A. Uldall

46 papers receiving 585 citations

Peers

A. Uldall
Comparison fields: 5 of 119
  • Statistics, Probability and Uncertainty 136
  • Nephrology 102
  • Physiology 261
  • Medical Laboratory Technology 12
  • Statistics and Probability 48
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Ilenia Infusino Italy
Fernando Cava Spain
Una Ørvim Sølvik Norway
Joan H. Howanitz United States
Virtudes Álvarez Spain
Shahram Shahangian United States
Joana Minchinela Spain
J. Büttner Germany
Peter Felding Denmark
Danielle B Freedman United Kingdom
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Citations per year

Countries citing papers authored by A. Uldall

Since Specialization
Citations

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

Fields of papers citing papers by A. Uldall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004323
2 200439
3 198121
4 199319
5
Quality assurance in clinical chemistry.
198716
6 199414
7 200413
8 198912
9 200411
10 199910
11 198610
12 19838
13 19818
14 19848
15 20017
16 19937
17 20016
18 19855
19 19925
20
Kits for the diagnosis of infectious mononucleosis compared with the Paul-Bunnell test.
19905

About A. Uldall

A. Uldall is a scholar working on Statistics, Probability and Uncertainty, Chemical Health and Safety, Physiology, Nephrology and Medical Laboratory Technology, having authored 54 papers that have together received 622 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (26 papers), Scientific Measurement and Uncertainty Evaluation (6 papers), Meta-analysis and systematic reviews (5 papers), Pesticide Residue Analysis and Safety (5 papers), Renal function and acid-base balance (5 papers), Health and Medical Research Impacts (3 papers), Kidney Stones and Urolithiasis Treatments (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (136 citations), Nephrology (102 citations), Physiology (261 citations), Medical Laboratory Technology (12 citations) and Statistics and Probability (48 citations). A. Uldall has collaborated with scholars based in Denmark, Sweden and Finland. Frequent co-authors include Per Hyltoft Petersen, Pål Rustad, Andreas Mårtensson, Veli Kairisto, Peter Felding, Leifur Franzson, Heidi Steensland, Ari Lahti, P. Simonsson and Ole Blaabjerg. Their work appears in journals such as Scandinavian Journal of Clinical and Laboratory Investigation, Upsala Journal of Medical Sciences, Accreditation and Quality Assurance, Clinica Chimica Acta and European Journal Of Haematology.

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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