Martin Perrig

23 papers receiving 302 citations

Peers

Martin Perrig
Comparison fields: 5 of 55
  • Family Practice 18
  • Cardiology and Cardiovascular Medicine 65
  • Geriatrics and Gerontology 10
  • Pulmonary and Respiratory Medicine 63
  • Public Health, Environmental and Occupational Health 50
Replace Luis García-Olmos with:
Luis García-Olmos Spain
Rita Simone Lopes Moreira Brazil
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John Edington Australia
Gretchen Benson United States
Dominic Awuah United States
Kelsey Han United States
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Citations per field
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Citations per year

Countries citing papers authored by Martin Perrig

Since Specialization
Citations

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

Fields of papers citing papers by Martin Perrig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201087
2 200353
3 201838
4 201630
5 200115
6 201415
7 201515
8 201112
9 201611
10 200710
11 20227
12 20135
13 20133
14 20203
15 20213
16 20232
17 20222
18 20181
19 20081
20 20241

About Martin Perrig

Martin Perrig is a scholar working on Surgery, Epidemiology, General Health Professions, Small Animals and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 317 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (2 papers), Musculoskeletal Disorders and Rehabilitation (2 papers), Nutrition and Health in Aging (2 papers), Cardiovascular Syncope and Autonomic Disorders (2 papers), Health and Medical Studies (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Higher Education Learning Practices (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Family Practice (18 citations), Cardiology and Cardiovascular Medicine (65 citations), Geriatrics and Gerontology (10 citations), Pulmonary and Respiratory Medicine (63 citations) and Public Health, Environmental and Occupational Health (50 citations). Martin Perrig has collaborated with scholars based in Switzerland, Austria and Netherlands. Frequent co-authors include Andreas W. Schoenenberger, Urs E. Studer, Hansjörg Danuser, Ulrich Bürgi, Paul Erné, Werner Hochreiter, Andreas E. Stuck, Sören Huwendiek, Ardan M. Saguner and U Schiemann. Their work appears in journals such as Nutrition, BMC Medical Education, Medical Teacher, International Journal of Environmental Research and Public Health and European Journal of Nutrition.

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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