A Daas

515 total citations
53 papers, 345 citations indexed

About

A Daas is a scholar working on Immunology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, A Daas has authored 53 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 11 papers in Infectious Diseases and 11 papers in Radiology, Nuclear Medicine and Imaging. 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 (10 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 (10 papers). A Daas collaborates with scholars based in Belgium, United Kingdom and Germany. A Daas's co-authors include Dorothea Sesardic, Randi Winsnes, Beate Krämer, Catherine Milne, Ivo Claassen, Janet M. Daly, Coenraad Hendriksen, G Rautmann, Richard Isbrucker and Emanuele Montomoli and has published in prestigious journals such as Vox Sanguinis, Biologicals and PubMed.

In The Last Decade

A Daas

50 papers receiving 311 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A Daas Belgium 11 112 103 77 68 67 53 345
Paul Stickings United Kingdom 15 42 0.4× 89 0.9× 96 1.2× 115 1.7× 150 2.2× 37 483
K H Wiesmüller Germany 12 134 1.2× 80 0.8× 65 0.8× 195 2.9× 193 2.9× 16 449
María Villacrés-Eriksson Sweden 13 98 0.9× 31 0.3× 60 0.8× 314 4.6× 127 1.9× 15 456
Jefferey S. Boyle Australia 7 78 0.7× 22 0.2× 73 0.9× 229 3.4× 123 1.8× 8 355
Karin Lövgren‐Bengtsson Sweden 12 94 0.8× 23 0.2× 146 1.9× 171 2.5× 96 1.4× 18 396
Diana Haddad Sweden 11 67 0.6× 49 0.5× 83 1.1× 264 3.9× 136 2.0× 17 510
Fons Bosman Belgium 10 235 2.1× 100 1.0× 47 0.6× 119 1.8× 168 2.5× 16 539
Birger Sørensen Norway 15 199 1.8× 141 1.4× 122 1.6× 157 2.3× 138 2.1× 33 506
Daniel M. N. Okenu United States 14 128 1.1× 63 0.6× 55 0.7× 209 3.1× 73 1.1× 17 487
S Pillai United States 4 67 0.6× 44 0.4× 72 0.9× 279 4.1× 54 0.8× 5 418

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).

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.

Co-authorship network of co-authors of A Daas

This figure shows the co-authorship network connecting the top 25 collaborators of A Daas. A scholar is included among the top collaborators of A Daas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A Daas. A Daas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chudy, M., C. Micha Nübling, Johannes Blümel, A Daas, & Antonio Costanzo. (2017). Establishment of the Ph. Eur. Hepatitis A virus RNA for NAT testing BRP batch 1.. PubMed. 2017. 29–43. 2 indexed citations
2.
Daas, A, et al.. (2017). Collaborative study on saccharide quantification of the Haemophilus influenzae type b component in liquid vaccine presentations.. PubMed. 2017. 44–68. 2 indexed citations
3.
Martín, Javier, et al.. (2016). European Pharmacopoeia biological reference preparation for poliomyelitis vaccine (inactivated): collaborative study for the establishment of batch No. 3.. PubMed. 2016. 135–150. 1 indexed citations
4.
Daas, A, et al.. (2016). Collaborative study for the calibration of replacement batches for the heparin low-molecular-mass for assay biological reference preparation.. PubMed. 2015. 35–47. 1 indexed citations
5.
Findlay, Lucy, Alan Heath, Stephen Poole, et al.. (2015). Collaborative study for the establishment of the WHO 3(rd) International Standard for Endotoxin, the Ph. Eur. endotoxin biological reference preparation batch 5 and the USP Reference Standard for Endotoxin Lot H0K354.. PubMed. 2015. 73–98. 10 indexed citations
6.
Burns, Chris, et al.. (2015). Establishment of the Ph. Eur. erythropoietin chemical reference substance batch 1.. PubMed. 2015. 99–117. 2 indexed citations
7.
Morgeaux, Sylvie, et al.. (2015). Establishment of hepatitis A vaccine (inactivated, non-adsorbed) BRP batches 2 and 3.. PubMed. 2015. 118–30. 2 indexed citations
8.
Burns, Chris, et al.. (2015). Collaborative study for the establishment of erythropoietin BRP batch 4.. PubMed. 2015. 246–53. 2 indexed citations
9.
Daas, A, et al.. (2015). EDQM biological reference preparation for rabies vaccine (inactivated) for veterinary use.. PubMed. 2015. 57–72. 2 indexed citations
10.
Krämer, Beate, et al.. (2013). A multi-dose serological assay suitable to quantify the potency of inactivated rabies vaccines for veterinary use. Biologicals. 41(6). 400–406. 10 indexed citations
11.
Vieths, Stefan, Domingo Barber, Martin D. Chapman, et al.. (2012). Establishment of recombinant major allergens Bet v 1 and Phl p 5a as Ph. Eur. reference standards and validation of ELISA methods for their measurement. Results from feasibility studies.. PubMed. 2012. 118–34. 24 indexed citations
12.
Xing, D., et al.. (2010). Collaborative study for the standardisation of the histamine sensitizing test in mice and the CHO cell-based assay for the residual toxicity testing of acellular pertussis vaccines.. PubMed. 2010(1). 51–63. 15 indexed citations
13.
Krämer, Beate, et al.. (2010). Collaborative study for validation of a serological potency assay for rabies vaccine (inactivated) for veterinary use.. PubMed. 2010(2). 37–55. 30 indexed citations
14.
Daas, A, et al.. (2007). Collaborative study for the establishment of erythropoietin BRP batch 3.. PubMed. 2007(1). 49–66. 7 indexed citations
15.
Longstaff, Colin, et al.. (2005). An international collaborative study to replace the 1st international standard for prekallikrein activator. Vox Sanguinis. 88(2). 143–151. 3 indexed citations
16.
Winsnes, Randi, et al.. (2004). Collaborative study for the validation of serological methods for potency testing of diphtheria toxoid vaccine (part 2).. PubMed. 2003(1). 35–68. 21 indexed citations
17.
Daas, A, et al.. (2002). Collaborative study for establishment of an HPLC-method for batch consistency control of recombinant interferon-alfa-2.. PubMed. 2002(1). 7–27. 1 indexed citations
18.
Winsnes, Randi, Dorothea Sesardic, A Daas, & Peter Rigsby. (2002). A Vero cell method for potency testing of diphtheria vaccines.. PubMed. 111. 141–8. 9 indexed citations
19.
Daas, A, et al.. (2002). Collaborative study for the establishment of a European Pharmacopoeia Biological Reference Preparation for Clostridia antiserum for serological potency testing of veterinary clostridial vaccines.. PubMed. 111. 171–80. 3 indexed citations
20.
Winsnes, Randi, et al.. (1999). Serological assays as alternatives to the Ph Eur challenge test for batch release of tetanus vaccines for human use.. PubMed. 101. 277–88. 20 indexed citations

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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