research 15

Emi Barker

47 papers receiving 870 citations

Peers

Emi Barker
Comparison fields: 5 of 83
  • Parasitology 408
  • Microbiology 257
  • Virology 122
  • Infectious Diseases 378
  • Small Animals 92
Replace Richard A. Squires with:
Richard A. Squires Australia
Sergey Artiushin United States
Aya Matsuu Japan
Johnny D. Hoskins United States
S. P. Pakes United States
Daniela Proverbio Italy
M. McElroy Ireland
Shila K. Nordone United States
Krystle L. Reagan United States
Miguel A. Tesouro Spain
Emi Barker relative to Richard A. Squires Australia Richard A. Squires's profile →
Citations per field
00.5×3.8×
Richard A. Squires · 1×
Citations per year

Countries citing papers authored by Emi Barker

Since Specialization
Citations

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

Fields of papers citing papers by Emi Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201183
2 200582
3 201080
4 200974
5 200536
6 200535
7 201335
8 201332
9 201426
10 201825
11 201624
12 201124
13 201923
14 201223
15 201022
16 201120
17 201019
18 201817
19 201016
20 201115

About Emi Barker

Emi Barker is a scholar working on Infectious Diseases, Microbiology, Parasitology, Genetics and Epidemiology, having authored 56 papers that have together received 896 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (15 papers), Microbial infections and disease research (15 papers), Virus-based gene therapy research (10 papers), Viral Infections and Vectors (10 papers), Animal Virus Infections Studies (9 papers), Viral gastroenteritis research and epidemiology (9 papers), Rabies epidemiology and control (7 papers) and Herpesvirus Infections and Treatments (6 papers). The work is most often cited by research in Parasitology (408 citations), Microbiology (257 citations), Virology (122 citations), Infectious Diseases (378 citations) and Small Animals (92 citations). Emi Barker has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Séverine Tasker, Chris R. Helps, Iain R. Peters, Mick Bailey, C.R. Stokes, Charlotte Inman, L. Rees, K. Haverson, M.J. Day and S. W. J. Reid. Their work appears in journals such as Journal of Small Animal Practice, Veterinary Record, Journal of Veterinary Internal Medicine, The Veterinary Journal and Pathogens.

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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