Eva Münster

30 papers receiving 538 citations

Peers

Eva Münster
Comparison fields: 5 of 100
  • Medical Laboratory Technology 12
  • Health 43
  • General Health Professions 107
  • Pharmacology 61
  • Radiological and Ultrasound Technology 14
Replace Angela Farr with:
Angela Farr United Kingdom
David Samoocha Netherlands
Estela Cristina Carneseca Brazil
Farzane Ahmadi Iran
Elizabeth Hoon Australia
Ana María Rodríguez United States
Mohammad Hossein YektaKooshali Iran
Elizabeth Palmer Kelly United States
Dan Y. Bonneh Israel
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Citations per field
00.5×4.8×
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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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013106
2 201774
3 200964
4 201851
5 200947
6 201147
7 201921
8 201017
9 201916
10 200913
11 201812
12 20099
13 20249
14 20189
15 20129
16 20199
17 20198
18
The PinK Study - Methodology of the Baseline Survey of a Prospective Cohort Study of Couples Undergoing Fertility Treatment
20147
19 20196
20 20186

About Eva Münster

Eva Münster is a scholar working on General Health Professions, Epidemiology, Public Health, Environmental and Occupational Health, Clinical Psychology and Surgery, having authored 33 papers that have together received 567 indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (3 papers), Health and Medical Studies (3 papers), Chronic Disease Management Strategies (2 papers), Global Health Care Issues (2 papers), Employment and Welfare Studies (2 papers), Medical Practices and Rehabilitation (1 paper), Allergic Rhinitis and Sensitization (1 paper) and Housing, Finance, and Neoliberalism (1 paper). The work is most often cited by research in Medical Laboratory Technology (12 citations), Health (43 citations), General Health Professions (107 citations), Pharmacology (61 citations) and Radiological and Ultrasound Technology (14 citations). Eva Münster has collaborated with scholars based in Germany, Denmark and United Kingdom. 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 Joachim Schüz. Their work appears in journals such as BMC Public Health, BMC Health Services Research, PLoS ONE, BMC Family Practice and International Archives of Occupational and Environmental Health.

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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