Inma Aznar

619 citations
33 papers · 367 · h-index 12

Impact in

    • Animal Disease Management and Epidemiology
    • Viral Infections and Vectors
    • Tuberculosis Research and Epidemiology
    • Viral gastroenteritis research and epidemiology

Papers in

Inma Aznar

32 papers receiving 334 citations

Peers

Inma Aznar
Comparison fields: 5 of 50
  • Agronomy and Crop Science 222
  • Infectious Diseases 192
  • Virology 31
  • Microbiology 30
  • Epidemiology 158
Replace Catalina Picasso‐Risso with:
Catalina Picasso‐Risso United States
Molly D. Murphy United States
Emre Özan Türkiye
Jonas Johansson Wensman Sweden
Ruuragchaa Sodnomdarjaa Mongolia
Brandon S. Schmit United States
A. Thangavelu India
Eveline Wodak Austria
Pam Dachung Luka Nigeria
Brigitte Cay Belgium
Inma Aznar relative to Catalina Picasso‐Risso United States Catalina Picasso‐Risso's profile →
Citations per field
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Catalina Picasso‐Risso · 1×
Citations per year

Countries citing papers authored by Inma Aznar

Since Specialization
Citations

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

Fields of papers citing papers by Inma Aznar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201141
2 201738
3 200826
4 202124
5 201923
6 202022
7 202120
8 200919
9 200818
10 202115
11 202213
12 202112
13 201811
14 202010
15 20218
16 20238
17 20148
18 20136
19 20206
20 20216

About Inma Aznar

Inma Aznar is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Public Health, Environmental and Occupational Health, having authored 33 papers that have together received 367 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (19 papers), Influenza Virus Research Studies (11 papers), Vector-Borne Animal Diseases (9 papers), Zoonotic diseases and public health (7 papers), Viral Infections and Vectors (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Tuberculosis Research and Epidemiology (4 papers) and Rabies epidemiology and control (3 papers). The work is most often cited by research in Agronomy and Crop Science (222 citations), Infectious Diseases (192 citations), Virology (31 citations), Microbiology (30 citations) and Epidemiology (158 citations). Inma Aznar has collaborated with scholars based in United States, Ireland and Netherlands. Frequent co-authors include Simon J. More, Guy McGrath, James O’Keeffe, K. Frankena, M.C.M. de Jong, Yves Van der Stede, Francesca Baldinelli, Arjan Stegeman, D. P. LEADON and Denise Murphy. Their work appears in journals such as EFSA Journal, Preventive Veterinary Medicine, Equine Veterinary Journal, Irish Veterinary Journal and Veterinary Microbiology.

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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