Daniel Paech
Impact in
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- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Health Informatics top 2%
Papers in
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- Advanced MRI Techniques and Applications 35
- MRI in cancer diagnosis 22
- Medical Imaging Techniques and Applications 13
- Radiomics and Machine Learning in Medical Imaging 8
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- Lanthanide and Transition Metal Complexes 35
- Co-authors
- Mark E. Ladd (46 shared papers)Alexander Radbruch (47 shared papers)Peter Bachert (32 shared papers)Heinz‐Peter Schlemmer (42 shared papers)Moritz Zaiß (18 shared papers)Johannes Windschuh (13 shared papers)Sebastian Bickelhaupt (24 shared papers)Martin Bendszus (25 shared papers)
- Journals
- Investigative Radiology (12 papers)Magnetic Resonance in Medicine (10 papers)European Radiology (6 papers)NMR in Biomedicine (6 papers)Radiology (5 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Daniel Paech
116 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 111
- Radiology, Nuclear Medicine and Imaging 1.5k
- Health Informatics 66
- Biophysics 247
- Materials Chemistry 1.1k
- Genetics 189
Countries citing papers authored by Daniel Paech
This map shows the geographic impact of Daniel Paech'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 Daniel Paech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Paech more than expected).
Fields of papers citing papers by Daniel Paech
This network shows the impact of papers produced by Daniel Paech. 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 Daniel Paech. The network helps show where Daniel Paech may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Paech, 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 185 | |
| 2 | 2015 | 174 | |
| 3 | 2018 | 131 | |
| 4 | 2017 | 114 | |
| 5 | 2019 | 113 | |
| 6 | 2016 | 110 | |
| 7 | 2018 | 99 | |
| 8 | 2019 | 97 | |
| 9 | 2018 | 81 | |
| 10 | 2011 | 81 | |
| 11 | 2016 | 73 | |
| 12 | 2017 | 73 | |
| 13 | 2016 | 72 | |
| 14 | 2019 | 71 | |
| 15 | 2017 | 69 | |
| 16 | 2014 | 67 | |
| 17 | 2018 | 61 | |
| 18 | 2019 | 59 | |
| 19 | 2019 | 57 | |
| 20 | 2017 | 56 |
About Daniel Paech
Daniel Paech is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Genetics, Neurology and Oncology, having authored 124 papers that have together received 3.0k indexed citations. Recurring topics across this work include Lanthanide and Transition Metal Complexes (35 papers), Advanced MRI Techniques and Applications (35 papers), MRI in cancer diagnosis (22 papers), Medical Imaging Techniques and Applications (13 papers), Glioma Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced NMR Techniques and Applications (6 papers) and Atomic and Subatomic Physics Research (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.5k citations), Health Informatics (66 citations), Biophysics (247 citations), Materials Chemistry (1.1k citations) and Genetics (189 citations). Daniel Paech has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Mark E. Ladd, Alexander Radbruch, Peter Bachert, Heinz‐Peter Schlemmer, Moritz Zaiß, Johannes Windschuh, Sebastian Bickelhaupt, Martin Bendszus, Jan‐Eric Meissner and Wolfgang Wick. Their work appears in journals such as Investigative Radiology, Magnetic Resonance in Medicine, European Radiology, NMR in Biomedicine 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.