Stephanie Mangesius

937 citations
47 papers · 615 · h-index 12

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments

Papers in

    • Advanced Neuroimaging Techniques and Applications 6
    • Advanced MRI Techniques and Applications 5
    • Radiomics and Machine Learning in Medical Imaging 5
    • Neurological disorders and treatments 7
    • Parkinson's Disease Mechanisms and Treatments 7

Stephanie Mangesius

40 papers receiving 612 citations

Peers

Stephanie Mangesius
Comparison fields: 5 of 86
  • Genetics 188
  • Neurology 187
  • Radiology, Nuclear Medicine and Imaging 172
  • Health Informatics 8
  • Neurology 47
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Citations per field
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Citations per year

Countries citing papers authored by Stephanie Mangesius

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Mangesius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014140
2 201561
3 202144
4 201739
5 202134
6 202228
7 202125
8 202024
9 202021
10 202018
11 202118
12 202215
13 202210
14 202010
15 20219
16 20219
17 20229
18 20229
19 20238
20 20208

About Stephanie Mangesius

Stephanie Mangesius is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Genetics, Pulmonary and Respiratory Medicine and Psychiatry and Mental health, having authored 47 papers that have together received 615 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Neurological disorders and treatments (7 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Advanced MRI Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Alzheimer's disease research and treatments (4 papers) and Brain Metastases and Treatment (4 papers). The work is most often cited by research in Genetics (188 citations), Neurology (187 citations), Radiology, Nuclear Medicine and Imaging (172 citations), Health Informatics (8 citations) and Neurology (47 citations). Stephanie Mangesius has collaborated with scholars based in Austria, United Kingdom and France. Frequent co-authors include Elke R. Gizewski, Vincent Gleize, Amithys Rahimian, Marc Sanson, Karima Mokhtari, Marianne Labussière, Lukas Haider, Astrid Grams, Ruth Steiger and Klaus Seppi. Their work appears in journals such as Cancers, Parkinsonism & Related Disorders, Journal of Neural Transmission, Journal of Neurology Neurosurgery & Psychiatry and European Radiology.

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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