Martin Gajdošík
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- Advanced MRI Techniques and Applications 25
- Spectroscopy top 10%
- Advanced NMR Techniques and Applications 10
- Biophysics top 10%
- Electron Spin Resonance Studies 3
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- Liver Disease Diagnosis and Treatment 10
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- NMR spectroscopy and applications 4
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- Diet and metabolism studies 4
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- Metabolomics and Mass Spectrometry Studies 3
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- Cardiovascular Function and Risk Factors 3
- Co-authors
- Siegfried TrattnigMartin KrššákWolfgang BognerKarl LandheerMarek ChmelíkChristoph JuchemLadislav ValkovičMichael Krebs
- Journals
- American Journal of Clinical Nutrition (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Diabetes Care (1 paper)
- Partner nations
- AustriaUnited StatesSlovakia
In The Last Decade
Martin Gajdošík
32 papers receiving 446 citations
Peers
Comparison fields: 5 of 62
- Radiology, Nuclear Medicine and Imaging 262
- Spectroscopy 127
- Biophysics 32
- Endocrinology, Diabetes and Metabolism 87
- Epidemiology 129
Countries citing papers authored by Martin Gajdošík
This map shows the geographic impact of Martin Gajdošík'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 Martin Gajdošík with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Gajdošík more than expected).
Fields of papers citing papers by Martin Gajdošík
This network shows the impact of papers produced by Martin Gajdošík. 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 Martin Gajdošík. The network helps show where Martin Gajdošík may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Gajdošík, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 29 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 42 | |
| 14 | 2019 | 25 | |
| 15 | 2019 | 17 | |
| 16 | 2018 | 13 | |
| 17 | 2017 | 36 | |
| 18 | 2017 | 14 | |
| 19 | 2015 | 18 | |
| 20 | 2014 | 9 |
About Martin Gajdošík
Martin Gajdošík is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics and Spectroscopy, having authored 32 papers that have together received 448 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (25 papers), Liver Disease Diagnosis and Treatment (10 papers), Advanced NMR Techniques and Applications (10 papers), NMR spectroscopy and applications (4 papers), Diet and metabolism studies (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Electron Spin Resonance Studies (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (262 citations), Spectroscopy (127 citations) and Biophysics (32 citations). Martin Gajdošík has collaborated with scholars based in Austria, United States and Slovakia. Frequent co-authors include Siegfried Trattnig, Martin Krššák, Wolfgang Bogner, Karl Landheer, Marek Chmelík, Christoph Juchem, Ladislav Valkovič, Michael Krebs, Michal Považan and Stephan Gruber. Their work appears in journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.