Paul Eichinger
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
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- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Medical Imaging Techniques and Applications
- Ultrasound Imaging and Elastography
Papers in
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- Ultrasound Imaging and Elastography 5
- Radiomics and Machine Learning in Medical Imaging 3
- Advanced MRI Techniques and Applications 3
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- Multiple Sclerosis Research Studies 8
- Co-authors
- Benedikt Wiestler (11 shared papers)Claus Zimmer (11 shared papers)Mark Mühlau (8 shared papers)Jan S. Kirschke (7 shared papers)Bjoern Menze (3 shared papers)Haike Zhang (3 shared papers)Esther Alberts (2 shared papers)Viola Pongratz (2 shared papers)
In The Last Decade
Paul Eichinger
12 papers receiving 310 citations
Peers
Comparison fields: 5 of 45
- Genetics 97
- Radiology, Nuclear Medicine and Imaging 201
- Pathology and Forensic Medicine 109
- Health Informatics 5
- Neurology 30
Countries citing papers authored by Paul Eichinger
This map shows the geographic impact of Paul Eichinger'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 Paul Eichinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Eichinger more than expected).
Fields of papers citing papers by Paul Eichinger
This network shows the impact of papers produced by Paul Eichinger. 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 Paul Eichinger. The network helps show where Paul Eichinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Eichinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 58 | |
| 2 | 2018 | 44 | |
| 3 | 2019 | 43 | |
| 4 | 2020 | 40 | |
| 5 | 2020 | 38 | |
| 6 | 2020 | 29 | |
| 7 | 2019 | 27 | |
| 8 | 2017 | 15 | |
| 9 | 2017 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2020 | 4 | |
| 12 | 2021 | 1 |
About Paul Eichinger
Paul Eichinger is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Genetics, Rheumatology and Oncology, having authored 12 papers that have together received 314 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), Ultrasound Imaging and Elastography (5 papers), Systemic Lupus Erythematosus Research (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced MRI Techniques and Applications (3 papers), Glioma Diagnosis and Treatment (3 papers), Polyomavirus and related diseases (2 papers) and Ultrasound and Hyperthermia Applications (2 papers). The work is most often cited by research in Genetics (97 citations), Radiology, Nuclear Medicine and Imaging (201 citations), Pathology and Forensic Medicine (109 citations), Health Informatics (5 citations) and Neurology (30 citations). Paul Eichinger has collaborated with scholars based in Germany, Belgium and India. Frequent co-authors include Benedikt Wiestler, Claus Zimmer, Mark Mühlau, Jan S. Kirschke, Bjoern Menze, Haike Zhang, Esther Alberts, Viola Pongratz, Jens Gempt and Matthias Bussas. Their work appears in journals such as Investigative Radiology, Cancers, Scientific Reports, Neurotherapeutics and Insights into Imaging.
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.