Raphaela Muri
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
-
- Metabolism and Genetic Disorders 12
-
- Thyroid Cancer Diagnosis and Treatment 2
- Co-authors
- Thomas Knöpfel (1 shared paper)Roman Trepp (14 shared papers)Roland Wiest (8 shared papers)Regula Everts (13 shared papers)Christian Rummel (5 shared papers)Michel Hochuli (11 shared papers)Richard McKinley (3 shared papers)Lorenz Grunder (4 shared papers)
- Journals
- NeuroImage Clinical (4 papers)Journal of Inherited Metabolic Disease (3 papers)Clinical Neuroradiology (1 paper)Brain (1 paper)Brain Communications (1 paper)
- Partner nations
- SwitzerlandAustriaUnited States
In The Last Decade
Raphaela Muri
23 papers receiving 378 citations
Peers
Comparison fields: 5 of 46
- Clinical Biochemistry 87
- Health Informatics 9
- Neurology 29
- Computer Vision and Pattern Recognition 83
- Cellular and Molecular Neuroscience 48
Countries citing papers authored by Raphaela Muri
This map shows the geographic impact of Raphaela Muri'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 Raphaela Muri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaela Muri more than expected).
Fields of papers citing papers by Raphaela Muri
This network shows the impact of papers produced by Raphaela Muri. 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 Raphaela Muri. The network helps show where Raphaela Muri may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaela Muri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 71 | |
| 2 | 2021 | 62 | |
| 3 | 2019 | 59 | |
| 4 | 2017 | 41 | |
| 5 | 2022 | 16 | |
| 6 | 2024 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2024 | 10 | |
| 15 | 2020 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2020 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 2 | |
| 20 | 2024 | 2 |
About Raphaela Muri
Raphaela Muri is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Psychiatry and Mental health, Safety, Risk, Reliability and Quality and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 388 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (12 papers), Migraine and Headache Studies (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Telemedicine and Telehealth Implementation (1 paper), Hearing Loss and Rehabilitation (1 paper), Technology Use by Older Adults (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Clinical Biochemistry (87 citations), Health Informatics (9 citations), Neurology (29 citations), Computer Vision and Pattern Recognition (83 citations) and Cellular and Molecular Neuroscience (48 citations). Raphaela Muri has collaborated with scholars based in Switzerland, Austria and United States. Frequent co-authors include Thomas Knöpfel, Roman Trepp, Roland Wiest, Regula Everts, Christian Rummel, Michel Hochuli, Richard McKinley, Lorenz Grunder, Anke Salmen and Franca Wagner. Their work appears in journals such as NeuroImage Clinical, Journal of Inherited Metabolic Disease, Clinical Neuroradiology, Brain and Brain Communications.
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.