I. Simarro

1.1k citations
32 papers · 876 · h-index 18

Impact in

Papers in

I. Simarro

31 papers receiving 836 citations

Peers

I. Simarro
Comparison fields: 5 of 59
  • Animal Science and Zoology 756
  • Infectious Diseases 705
  • Genetics 573
  • Agronomy and Crop Science 105
  • Microbiology 21
Replace A. Doster with:
A. Doster United States
Merijn Vanhee Belgium
D. J. van Roozelaar Netherlands
Ana Marek Austria
Katarzyna Podgórska Poland
K. G. Madsen Denmark
Roger D. Woods United States
Min‐Yuan Chia Taiwan
Patricia Renson France
K. A. Eernisse United States
I. Simarro relative to A. Doster United States A. Doster's profile →
Citations per field
00.5×1.5×1.8×
A. Doster · 1×
Citations per year

Countries citing papers authored by I. Simarro

Since Specialization
Citations

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

Fields of papers citing papers by I. Simarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199274
2 200772
3 201171
4 200663
5 200761
6 201158
7 199552
8 200542
9 199737
10 199636
11 201334
12 200633
13 199732
14 199630
15 200828
16 200622
17 201018
18 202117
19 200316
20 199616

About I. Simarro

I. Simarro is a scholar working on Animal Science and Zoology, Genetics, Infectious Diseases, Epidemiology and Molecular Biology, having authored 32 papers that have together received 876 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (25 papers), Virus-based gene therapy research (24 papers), Viral gastroenteritis research and epidemiology (22 papers), Animal Disease Management and Epidemiology (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Influenza Virus Research Studies (2 papers), Viral Infections and Immunology Research (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Animal Science and Zoology (756 citations), Infectious Diseases (705 citations), Genetics (573 citations), Agronomy and Crop Science (105 citations) and Microbiology (21 citations). I. Simarro has collaborated with scholars based in Spain, Vietnam and Sweden. Frequent co-authors include Cinta Prieto, Francisco Javier Martínez-Lobo, Marta Cerezo Prieto, José Castro, J. M. Castro, Mariela Scortti, Francisco Díez‐Fuertes, P. Suárez, J. Ignacio Casal and E. Cortés. Their work appears in journals such as Theriogenology, Veterinary Record, The Veterinary Journal, Veterinary Microbiology and Porcine Health Management.

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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