S. Mueller

1.3k citations
50 papers · 975 · h-index 15

Impact in

Papers in

S. Mueller

48 papers receiving 952 citations

Peers

S. Mueller
Comparison fields: 5 of 86
  • Family Practice 56
  • Internal Medicine 73
  • Cardiology and Cardiovascular Medicine 422
  • Drug Discovery 1
  • Ophthalmology 35
Replace Ulf Maywald with:
Ulf Maywald Germany
Warren Cowell United Kingdom
Mohammed Danjuma Qatar
Ambarish Pandey United States
Neeral L. Shah United States
Kristin M. Aakre Norway
Thomas A. Mavrakanas Canada
Thomas J. Bunz United States
Harm Wienbergen Germany
Kenneth K.C. Lee Hong Kong
S. Mueller relative to Ulf Maywald Germany Ulf Maywald's profile →
Citations per field
00.5×11.7×
Ulf Maywald · 1×
Citations per year

Countries citing papers authored by S. Mueller

Since Specialization
Citations

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

Fields of papers citing papers by S. Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012277
2 201298
3 201683
4 201656
5 201552
6 201648
7 200545
8 201535
9 201729
10 201426
11 201824
12 201522
13 201220
14 201817
15 201815
16 202014
17
Effects of Single Pill Combinations Compared to Identical Multi Pill Therapy on Outcomes in Hypertension, Dyslipidemia and Secondary Cardiovascular Prevention: The START-Study
202212
18 202012
19 201811
20 201911

About S. Mueller

S. Mueller is a scholar working on Family Practice, Cardiology and Cardiovascular Medicine, Economics and Econometrics, Pediatrics, Perinatology and Child Health and Physiology, having authored 50 papers that have together received 975 indexed citations. Recurring topics across this work include Medication Adherence and Compliance (11 papers), Atrial Fibrillation Management and Outcomes (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Pharmaceutical studies and practices (4 papers), Diabetes Treatment and Management (3 papers), Pharmaceutical Economics and Policy (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Asthma and respiratory diseases (3 papers). The work is most often cited by research in Family Practice (56 citations), Internal Medicine (73 citations), Cardiology and Cardiovascular Medicine (422 citations), Drug Discovery (1 citation) and Ophthalmology (35 citations). S. Mueller has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Wilke, Ulf Maywald, Rupert Bauersachs, Roland Linder, M. Pfannkuche, Frank Verheyen, Thomas Kohlmann, A. Groth, G. Breithardt and Andreas Fuchs. Their work appears in journals such as Value in Health, BMC Infectious Diseases, Diabetes Therapy, Cardiovascular Diabetology and Respiratory Medicine.

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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