Adam Uldall

790 citations
52 papers · 653 · h-index 10

Impact in

Papers in

Adam Uldall

46 papers receiving 609 citations

Peers

Adam Uldall
Comparison fields: 5 of 116
  • Statistics, Probability and Uncertainty 105
  • Nephrology 78
  • Physiology 241
  • Medical Laboratory Technology 9
  • Statistics and Probability 43
Replace Josep Maria Queraltó with:
Josep Maria Queraltó Spain
Shahram Shahangian United States
Johannes Büttner Germany
Rodney W Forsman United States
Philip Broughton United Kingdom
Joana Minchinela Spain
Ilenia Infusino Italy
Richard C. Bowyer United Kingdom
Danielle B Freedman United Kingdom
Margarita Sánchez Simón Spain
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Citations per field
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Citations per year

Countries citing papers authored by Adam Uldall

Since Specialization
Citations

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

Fields of papers citing papers by Adam Uldall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004341
2 200439
3 198123
4
Quality assurance in clinical chemistry.
198720
5 199319
6 199416
7 200414
8 198912
9 200411
10 199910
11 19839
12 19869
13 19818
14 19848
15 19937
16 20017
17 20016
18
Kits for the diagnosis of infectious mononucleosis compared with the Paul-Bunnell test.
19906
19
The reliability of pregnancy tests performed by trained and untrained persons.
19776
20 19855

About Adam Uldall

Adam Uldall is a scholar working on Physiology, Statistics, Probability and Uncertainty, Nephrology, Statistics and Probability and Hematology, having authored 52 papers that have together received 653 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (24 papers), Renal function and acid-base balance (6 papers), Meta-analysis and systematic reviews (5 papers), Scientific Measurement and Uncertainty Evaluation (5 papers), Pesticide Residue Analysis and Safety (4 papers), Kidney Stones and Urolithiasis Treatments (3 papers), Statistical Methods in Clinical Trials (3 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (105 citations), Nephrology (78 citations), Physiology (241 citations), Medical Laboratory Technology (9 citations) and Statistics and Probability (43 citations). Adam Uldall has collaborated with scholars based in Denmark, Sweden and Finland. Frequent co-authors include Per Hyltoft Petersen, Pål Rustad, Leifur Franzson, Andreas Mårtensson, Veli Kairisto, Peter Felding, Heidi Steensland, P. Simonsson, Ari Lahti 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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