Th Dijkstra

938 citations
16 papers · 742 · h-index 11

Impact in

Papers in

Th Dijkstra

15 papers receiving 677 citations

Peers

Th Dijkstra
Comparison fields: 5 of 46
  • Parasitology 629
  • Agronomy and Crop Science 230
  • Virology 65
  • Microbiology 51
  • Ecology, Evolution, Behavior and Systematics 165
Replace Andrea Bärwald with:
Andrea Bärwald Germany
Juana Pereira-Bueno Spain
Harald Waldeland Norway
Daniel Gutiérrez-Expósito Spain
F. Guy United Kingdom
Leszek Choromański United States
Brigitte Hentrich Switzerland
Lam Thi Thu Huong Vietnam
Dubey Jp United States
R Wurm Germany
Th Dijkstra relative to Andrea Bärwald Germany Andrea Bärwald's profile →
Citations per field
00.5×1.5×
Andrea Bärwald · 1×
Citations per year

Countries citing papers authored by Th Dijkstra

Since Specialization
Citations

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

Fields of papers citing papers by Th Dijkstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1999181
2 2001136
3 200186
4 200280
5 200254
6 200253
7 199846
8 200236
9 200824
10 200220
11 202015
12
Estimated economic losses due to Neospora caninum infection in dairy herds with and without a history of Neospora caninum associated abortion epidemics.
20067
13
[Stillbirth/perinatal weak calf syndrome in dairy heifers: results of a pilot study].
20042
14
[Abortion on cattle farms: research results and advice].
20101
15
[Campylobacter as a venereal disease in cattle].
20051
16 20120

About Th Dijkstra

Th Dijkstra is a scholar working on Parasitology, Agronomy and Crop Science, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Immunology, having authored 16 papers that have together received 742 indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (8 papers), Parasitic Infections and Diagnostics (6 papers), Animal Disease Management and Epidemiology (6 papers), Vector-Borne Animal Diseases (3 papers), T-cell and Retrovirus Studies (3 papers), Viral Infections and Vectors (3 papers), Rabies epidemiology and control (2 papers) and Pharmaceutical Practices and Patient Outcomes (1 paper). The work is most often cited by research in Parasitology (629 citations), Agronomy and Crop Science (230 citations), Virology (65 citations), Microbiology (51 citations) and Ecology, Evolution, Behavior and Systematics (165 citations). Th Dijkstra has collaborated with scholars based in Netherlands, Canada and Sweden. Frequent co-authors include W. Wouda, Herman W. Barkema, M. Eysker, J. Brinkhof, Arjen Kramer, C. van Maanen, Jan Willem Hesselink, Gereon Schares, Franz J. Conraths and Camilla Björkman. Their work appears in journals such as Veterinary Parasitology, International Journal for Parasitology, Journal of Equine Veterinary Science, Preventive Veterinary Medicine and Veterinary Quarterly.

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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