Daniela M. Dankbar

452 citations
7 papers · 367 · h-index 6

Impact in

Papers in

    • Influenza Virus Research Studies 5
    • Respiratory viral infections research 5
    • RNA and protein synthesis mechanisms 3
    • Advanced Biosensing Techniques and Applications 2
    • Advanced biosensing and bioanalysis techniques 1

Daniela M. Dankbar

7 papers receiving 336 citations

Peers

Daniela M. Dankbar
Comparison fields: 5 of 51
  • Epidemiology 210
  • Agronomy and Crop Science 67
  • Infectious Diseases 75
  • Animal Science and Zoology 33
  • Biomedical Engineering 77
Replace Martin Mehlmann with:
Martin Mehlmann United States
Anna Stachyra Poland
Mindaugas Juozapaitis Lithuania
Jieshi Yu China
Xuebo Guo China
Jida Li China
Nigel J. Silman United Kingdom
Emily J. Fairmaid Australia
Alan Yung-Chih Hu Taiwan
Nguyễn Lê Khánh Hằng Vietnam
Daniela M. Dankbar relative to Martin Mehlmann United States Martin Mehlmann's profile →
Citations per field
00.5×1.5×
Martin Mehlmann · 1×
Citations per year

Countries citing papers authored by Daniela M. Dankbar

Since Specialization
Citations

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

Fields of papers citing papers by Daniela M. Dankbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Daniela M. Dankbar, 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 M. Dankbar Line = papers co-authored together Daniela M. Dankbar links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2006116
2 200660
3 200659
4 200758
5 200644
6 200728
7 20062

About Daniela M. Dankbar

Daniela M. Dankbar is a scholar working on Epidemiology, Molecular Biology, Bioengineering, Agronomy and Crop Science and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 367 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (5 papers), RNA and protein synthesis mechanisms (3 papers), Advanced Biosensing Techniques and Applications (2 papers), Animal Disease Management and Epidemiology (1 paper), Viral Infections and Immunology Research (1 paper), Analytical Chemistry and Sensors (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Epidemiology (210 citations), Agronomy and Crop Science (67 citations), Infectious Diseases (75 citations), Animal Science and Zoology (33 citations) and Biomedical Engineering (77 citations). Daniela M. Dankbar has collaborated with scholars based in United States and Germany. Frequent co-authors include Martin Mehlmann, Erica D. Dawson, Chad L. Moore, Robert D. Kuchta, Kathy L. Rowlen, James A. Smagala, Nancy Jean Cox, Catherine Smith, Michael B. Townsend and Günter Gauglitz. Their work appears in journals such as Analytical Chemistry, Journal of Clinical Microbiology, Analytical and Bioanalytical Chemistry and Microchimica Acta.

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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