Eva Münster

30 papers receiving 509 citations

Peers

Eva Münster
Comparison fields: 5 of 104
  • Medical Laboratory Technology 24
  • Health 80
  • General Health Professions 208
  • Pharmacology 87
  • Radiological and Ultrasound Technology 25
Replace Melek Ardahan with:
Melek Ardahan Türkiye
Sanja Kocić Serbia
Christina Malmose Stapelfeldt Denmark
Pål Joranger Norway
Amy Laura Arnold United States
Anne Pohrt Germany
Angela Farr United Kingdom
Estela Cristina Carneseca Brazil
Khic-Houy Prang Australia
Elizabeth Brooks United States
Eva Münster relative to Melek Ardahan Türkiye Melek Ardahan's profile →
Citations per field
00.5×4.7×
Melek Ardahan · 1×
Citations per year

Countries citing papers authored by Eva Münster

Since Specialization
Citations

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

Fields of papers citing papers by Eva Münster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013102
2 201770
3 200959
4 201848
5 201146
6 200944
7 201919
8 201017
9 201914
10 200912
11 201811
12 20099
13 20199
14 20128
15 20198
16 20187
17
The PinK Study - Methodology of the Baseline Survey of a Prospective Cohort Study of Couples Undergoing Fertility Treatment
20147
18 20196
19 20186
20 20246

About Eva Münster

Eva Münster is a scholar working on General Health Professions, Epidemiology, Clinical Psychology, Public Health, Environmental and Occupational Health and Health, having authored 32 papers that have together received 533 indexed citations. Recurring topics across this work include Health and Medical Studies (8 papers), Chronic Disease Management Strategies (8 papers), Health disparities and outcomes (5 papers), Migration, Health and Trauma (4 papers), Global Health Care Issues (3 papers), Musculoskeletal pain and rehabilitation (3 papers), Palliative Care and End-of-Life Issues (3 papers) and Health Promotion and Cardiovascular Prevention (2 papers). The work is most often cited by research in Medical Laboratory Technology (24 citations), Health (80 citations), General Health Professions (208 citations), Pharmacology (87 citations) and Radiological and Ultrasound Technology (25 citations). Eva Münster has collaborated with scholars based in Germany, Denmark and Netherlands. Frequent co-authors include Klaus Weckbecker, Marie‐Therese Puth, Elke Ochsmann, Matthias Schmid, Thomas Kraus, Jessica Lang, Stephan Letzel, Heiko Rüger, André Michael Toschke and Michael Unrath. Their work appears in journals such as BMC Public Health, BMC Health Services Research, BMC Family Practice, PLoS ONE and Journal of Pain and Symptom Management.

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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