Raphaela Muri

483 citations
22 papers · 306 · h-index 10

Impact in

    • Metabolism and Genetic Disorders
  • Neurology top 10%
    • Vestibular and auditory disorders
    • Brain Tumor Detection and Classification

Papers in

Raphaela Muri

22 papers receiving 303 citations

Peers

Raphaela Muri
Comparison fields: 5 of 64
  • Clinical Biochemistry 70
  • Neurology 70
  • Sensory Systems 33
  • Cellular and Molecular Neuroscience 62
  • Cognitive Neuroscience 60
Replace M. Poremba with:
M. Poremba Germany
Rika Soma Japan
Fangyang Jiao China
Jillian L. McKee United States
Jurre den Haan Netherlands
Andrea Sancesario Italy
Valeria Saccà United States
Andreas Traschütz Germany
H. Jeremy Bockholt United States
Raphaela Muri relative to M. Poremba Germany M. Poremba's profile →
Citations per field
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M. Poremba · 1×
Citations per year

Countries citing papers authored by Raphaela Muri

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Raphaela Muri Line = papers co-authored together Raphaela Muri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199471
2 202159
3 201740
4 202214
5 202013
6 202213
7 202311
8 202411
9 202110
10 20229
11 20238
12 20207
13 20247
14 20237
15 20207
16 20205
17
[Iodine excretion in 24-hour urine].
19744
18 20233
19 20242
20 20222

About Raphaela Muri

Raphaela Muri is a scholar working on Clinical Biochemistry, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Physiology and Neurology, having authored 22 papers that have together received 306 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (11 papers), Diet and metabolism studies (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Advanced MRI Techniques and Applications (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Ultrasound Imaging and Elastography (1 paper), Ion channel regulation and function (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Clinical Biochemistry (70 citations), Neurology (70 citations), Sensory Systems (33 citations), Cellular and Molecular Neuroscience (62 citations) and Cognitive Neuroscience (60 citations). Raphaela Muri has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include Thomas Knöpfel, Roman Trepp, Roland Wiest, Michel Hochuli, Regula Everts, Christian Rummel, Andrea Kegel, Nathalie Giroud, Sarah Hirsiger and Norbert Dillier. Their work appears in journals such as NeuroImage Clinical, Journal of Inherited Metabolic Disease, Clinical Neuroradiology, Annals of Nutrition and Metabolism and American Journal of Clinical 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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