Seval Beykan
Impact in
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- Radiopharmaceutical Chemistry and Applications
- Medical Imaging Techniques and Applications
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- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
Papers in
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- Radiopharmaceutical Chemistry and Applications 4
- Medical Imaging Techniques and Applications 2
- Radiomics and Machine Learning in Medical Imaging 1
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- Prostate Cancer Treatment and Research 3
- Co-authors
- Michael Laßmann (12 shared papers)Margret Schottelius (3 shared papers)Hans‐Jürgen Wester (3 shared papers)Martina Weineisen (2 shared papers)Markus Schwaiger (2 shared papers)Akın Yıldız (1 shared paper)Ingo Klette (1 shared paper)Harshad Kulkarni (1 shared paper)
- Journals
- Journal of Nuclear Medicine (3 papers)European Journal of Nuclear Medicine and Molecular Imaging (2 papers)Physica Medica (2 papers)EJNMMI Research (1 paper)Nuclear Medicine and Biology (1 paper)
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Seval Beykan
13 papers receiving 858 citations
Seval Beykan's Hit Papers
Peers
Comparison fields: 5 of 55
- Radiology, Nuclear Medicine and Imaging 523
- Pulmonary and Respiratory Medicine 490
- Oncology 301
- Neurology 62
- Epidemiology 120
Countries citing papers authored by Seval Beykan
This map shows the geographic impact of Seval Beykan'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 Seval Beykan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seval Beykan more than expected).
Fields of papers citing papers by Seval Beykan
This network shows the impact of papers produced by Seval Beykan. 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 Seval Beykan. The network helps show where Seval Beykan may publish in the future.
Co-authors
The 25 scholars most cited alongside Seval Beykan, 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 | 68Ga- and 177Lu-Labeled PSMA I&T: Optimization of a PSMA-Targeted Theranostic Concept and First Proof-of-Concept Human Studies Hit paper breakdown → | 2015 | 429 |
| 2 | 2015 | 118 | |
| 3 | 2017 | 93 | |
| 4 | 2017 | 69 | |
| 5 | 2016 | 41 | |
| 6 | 2019 | 36 | |
| 7 | 2018 | 24 | |
| 8 | 2016 | 16 | |
| 9 | 2016 | 15 | |
| 10 | 2016 | 9 | |
| 11 | 2018 | 6 | |
| 12 | 2017 | 4 | |
| 13 | 2022 | 2 |
About Seval Beykan
Seval Beykan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Neurology, having authored 13 papers that have together received 862 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (4 papers), Prostate Cancer Treatment and Research (3 papers), Lung Cancer Research Studies (2 papers), Medical Imaging Techniques and Applications (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Immunotherapy and Immune Responses (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (523 citations), Pulmonary and Respiratory Medicine (490 citations), Oncology (301 citations), Neurology (62 citations) and Epidemiology (120 citations). Seval Beykan has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Michael Laßmann, Margret Schottelius, Hans‐Jürgen Wester, Martina Weineisen, Markus Schwaiger, Akın Yıldız, Ingo Klette, Harshad Kulkarni, Richard P. Baum and Matthias Eiber. Their work appears in journals such as Journal of Nuclear Medicine, European Journal of Nuclear Medicine and Molecular Imaging, Physica Medica, EJNMMI Research 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.