A. Wessling

432 citations
17 papers · 369 · h-index 10

Impact in

Papers in

A. Wessling

17 papers receiving 343 citations

Peers

A. Wessling
Comparison fields: 5 of 76
  • Applied Microbiology and Biotechnology 50
  • Geriatrics and Gerontology 75
  • Family Practice 31
  • Medical Terminology 2
  • Toxicology 18
Replace Ylva Tomson with:
Ylva Tomson Sweden
Jutta Krappweis Germany
Steve Hutchison United States
S. Troy McMullin United States
Jerry Avorn United States
Veronica Sendersky United States
Natalie Gauld New Zealand
Judith Mackson Australia
John Papastergiou Canada
R. Fijn Netherlands
A. Wessling relative to Ylva Tomson Sweden Ylva Tomson's profile →
Citations per field
00.5×1.5×2.1×
Ylva Tomson · 1×
Citations per year

Countries citing papers authored by A. Wessling

Since Specialization
Citations

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

Fields of papers citing papers by A. Wessling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1996106
2 199044
3 198632
4 198531
5 199125
6 199421
7 198721
8 199519
9 199417
10 199116
11
[The Gotland's study: high prescription rate of diabetic agents but also high morbidity].
19859
12 19908
13 19997
14 19875
15
Primary non-compliance with automated prescription transmittals from health care centres in Sweden
20025
16 20052
17
[Steady increase in antibiotic prescriptions to children. What are we treating?].
19951

About A. Wessling

A. Wessling is a scholar working on Economics and Econometrics, Family Practice, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 17 papers that have together received 369 indexed citations. Recurring topics across this work include Medication Adherence and Compliance (3 papers), Respiratory and Cough-Related Research (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Blood Pressure and Hypertension Studies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Pharmaceutical studies and practices (2 papers), Asthma and respiratory diseases (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (50 citations), Geriatrics and Gerontology (75 citations), Family Practice (31 citations), Medical Terminology (2 citations) and Toxicology (18 citations). A. Wessling has collaborated with scholars based in Sweden, New Zealand and Norway. Frequent co-authors include Arne Melander, Juan Merlo, Ulf Bergman, Göran Boëthius, B Westerholm, Göran Tomson, Ylva Tomson, Kathryn Griffiths, F. Sj�qvist and P. K. M. Lunde. Their work appears in journals such as European Journal of Clinical Pharmacology, Acta Paediatrica, Journal of Clinical Pharmacy and Therapeutics, Der Nervenarzt and Lund University Publications (Lund University).

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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