Atkinson Aj

807 citations
10 papers · 584 · h-index 6

Impact in

Papers in

Atkinson Aj

10 papers receiving 545 citations

Peers

Atkinson Aj
Comparison fields: 5 of 96
  • Pharmacology 81
  • Transplantation 19
  • Statistics and Probability 64
  • Nephrology 38
  • Pediatrics, Perinatology and Child Health 84
Replace Madelé van Dyk with:
Madelé van Dyk Australia
Shashi Amur United States
Michael V. Holmes United Kingdom
Hugo Maas Germany
Mitsutaka Takada Japan
Gëzim Lahu United States
Richard M. Weinshilboum United States
C. Michael Stein United States
Teun M. Post Netherlands
Hideki Shimomura Japan
Atkinson Aj relative to Madelé van Dyk Australia Madelé van Dyk's profile →
Citations per field
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Citations per year

Countries citing papers authored by Atkinson Aj

Since Specialization
Citations

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

Fields of papers citing papers by Atkinson Aj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2001342
2 2008132
3
Kinetic analysis of D-xylose absorption in normal subjects and in patients with chronic renal failure.
198347
4
Hemoperfusion removal of digoxin from dogs.
197827
5 196919
6
Pharmacokinetics of N-acetylprocainamide.
19865
7
Clinical use of blood levels of cardiac drugs.
19734
8 20084
9
Etiological factors in ulcerative colitis: the role of hypersensitivity.
19632
10
Antiaarhythmic therapy with procainamide.
19772

About Atkinson Aj

Atkinson Aj is a scholar working on Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health, Clinical Biochemistry, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 584 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Metabolism and Genetic Disorders (2 papers), Heart Failure Treatment and Management (2 papers), Pharmaceutical studies and practices (2 papers), Potassium and Related Disorders (1 paper), Epilepsy research and treatment (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Pharmacology (81 citations), Transplantation (19 citations), Statistics and Probability (64 citations), Nephrology (38 citations) and Pediatrics, Perinatology and Child Health (84 citations). Atkinson Aj has collaborated with scholars based in United States. Frequent co-authors include LJ Lesko, Yi Zhang, Huang Sm, GJ Burckart, Shuai Xiao, JS Leeder, L Zhang, T.‐C. Wu, Chi‐Hang Lee and Susamma Abraham. Their work appears in journals such as Clinical Pharmacology & Therapeutics, The Annual Review of Pharmacology and Toxicology, American Journal of Physiology-Legacy Content and PubMed.

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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