Helmut Dittmann
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- Medical Imaging Techniques and Applications 25
- Radiopharmaceutical Chemistry and Applications 17
- Radiomics and Machine Learning in Medical Imaging 12
- MRI in cancer diagnosis 7
- Cancer Research top 5%
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- Prostate Cancer Treatment and Research 9
- Oncology top 10%
- Radiation top 5%
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- Neuroblastoma Research and Treatments 13
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- Neuroendocrine Tumor Research Advances 8
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- Lymphoma Diagnosis and Treatment 7
- Co-authors
- Roland BaresGerald ReischlFrank PaulsenMatthias ReimoldHans-Juergen MachullaS. M. EschmannBernhard M. DohmenStefan Welz
- Journals
- Journal of Nuclear Medicine (9 papers)European Journal of Nuclear Medicine and Molecular Imaging (7 papers)Journal of Clinical Medicine (5 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Helmut Dittmann
76 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 82
- Radiology, Nuclear Medicine and Imaging 994
- Cancer Research 323
- Pulmonary and Respiratory Medicine 585
- Oncology 371
- Radiation 109
Countries citing papers authored by Helmut Dittmann
This map shows the geographic impact of Helmut Dittmann'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 Helmut Dittmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helmut Dittmann more than expected).
Fields of papers citing papers by Helmut Dittmann
This network shows the impact of papers produced by Helmut Dittmann. 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 Helmut Dittmann. The network helps show where Helmut Dittmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Helmut Dittmann, 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 | 2024 | 1 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 17 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 0 | |
| 13 | 2022 | 21 | |
| 14 | 2021 | 39 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 17 | |
| 17 | 2020 | 47 | |
| 18 | 2016 | 16 | |
| 19 | 2013 | 88 | |
| 20 | 2006 | 64 |
About Helmut Dittmann
Helmut Dittmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Neurology, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (25 papers), Radiopharmaceutical Chemistry and Applications (17 papers), Neuroblastoma Research and Treatments (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Prostate Cancer Treatment and Research (9 papers), Neuroendocrine Tumor Research Advances (8 papers), MRI in cancer diagnosis (7 papers) and Lymphoma Diagnosis and Treatment (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (994 citations), Cancer Research (323 citations) and Pulmonary and Respiratory Medicine (585 citations). Helmut Dittmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Roland Bares, Gerald Reischl, Frank Paulsen, Matthias Reimold, Hans-Juergen Machulla, S. M. Eschmann, Bernhard M. Dohmen, Stefan Welz, Christian la Fougère and S. Eschmann. Their work appears in journals such as Journal of Nuclear Medicine, European Journal of Nuclear Medicine and Molecular Imaging, Journal of Clinical Medicine, Cancers and Nuclear Medicine and Biology.
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.