Marcus Unterrainer
- Genetics top 1%
- Glioma Diagnosis and Treatment 39
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- Medical Imaging Techniques and Applications 34
- Radiomics and Machine Learning in Medical Imaging 26
- Radiopharmaceutical Chemistry and Applications 24
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- Prostate Cancer Treatment and Research 20
- Neurology top 5%
- Oncology top 10%
- Peptidase Inhibition and Analysis 10
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- Meningioma and schwannoma management 14
- Neuroendocrine Tumor Research Advances 12
- Co-authors
- Peter BartensteinNathalie L. AlbertVera WenterMatthias BrendelHarun IlhanClaus BelkaBogdana SuchorskaMaximilian Niyazi
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Marcus Unterrainer
130 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 102
- Genetics 763
- Radiology, Nuclear Medicine and Imaging 1.1k
- Pulmonary and Respiratory Medicine 591
- Neurology 265
- Oncology 450
Countries citing papers authored by Marcus Unterrainer
This map shows the geographic impact of Marcus Unterrainer'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 Marcus Unterrainer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Unterrainer more than expected).
Fields of papers citing papers by Marcus Unterrainer
This network shows the impact of papers produced by Marcus Unterrainer. 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 Marcus Unterrainer. The network helps show where Marcus Unterrainer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcus Unterrainer, 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 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 24 | |
| 13 | 2022 | 28 | |
| 14 | 2022 | 4 | |
| 15 | 2022 | 1 | |
| 16 | 2021 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2019 | 13 | |
| 19 | 2019 | 10 | |
| 20 | 2018 | 28 |
About Marcus Unterrainer
Marcus Unterrainer is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 137 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (39 papers), Medical Imaging Techniques and Applications (34 papers), Radiomics and Machine Learning in Medical Imaging (26 papers), Radiopharmaceutical Chemistry and Applications (24 papers), Prostate Cancer Treatment and Research (20 papers), Meningioma and schwannoma management (14 papers), Neuroendocrine Tumor Research Advances (12 papers) and Peptidase Inhibition and Analysis (10 papers). The work is most often cited by research in Genetics (763 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Pulmonary and Respiratory Medicine (591 citations). Marcus Unterrainer has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Peter Bartenstein, Nathalie L. Albert, Vera Wenter, Matthias Brendel, Harun Ilhan, Claus Belka, Bogdana Suchorska, Maximilian Niyazi, Andrei Todica and Jörg‐Christian Tonn. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and NeuroImage.
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.