Katrin Utke

598 citations
6 papers · 475 · h-index 5

Impact in

  • Immunology top 10%
    • Aquaculture disease management and microbiota
    • Immune Cell Function and Interaction
    • Invertebrate Immune Response Mechanisms
    • T-cell and B-cell Immunology
    • interferon and immune responses
    • Animal Virus Infections Studies

Papers in

Katrin Utke

6 papers receiving 462 citations

Peers

Katrin Utke
Comparison fields: 5 of 50
  • Immunology 419
  • Animal Science and Zoology 81
  • Aquatic Science 56
  • Microbiology 23
  • Agronomy and Crop Science 36
Replace Yuta Matsuura with:
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Katrin Utke relative to Yuta Matsuura Japan Yuta Matsuura's profile →
Citations per field
00.5×1.5×2.0×
Yuta Matsuura · 1×
Citations per year

Countries citing papers authored by Katrin Utke

Since Specialization
Citations

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

Fields of papers citing papers by Katrin Utke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Katrin Utke, 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 Katrin Utke Line = papers co-authored together Katrin Utke links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2005159
2 2006100
3 200799
4 200383
5 200933
6
Der Verlauf der klassischen Schweinepest: Ein Infektionsversuch mit dem aktuellen Schweinepest-Virusisolat aus Nordrhein-Westfalen (Kreis Borken)
20071

About Katrin Utke

Katrin Utke is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Small Animals and Cardiology and Cardiovascular Medicine, having authored 6 papers that have together received 475 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (4 papers), Immune Cell Function and Interaction (4 papers), Invertebrate Immune Response Mechanisms (2 papers), Animal Disease Management and Epidemiology (2 papers), T-cell and B-cell Immunology (2 papers), Vector-Borne Animal Diseases (2 papers), Animal Behavior and Welfare Studies (1 paper) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Immunology (419 citations), Animal Science and Zoology (81 citations), Aquatic Science (56 citations), Microbiology (23 citations) and Agronomy and Crop Science (36 citations). Katrin Utke has collaborated with scholars based in Germany, Japan and Czechia. Frequent co-authors include Uwe Fischer, Mitsuru Ototake, Bernd Köllner, Teruyuki Nakanishi, Tomonori Somamoto, Sven Bergmann, Niels Lorenzen, Johannes M. Dijkstra, Katja Einer-Jensen and Holger Kock. Their work appears in journals such as Fish & Shellfish Immunology, Veterinary Microbiology, Developmental & Comparative Immunology and Tierärztliche Umschau.

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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