Daniel Pewsner
Impact in
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- Complementary and Alternative Medicine Studies
Papers in
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- Health Sciences Research and Education 2
- Health, Medicine and Society 1
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- Heart Failure Treatment and Management 1
- Blood Pressure and Hypertension Studies 1
- Co-authors
- Matthias Egger (6 shared papers)Peter Jüni (4 shared papers)Markus Battaglia (3 shared papers)Karin Huwiler-Müntener (1 shared paper)Jonathan A C Sterne (1 shared paper)Linda Nartey (1 shared paper)Aijing Shang (1 shared paper)Heiner C. Bucher (4 shared papers)
- Journals
- Annals of Internal Medicine (1 paper)The Lancet (1 paper)BMJ (1 paper)Clinica Chimica Acta (1 paper)Swiss Medical Forum ‒ Schweizerisches Medizin-Forum (2 papers)
- Partner nations
- SwitzerlandUnited KingdomEstonia
In The Last Decade
Daniel Pewsner
9 papers receiving 928 citations
Peers
Comparison fields: 5 of 126
- Complementary and alternative medicine 396
- Complementary and Manual Therapy 58
- Statistics, Probability and Uncertainty 98
- Cardiology and Cardiovascular Medicine 254
- Family Practice 20
Countries citing papers authored by Daniel Pewsner
This map shows the geographic impact of Daniel Pewsner'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 Daniel Pewsner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Pewsner more than expected).
Fields of papers citing papers by Daniel Pewsner
This network shows the impact of papers produced by Daniel Pewsner. 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 Daniel Pewsner. The network helps show where Daniel Pewsner may publish in the future.
Co-authors
The 18 scholars most cited alongside Daniel Pewsner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 488 | |
| 2 | 2007 | 204 | |
| 3 | 2005 | 124 | |
| 4 | 2004 | 122 | |
| 5 | 2006 | 50 | |
| 6 | 2004 | 42 | |
| 7 | 2001 | 2 | |
| 8 | 2001 | 1 | |
| 9 | 2001 | 1 | |
| 10 | 2001 | 1 | |
| 11 | 2001 | 0 |
About Daniel Pewsner
Daniel Pewsner is a scholar working on General Health Professions, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Statistics, Probability and Uncertainty and Surgery, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Health Sciences Research and Education (2 papers), Meta-analysis and systematic reviews (2 papers), Health Promotion and Cardiovascular Prevention (1 paper), Malaria Research and Control (1 paper), Heart Failure Treatment and Management (1 paper), Blood Pressure and Hypertension Studies (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Health, Medicine and Society (1 paper). The work is most often cited by research in Complementary and alternative medicine (396 citations), Complementary and Manual Therapy (58 citations), Statistics, Probability and Uncertainty (98 citations), Cardiology and Cardiovascular Medicine (254 citations) and Family Practice (20 citations). Daniel Pewsner has collaborated with scholars based in Switzerland, United Kingdom and Estonia. Frequent co-authors include Matthias Egger, Peter Jüni, Markus Battaglia, Karin Huwiler-Müntener, Jonathan A C Sterne, Linda Nartey, Aijing Shang, Heiner C. Bucher, Lucas M. Bachmann and Arthur Marx. Their work appears in journals such as Annals of Internal Medicine, The Lancet, BMJ, Clinica Chimica Acta and Swiss Medical Forum ‒ Schweizerisches Medizin-Forum.
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.