Emi Barker

1.4k citations
62 papers · 1.1k · h-index 19

Impact in

Papers in

Emi Barker

55 papers receiving 997 citations

Peers

Emi Barker
Comparison fields: 5 of 86
  • Parasitology 434
  • Microbiology 238
  • Virology 101
  • Infectious Diseases 369
  • Animal Science and Zoology 146
Replace Félix González with:
Félix González Brazil
Karl Heinritzi Germany
Richard A. Squires Australia
Sergey Artiushin United States
Aya Matsuu Japan
Daniela Proverbio Italy
S. P. Pakes United States
Johnny Durr Hoskins United States
Renata Assis Casagrande Brazil
GOVINDA S. VISVESVARA United States
Emi Barker relative to Félix González Brazil Félix González's profile →
Citations per field
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Félix González · 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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201190
2 201084
3 200583
4 200980
5 202345
6 200540
7 200539
8 201339
9 201337
10 201428
11 201126
12 201226
13 201025
14 201625
15 201825
16 201925
17 201124
18 201021
19 201821
20 201018

About Emi Barker

Emi Barker is a scholar working on Parasitology, Infectious Diseases, Microbiology, Animal Science and Zoology and Genetics, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (17 papers), Microbial infections and disease research (13 papers), Animal Virus Infections Studies (11 papers), Viral Infections and Vectors (10 papers), Virus-based gene therapy research (8 papers), Viral gastroenteritis research and epidemiology (7 papers), Rabies epidemiology and control (4 papers) and Herpesvirus Infections and Treatments (4 papers). The work is most often cited by research in Parasitology (434 citations), Microbiology (238 citations), Virology (101 citations), Infectious Diseases (369 citations) and Animal Science and Zoology (146 citations). Emi Barker has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Séverine Tasker, Chris R. Helps, Iain R. Peters, Mick Bailey, Charlotte F Inman, C.R. Stokes, L. Rees, Karin Haverson, M.J. Day and Steven C. Campbell. Their work appears in journals such as Journal of Small Animal Practice, Veterinary Record, Journal of Veterinary Internal Medicine, Pathogens and The Veterinary Journal.

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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