Lucía Barrado-Gil

994 citations
16 papers · 746 indexed · h-index 12

Lucía Barrado-Gil

16 papers receiving 740 citations

Peers

Lucía Barrado-Gil
Comparison fields: 5 of 77
  • Agronomy and Crop Science 282
  • Infectious Diseases 320
  • Computational Theory and Mathematics 160
  • Ecology, Evolution, Behavior and Systematics 187
  • Drug Discovery 1
Replace Miguel Ángel Cuesta-Geijo with:
Miguel Ángel Cuesta-Geijo Spain
Jesús Urquiza Spain
Ulrik Fahnøe Denmark
Bing Huang China
Ji-Young Min South Korea
William E. Severson United States
Wenbao Qi China
Yuejun Shi China
Chi-Jene Chen Taiwan
John C. Obenauer United States
Lucía Barrado-Gil relative to Miguel Ángel Cuesta-Geijo Spain Miguel Ángel Cuesta-Geijo's profile →
Citations per field
00.5×1.5×
Miguel Ángel Cuesta-Geijo · 1×
Citations per year

Countries citing papers authored by Lucía Barrado-Gil

Since Specialization
Citations

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

Fields of papers citing papers by Lucía Barrado-Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lucía Barrado-Gil. 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 Lucía Barrado-Gil. The network helps show where Lucía Barrado-Gil may publish in the future.

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20246
2 202310
3 20231
4 20229
5 202234
6 202123
7 202135
8 202024
9 2020332
10 201738
11 201720
12 201658
13 201577
14 201525
15 201538
16 201516

About Lucía Barrado-Gil

Lucía Barrado-Gil is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Immunology, having authored 16 papers that have together received 746 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (12 papers), Vector-Borne Animal Diseases (7 papers), Virus-based gene therapy research (5 papers), Viral Infections and Immunology Research (4 papers), T-cell and Retrovirus Studies (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Agronomy and Crop Science (282 citations), Infectious Diseases (320 citations) and Computational Theory and Mathematics (160 citations). Lucía Barrado-Gil has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Covadonga Alonso, Miguel Ángel Cuesta-Geijo, Inmaculada Galindo, Jesús Urquiza, Raquel Muñoz-Moreno, Carmen Gil, Nuria E. Campillo, Ana Martı́nez, David Ramírez and Vanesa Nozal. Their work appears in journals such as PLoS ONE, Journal of Virology and International Journal of Molecular Sciences.

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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