J. Viseras

675 citations
9 papers · 574 · 1 hit paper · h-index 6

Impact in

Papers in

J. Viseras

8 papers receiving 550 citations

J. Viseras's Hit Papers

Simultaneous Detection of Bovine Theileria and Babesia Species by Reverse Line Blot Hybridization 1999 · 478 citations
4780+9+18Years since publication100200300400

Peers

J. Viseras
Comparison fields: 5 of 32
  • Parasitology 523
  • Infectious Diseases 296
  • Ecology, Evolution, Behavior and Systematics 308
  • Insect Science 122
  • Small Animals 27
Replace Ayşe Çakmak with:
Ayşe Çakmak Türkiye
Serpil Nalbantoğlu Türkiye
Amar Taoufik Netherlands
E. de Vries Netherlands
Doreen Beyer Germany
Hasan Eren Türkiye
Cleber Oliveira Soares Brazil
Yuanzhi Wang China
Reinhard Böse Germany
Zafer Karaer Türkiye
J. Viseras relative to Ayşe Çakmak Türkiye Ayşe Çakmak's profile →
Citations per field
00.5×1.5×
Ayşe Çakmak · 1×
Citations per year

Countries citing papers authored by J. Viseras

Since Specialization
Citations

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

Fields of papers citing papers by J. Viseras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside J. Viseras, 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. Viseras Line = papers co-authored together J. Viseras links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Simultaneous Detection of Bovine Theileria and Babesia Species by Reverse Line Blot Hybridization
Hit paper breakdown →
1999478
2 199938
3 199929
4 199713
5
Field trial of immunization with an experimental vaccine against Mediterranean theileriosis in Spain.
19975
6
Studies on theileriosis in Southern Spain.
19995
7 19984
8 19991
9
La theileriosis bovina en Espana y su diagnostico seroepidemiologico.
19961

About J. Viseras

J. Viseras is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics, Insect Science, Infectious Diseases and Plant Science, having authored 9 papers that have together received 574 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (9 papers), Vector-Borne Animal Diseases (5 papers), Insect and Pesticide Research (4 papers), Viral Infections and Vectors (3 papers), Insect Pest Control Strategies (2 papers), Insect and Arachnid Ecology and Behavior (1 paper), Insect symbiosis and bacterial influences (1 paper) and Entomopathogenic Microorganisms in Pest Control (1 paper). The work is most often cited by research in Parasitology (523 citations), Infectious Diseases (296 citations), Ecology, Evolution, Behavior and Systematics (308 citations), Insect Science (122 citations) and Small Animals (27 citations). J. Viseras has collaborated with scholars based in Spain, Netherlands and Brazil. Frequent co-authors include E. de Vries, Leo M. Schouls, A.P. de Vos, Marc‐Jan Gubbels, Frans Jongejan, P. García‐Fernández, Francisco Javier Adroher, Joaquina Martín‐Sánchez and Alberto A. Guglielmone. Their work appears in journals such as Parasitology Research, Journal of Clinical Microbiology, Parasite, Journal of Veterinary Medicine Series B and PubMed.

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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