Nina Pötsch
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
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- Prostate Cancer Diagnosis and Treatment
- Digital Radiography and Breast Imaging
Papers in
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- MRI in cancer diagnosis 7
- Radiomics and Machine Learning in Medical Imaging 1
- Monoclonal and Polyclonal Antibodies Research 1
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- Prostate Cancer Diagnosis and Treatment 4
- Digital Radiography and Breast Imaging 3
- Prostate Cancer Treatment and Research 1
- Co-authors
- Pascal Baltzer (16 shared papers)Paola Clauser (14 shared papers)Thomas H. Helbich (11 shared papers)Giulia Vatteroni (3 shared papers)Tatjana Traub‐Weidinger (2 shared papers)Markus Mitterhauser (1 shared paper)Marcus Hacker (2 shared papers)László Papp (1 shared paper)
- Journals
- European Journal of Radiology (6 papers)European Radiology (4 papers)Radiology (2 papers)Journal of Personalized Medicine (1 paper)Investigative Radiology (1 paper)
- Partner nations
- AustriaUnited StatesItaly
In The Last Decade
Nina Pötsch
17 papers receiving 331 citations
Peers
Comparison fields: 5 of 43
- Radiology, Nuclear Medicine and Imaging 165
- Pulmonary and Respiratory Medicine 117
- Health Informatics 5
- Genetics 26
- Geriatrics and Gerontology 6
Countries citing papers authored by Nina Pötsch
This map shows the geographic impact of Nina Pötsch'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 Nina Pötsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Pötsch more than expected).
Fields of papers citing papers by Nina Pötsch
This network shows the impact of papers produced by Nina Pötsch. 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 Nina Pötsch. The network helps show where Nina Pötsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Nina Pötsch, 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 | 2022 | 96 | |
| 2 | 2017 | 82 | |
| 3 | 2022 | 36 | |
| 4 | 2022 | 23 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 18 | |
| 7 | 2020 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Nina Pötsch
Nina Pötsch is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Genetics, Geriatrics and Gerontology and Artificial Intelligence, having authored 20 papers that have together received 337 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (7 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Digital Radiography and Breast Imaging (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Gestational Trophoblastic Disease Studies (1 paper), Frailty in Older Adults (1 paper), Prostate Cancer Treatment and Research (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (165 citations), Pulmonary and Respiratory Medicine (117 citations), Health Informatics (5 citations), Genetics (26 citations) and Geriatrics and Gerontology (6 citations). Nina Pötsch has collaborated with scholars based in Austria, United States and Italy. Frequent co-authors include Pascal Baltzer, Paola Clauser, Thomas H. Helbich, Giulia Vatteroni, Tatjana Traub‐Weidinger, Markus Mitterhauser, Marcus Hacker, László Papp, Wolfgang Wadsak and Matthias Preusser. Their work appears in journals such as European Journal of Radiology, European Radiology, Radiology, Journal of Personalized Medicine and Investigative 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.