Ute Kaim

448 citations
17 papers · 334 · h-index 10

Impact in

    • Brucella: diagnosis, epidemiology, treatment
    • Veterinary medicine and infectious diseases
    • Diphtheria, Corynebacterium, and Tetanus

Papers in

    • Virology and Viral Diseases 2
    • Mycobacterium research and diagnosis 2
    • Microbial infections and disease research 4

Ute Kaim

16 papers receiving 322 citations

Peers

Ute Kaim
Comparison fields: 5 of 48
  • Small Animals 117
  • Endocrinology 40
  • Microbiology 37
  • Virology 20
  • Public Health, Environmental and Occupational Health 108
Replace Norman Rojas with:
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Citations per field
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Citations per year

Countries citing papers authored by Ute Kaim

Since Specialization
Citations

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

Fields of papers citing papers by Ute Kaim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200699
2 201287
3 200630
4 201025
5 201222
6 201716
7 201810
8
Trueperella pyogenes as cause of a facial abscess in a grey slender loris (Loris lydekkerianus nordicus)--a case report.
201310
9
[Swinepox--skin disease with sporadic occurrence].
200810
10
[Canine distemper virus--an agent looking for new hosts].
20039
11 20088
12 20153
13 20202
14
Schweinepocken eine sporadisch vorkommende Hauterkrankung
20081
15 20241
16
[Pathologic-anatomical changes in newborn goats caused by an intrauterine Schmallenberg virus infection].
20151
17
Pathologisch-anatomische Veränderungen bei Ziegenlämmern, verursacht durch eine intrauterine Schmallenberg-Virus-Infektion
20140

About Ute Kaim

Ute Kaim is a scholar working on Epidemiology, Microbiology, Virology, Small Animals and Ecology, Evolution, Behavior and Systematics, having authored 17 papers that have together received 334 indexed citations. Recurring topics across this work include Microbial infections and disease research (4 papers), Streptococcal Infections and Treatments (2 papers), Virology and Viral Diseases (2 papers), Vector-Borne Animal Diseases (2 papers), Vector-borne infectious diseases (2 papers), Animal Disease Management and Epidemiology (2 papers), Poxvirus research and outbreaks (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Small Animals (117 citations), Endocrinology (40 citations), Microbiology (37 citations), Virology (20 citations) and Public Health, Environmental and Occupational Health (108 citations). Ute Kaim has collaborated with scholars based in Germany, Egypt and Ireland. Frequent co-authors include Christoph Georg Baums, Girish Ramachandran, Peter Valentin‐Weigand, Ralph Goethe, Marcus Fulde, Wolfgang Baumgärtner, Tobias Eisenberg, Klaus Failing, Andreas Moritz and M. Zschöck. Their work appears in journals such as Antonie van Leeuwenhoek, Veterinary Microbiology, BMC Veterinary Research, Medical Mycology and Infection and Immunity.

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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