A Daas

51 papers and 336 indexed citations i.

About

A Daas is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, A Daas has authored 51 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Epidemiology. Recurrent topics in A Daas’s work include Biosimilars and Bioanalytical Methods (16 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Diphtheria, Corynebacterium, and Tetanus (9 papers). A Daas is often cited by papers focused on Biosimilars and Bioanalytical Methods (16 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Diphtheria, Corynebacterium, and Tetanus (9 papers). A Daas collaborates with scholars based in United Kingdom, Germany and Italy. A Daas's co-authors include Dorothea Sesardic, Randi Winsnes, Beate Krämer, Catherine Milne, Coenraad Hendriksen, Ivo Claassen, Janet M. Daly, G Rautmann, Richard Isbrucker and R Dobbelaer and has published in prestigious journals such as Vox Sanguinis, Biologicals and PubMed.

In The Last Decade

Co-authorship network of co-authors of A Daas i

Fields of papers citing papers by A Daas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by A Daas

Since Specialization
Citations

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

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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