Paul Eichinger
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies
Papers in
-
- Multiple Sclerosis Research Studies 6
-
- Radiomics and Machine Learning in Medical Imaging 2
- Ultrasound Imaging and Elastography 2
- 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)
- Journals
- Investigative Radiology (2 papers)Neurotherapeutics (1 paper)NeuroImage Clinical (1 paper)RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren (1 paper)Radiology (1 paper)
- Partner nations
- GermanySwitzerlandBelgium
In The Last Decade
Paul Eichinger
15 papers receiving 353 citations
Peers
Comparison fields: 5 of 53
- Genetics 89
- Pathology and Forensic Medicine 106
- Radiology, Nuclear Medicine and Imaging 124
- Neurology 28
- Health Informatics 3
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 | 61 | |
| 2 | 2020 | 48 | |
| 3 | 2018 | 48 | |
| 4 | 2019 | 43 | |
| 5 | 2020 | 39 | |
| 6 | 2020 | 32 | |
| 7 | 2019 | 27 | |
| 8 | 2017 | 17 | |
| 9 | 2018 | 10 | |
| 10 | 2016 | 9 | |
| 11 | 2017 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2021 | 1 | |
| 15 | 2014 | 1 |
About Paul Eichinger
Paul Eichinger is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 360 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (6 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Ultrasound Imaging and Elastography (2 papers), Ion channel regulation and function (2 papers), Polyomavirus and related diseases (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Ion Channels and Receptors (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (89 citations), Pathology and Forensic Medicine (106 citations), Radiology, Nuclear Medicine and Imaging (124 citations), Neurology (28 citations) and Health Informatics (3 citations). Paul Eichinger has collaborated with scholars based in Germany, Switzerland and Belgium. 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, Neurotherapeutics, NeuroImage Clinical, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren and 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.