J. Gómez‐Laguna

1.8k citations
94 papers · 1.4k · h-index 20

Impact in

Papers in

J. Gómez‐Laguna

89 papers receiving 1.3k citations

Peers

J. Gómez‐Laguna
Comparison fields: 5 of 81
  • Animal Science and Zoology 743
  • Infectious Diseases 742
  • Microbiology 139
  • Genetics 411
  • Biotechnology 112
Replace Masuo SUEYOSHI with:
Masuo SUEYOSHI Japan
Hsiang‐Jung Tsai Taiwan
Lijie Tang China
Yigang Xu China
Douglas C. Hodgins Canada
André Felipe Streck Brazil
Sanjie Cao China
Beibei Li China
Jianchao Wei China
Leonardo Susta Canada
J. Gómez‐Laguna relative to Masuo SUEYOSHI Japan Masuo SUEYOSHI's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. Gómez‐Laguna

Since Specialization
Citations

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

Fields of papers citing papers by J. Gómez‐Laguna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Gómez‐Laguna. 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 J. Gómez‐Laguna. The network helps show where J. Gómez‐Laguna may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200995
2 201281
3 202177
4 201745
5 200943
6 201342
7 200938
8 201336
9 201233
10 201531
11 201030
12 201028
13 201027
14 201527
15 201224
16 201524
17 201623
18 202021
19 202120
20 201819

About J. Gómez‐Laguna

J. Gómez‐Laguna is a scholar working on Infectious Diseases, Animal Science and Zoology, Genetics, Epidemiology and Microbiology, having authored 94 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (37 papers), Viral gastroenteritis research and epidemiology (29 papers), Virus-based gene therapy research (21 papers), Mycobacterium research and diagnosis (14 papers), Microbial infections and disease research (12 papers), Tuberculosis Research and Epidemiology (11 papers), Salmonella and Campylobacter epidemiology (7 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). The work is most often cited by research in Animal Science and Zoology (743 citations), Infectious Diseases (742 citations), Microbiology (139 citations), Genetics (411 citations) and Biotechnology (112 citations). J. Gómez‐Laguna has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include L. Carrasco, F. J. Pallarés, I.M. Rodríguez-Gómez, Francisco J. Salguero, José María Sánchez‐Carvajal, Inmaculada Luque, Inés Ruedas‐Torres, R. Astorga, A. Bernabé and Juan J. Quereda. Their work appears in journals such as Veterinary Microbiology, Veterinary Record, Journal of Comparative Pathology, Transboundary and Emerging Diseases and Frontiers in Veterinary Science.

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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