J. Meers

5.4k citations
146 papers · 3.9k indexed · h-index 34

Impact in

Papers in

J. Meers

138 papers receiving 3.6k citations

Peers

J. Meers
Comparison fields: 5 of 142
  • Agronomy and Crop Science 839
  • Virology 387
  • Animal Science and Zoology 739
  • Infectious Diseases 849
  • Microbiology 282
Replace Armand Sánchez with:
Armand Sánchez Spain
Franklin Riet-Corrêa Brazil
Paul-Pierre Pastoret Belgium
David Driemeier Brazil
William W. Laegreid United States
Takeshi Mikami Japan
J. R. Egerton Australia
Diana Williams United Kingdom
João Pessoa Araújo Brazil
Wim Gaastra Netherlands
J. Meers relative to Armand Sánchez Spain Armand Sánchez's profile →
Citations per field
00.5×5.6×
Armand Sánchez · 1×
Citations per year

Countries citing papers authored by J. Meers

Since Specialization
Citations

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

Fields of papers citing papers by J. Meers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 202210
3 20219
4 20207
5 201921
6 20151
7 20142
8 201416
9 201342
10 201312
11
On the Distribution of Henipaviruses In the Australasian Region: Does Nipah Virus Occur East Of the Wallace Line?
20111
12 201122
13 20070
14 200631
15 20068
16 200628
17 20052
18 200260
19 20019
20 200015

About J. Meers

J. Meers is a scholar working on Virology, Animal Science and Zoology, Agronomy and Crop Science, Infectious Diseases and Epidemiology, having authored 146 papers that have together received 3.9k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (38 papers), Virology and Viral Diseases (36 papers), Animal Virus Infections Studies (31 papers), Viral Infections and Vectors (24 papers), Herpesvirus Infections and Treatments (24 papers), Virus-based gene therapy research (17 papers), Livestock and Poultry Management (17 papers) and Influenza Virus Research Studies (16 papers). The work is most often cited by research in Agronomy and Crop Science (839 citations), Virology (387 citations), Animal Science and Zoology (739 citations), Infectious Diseases (849 citations) and Microbiology (282 citations). J. Meers has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include D. W. Tempest, C. M. Brown, Paul R. Young, Rachael Tarlinton, Joerg Henning, Hume Field, Magdalena Dunowska, C.R. Wilks, Andrew C. Breed and Jon Hanger. Their work appears in journals such as New Zealand Veterinary Journal, Archives of Virology, Preventive Veterinary Medicine, PLoS ONE and Australian 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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