Dagmar Ε. Frank

27 papers receiving 894 citations

Peers

Dagmar Ε. Frank
Comparison fields: 5 of 80
  • Small Animals 236
  • Equine 49
  • Agronomy and Crop Science 187
  • Microbiology 114
  • Immunology 248
Replace Fabio Gentilini with:
Fabio Gentilini Italy
Raquel R. Rech United States
C.R. Stokes United Kingdom
MG Collett New Zealand
Melanie Craven United States
Briän Catchpole United Kingdom
Bradley L. Njaa United States
Gary J. Haldorson United States
Stephen D. Lenz United States
Douglas J. DeBoer United States
Dagmar Ε. Frank relative to Fabio Gentilini Italy Fabio Gentilini's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dagmar Ε. Frank

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Ε. Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dagmar Ε. Frank. 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 Dagmar Ε. Frank. The network helps show where Dagmar Ε. Frank may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003373
2 198658
3 200355
4 199355
5 199144
6 199037
7 200432
8 200332
9 198927
10 200325
11
Comparison of experimental models for Streptococcus suis infection of conventional pigs.
200323
12 199721
13 199919
14 199315
15 199215
16 199414
17 200113
18 198312
19 199111
20 198611

About Dagmar Ε. Frank

Dagmar Ε. Frank is a scholar working on Immunology, Agronomy and Crop Science, Small Animals, Genetics and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 930 indexed citations. Recurring topics across this work include Immune Response and Inflammation (8 papers), Animal Disease Management and Epidemiology (5 papers), T-cell and Retrovirus Studies (4 papers), Veterinary Oncology Research (3 papers), Immune Cell Function and Interaction (3 papers), Microbial infections and disease research (3 papers), Liver Disease and Transplantation (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Small Animals (236 citations), Equine (49 citations), Agronomy and Crop Science (187 citations), Microbiology (114 citations) and Immunology (248 citations). Dagmar Ε. Frank has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include James A. Roth, Yosiya Niyo, Albert E. Jergens, P.D. Eckersall, Ceinwen A. Schreiner, Richard B. Evans, Steven R. Bolin, Susan Carpenter, Claire B. Andreasen and Gayle B. Brown. Their work appears in journals such as Veterinary Immunology and Immunopathology, American Journal of Veterinary Research, Journal of Veterinary Internal Medicine, Journal of Veterinary Pharmacology and Therapeutics and Journal of Leukocyte Biology.

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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