Everardo Vega

2.7k citations
29 papers · 1.8k indexed · 1 hit paper · h-index 18

Everardo Vega

29 papers receiving 1.7k citations

Hit Papers

Proposal for a unified norovirus nomenclature and genotyping4802013202620172021100200300400

Peers

Everardo Vega
Comparison fields: 5 of 81
  • Infectious Diseases 1.5k
  • Animal Science and Zoology 624
  • Cardiology and Cardiovascular Medicine 662
  • Hepatology 198
  • Molecular Medicine 80
Replace Annelies Kroneman with:
Annelies Kroneman Netherlands
Kenji Sakae Japan
Filemón Bucardo Nicaragua
Gail E. Greening New Zealand
Ilaria Di Bartolo Italy
Andrej Steyer Slovenia
F. Raúl Velázquez Mexico
Isidore Juste O. Bonkoungou Burkina Faso
Triveni Krishnan India
Jennifer L. Cannon United States
Everardo Vega relative to Annelies Kroneman Netherlands Annelies Kroneman's profile →
Citations per field
00.5×4.4×
Annelies Kroneman · 1×
Citations per year

Countries citing papers authored by Everardo Vega

Since Specialization
Citations

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

Fields of papers citing papers by Everardo Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 20223
4 202111
5 202118
6 20215
7 201546
8 201569
9 201485
10 2014124
11 201415
12 2013242
13 201323
14
Proposal for a unified norovirus nomenclature and genotypingbreakdown →
2013480
15 201158
16 2011199
17 201017
18 200845
19 200339
20 200332

About Everardo Vega

Everardo Vega is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine and Animal Science and Zoology, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (26 papers), Viral Infections and Immunology Research (12 papers), Respiratory viral infections research (9 papers), Animal Virus Infections Studies (5 papers), Listeria monocytogenes in Food Safety (3 papers), Virus-based gene therapy research (2 papers), Animal Disease Management and Epidemiology (2 papers) and Fecal contamination and water quality (2 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Animal Science and Zoology (624 citations) and Cardiology and Cardiovascular Medicine (662 citations). Everardo Vega has collaborated with scholars based in United States, Pakistan and Philippines. Frequent co-authors include Jan Vinjé, Suresh D. Pillai, Kim Y. Green, Annelies Kroneman, Marion Koopmans, Harry Vennema, Grant S. Hansman, Kazuhiko Katayama, Leslie Barclay and Peter A. White.

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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