Daniela Denk

39 papers receiving 355 citations

Peers

Daniela Denk
Comparison fields: 5 of 74
  • Parasitology 77
  • Small Animals 65
  • Insect Science 104
  • Virology 16
  • Microbiology 21
Replace Washington Luiz Assunção Pereira with:
Washington Luiz Assunção Pereira Brazil
Lisa L. Farina United States
Gisele Braziliano de Andrade Brazil
Amber L. Labelle United States
Richard D. McKown United States
Tatiana Mello de Souza Brazil
David W. Gardiner United States
J. Ortega Spain
Claire Vergneau‐Grosset Canada
Jennifer D’Agostino United States
Daniela Denk relative to Washington Luiz Assunção Pereira Brazil Washington Luiz Assunção Pereira's profile →
Citations per field
00.5×4.2×
Washington Luiz Assunção Pereira · 1×
Citations per year

Countries citing papers authored by Daniela Denk

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Denk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200856
2 201452
3 200941
4 201928
5 201419
6 201618
7 202217
8 201117
9 202115
10 202213
11 201810
12 20119
13 20209
14 20138
15 20177
16 20117
17 20225
18 20235
19 20214
20 20234

About Daniela Denk

Daniela Denk is a scholar working on Parasitology, Small Animals, Epidemiology, Genetics and Microbiology, having authored 46 papers that have together received 379 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (6 papers), Microbial infections and disease research (6 papers), Veterinary Medicine and Surgery (5 papers), Animal Virus Infections Studies (4 papers), Bird parasitology and diseases (4 papers), Foreign Body Medical Cases (3 papers), Rabies epidemiology and control (3 papers) and Medical and Biological Ozone Research (3 papers). The work is most often cited by research in Parasitology (77 citations), Small Animals (65 citations), Insect Science (104 citations), Virology (16 citations) and Microbiology (21 citations). Daniela Denk has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Mark F. Stidworthy, Kaspar Matiasek, Akbar Dastjerdi, Tanja A. Steinberg, Falko Steinbach, Karen Kerr, Kerstin Baiker, Andrew J. Davison, Gavin S. Wilkie and Sharon Redrobe. Their work appears in journals such as Journal of Comparative Pathology, Veterinary Record, Veterinary Parasitology, Journal of Fish Diseases and Veterinary Ophthalmology.

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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