Juan Seva

602 citations
51 papers · 419 indexed · h-index 12

Impact in

Papers in

Juan Seva

46 papers receiving 404 citations

Peers

Juan Seva
Comparison fields: 5 of 72
  • Microbiology 86
  • Small Animals 92
  • Animal Science and Zoology 58
  • Agronomy and Crop Science 52
  • Infectious Diseases 94
Replace Mikael Niku with:
Mikael Niku Finland
Nicki Reed United Kingdom
Christelle Rossignol France
Enver BEYTUT Türkiye
Ronan G. Shaughnessy Ireland
I Sørensen Denmark
R. Lucena Spain
Monica R. Foote United States
O. Bárta United States
Hirotaka Igarashi Japan
Juan Seva relative to Mikael Niku Finland Mikael Niku's profile →
Citations per field
00.5×2.8×
Mikael Niku · 1×
Citations per year

Countries citing papers authored by Juan Seva

Since Specialization
Citations

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

Fields of papers citing papers by Juan Seva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20241
4 20231
5 20231
6 20181
7 201811
8 201511
9
"Humpy-backed" pigs' syndrome in Spain.
20131
10 20134
11
Poliencefalomalacia asociada a acidosis metabólica en bovino de lidia
20102
12
Influencia de diferentes situaciones de estrés en la actividad enzimática muscular en bovino de lidia (Bos taurus)
20100
13 20099
14 20067
15 20067
16 20005
17 20002
18 19985
19 199832
20 199637

About Juan Seva

Juan Seva is a scholar working on Microbiology, Small Animals, Agronomy and Crop Science, Animal Science and Zoology and Infectious Diseases, having authored 51 papers that have together received 419 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (7 papers), Microbial infections and disease research (6 papers), Tuberculosis Research and Epidemiology (6 papers), Virus-based gene therapy research (4 papers), T-cell and B-cell Immunology (4 papers), Animal Virus Infections Studies (3 papers), Milk Quality and Mastitis in Dairy Cows (3 papers) and Veterinary Oncology Research (3 papers). The work is most often cited by research in Microbiology (86 citations), Small Animals (92 citations), Animal Science and Zoology (58 citations), Agronomy and Crop Science (52 citations) and Infectious Diseases (94 citations). Juan Seva has collaborated with scholars based in Spain, United Kingdom and Mexico. Frequent co-authors include F. J. Pallarés, J. A. Navarro, A. Bernabé, G. Ramis, J. Sánchez, M.R. Caro, Antonio Muñoz, Amalia Agut, M.A. Gómez and Jesús Talavera López. Their work appears in journals such as Veterinary Record, Animals, Journal of Comparative Pathology, Theriogenology and Journal of the American Veterinary Medical Association.

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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