Eike Steidl
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
Papers in
- Genetics 10
- Glioma Diagnosis and Treatment 10
-
- Advanced MRI Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 2
- MRI in cancer diagnosis 2
- Co-authors
- Elke Hattingen (19 shared papers)Joachim P. Steinbach (12 shared papers)Michael Ronellenfitsch (6 shared papers)Katharina Filipski (6 shared papers)Oliver Bähr (4 shared papers)Gabriele D. Maurer (4 shared papers)Felix M. Mottaghy (2 shared papers)Norbert Galldiks (2 shared papers)
- Journals
- PLoS ONE (2 papers)Frontiers in Neurology (2 papers)Journal of Neuro-Oncology (2 papers)NMR in Biomedicine (2 papers)Journal of Clinical Medicine (2 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Eike Steidl
20 papers receiving 169 citations
Peers
Comparison fields: 5 of 34
- Genetics 101
- Radiology, Nuclear Medicine and Imaging 50
- Microbiology 1
- Neurology 16
- Cancer Research 15
Countries citing papers authored by Eike Steidl
This map shows the geographic impact of Eike Steidl'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 Eike Steidl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eike Steidl more than expected).
Fields of papers citing papers by Eike Steidl
This network shows the impact of papers produced by Eike Steidl. 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 Eike Steidl. The network helps show where Eike Steidl may publish in the future.
Co-authors
The 25 scholars most cited alongside Eike Steidl, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 37 | |
| 2 | 2019 | 27 | |
| 3 | 2016 | 23 | |
| 4 | 2022 | 16 | |
| 5 | 2022 | 14 | |
| 6 | 2021 | 8 | |
| 7 | 2019 | 7 | |
| 8 | 2021 | 6 | |
| 9 | 2025 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2019 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2021 | 1 |
About Eike Steidl
Eike Steidl is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Rheumatology, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 170 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Advanced MRI Techniques and Applications (4 papers), Glycogen Storage Diseases and Myoclonus (3 papers), Fetal and Pediatric Neurological Disorders (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), MRI in cancer diagnosis (2 papers), Neurological and metabolic disorders (2 papers) and Lanthanide and Transition Metal Complexes (2 papers). The work is most often cited by research in Genetics (101 citations), Radiology, Nuclear Medicine and Imaging (50 citations), Microbiology (1 citation), Neurology (16 citations) and Cancer Research (15 citations). Eike Steidl has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Elke Hattingen, Joachim P. Steinbach, Michael Ronellenfitsch, Katharina Filipski, Oliver Bähr, Gabriele D. Maurer, Felix M. Mottaghy, Norbert Galldiks, Jörg Steinbach and Karl‐Josef Langen. Their work appears in journals such as PLoS ONE, Frontiers in Neurology, Journal of Neuro-Oncology, NMR in Biomedicine and Journal of Clinical Medicine.
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.