Maya Andonova

568 citations
15 papers · 415 · h-index 10

Impact in

Papers in

Maya Andonova

14 papers receiving 399 citations

Peers

Maya Andonova
Comparison fields: 5 of 49
  • Infectious Diseases 340
  • Public Health, Environmental and Occupational Health 220
  • Parasitology 45
  • Animal Science and Zoology 62
  • Virology 15
Replace Peter Buck with:
Peter Buck Canada
D Bhattacharya India
Akina Mori‐Kajihara Japan
Shiho Torii Japan
Byung-Hak Song United States
PV Lakshmana Rao India
Corey J. Bennett United States
Fanni Földes Hungary
Christin H. Goodman United States
Laura L. Hermann Canada
Maya Andonova relative to Peter Buck Canada Peter Buck's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maya Andonova

Since Specialization
Citations

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

Fields of papers citing papers by Maya Andonova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200479
2 200463
3 200654
4
Comparison of assays for the detection of West Nile virus antibodies in chicken serum.
200352
5 200635
6 200333
7 200827
8 201124
9 200420
10 200415
11 20096
12 20105
13
[Serological study carried out in Cuban localities where confirmed western Nile virus infection is present].
20131
14 20181
15
INTRAVENOUS GLUCOSE TOLERANCE TEST IN DOGS WITH EXPERIMENTAL STAPHYLOCOCCUS INFECTION
20060

About Maya Andonova

Maya Andonova is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Animal Science and Zoology, Parasitology and Ecology, Evolution, Behavior and Systematics, having authored 15 papers that have together received 415 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (9 papers), Viral Infections and Vectors (8 papers), Viral Infections and Outbreaks Research (4 papers), Animal Virus Infections Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Malaria Research and Control (2 papers), Vector-Borne Animal Diseases (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (340 citations), Public Health, Environmental and Occupational Health (220 citations), Parasitology (45 citations), Animal Science and Zoology (62 citations) and Virology (15 citations). Maya Andonova has collaborated with scholars based in Canada, Cuba and United States. Frequent co-authors include Michael Drebot, Peter Marszal, Hana M. Weingartl, Paul Kitching, Jason Gren, Antonia Dibernardo, Raymond Tellier, Grant Johnson, Dena Adachi and Melissa Ayers. Their work appears in journals such as Emerging infectious diseases, The Journal of Immunology, Diagnostic Microbiology and Infectious Disease, Vector-Borne and Zoonotic Diseases and Molecular Immunology.

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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