Hong Grafe
Impact in
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- Peptidase Inhibition and Analysis
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- Radiopharmaceutical Chemistry and Applications
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Medical Imaging Techniques and Applications 7
- Radiation Dose and Imaging 2
- Radiopharmaceutical Chemistry and Applications 2
- Oncology 4
- Peptidase Inhibition and Analysis 3
- Co-authors
- Lale Umutlu (8 shared papers)Wolfgang P. Fendler (6 shared papers)Jens T. Siveke (3 shared papers)Christoph Rischpler (4 shared papers)Lukas Kessler (2 shared papers)Justin Ferdinandus (2 shared papers)Ken Herrmann (7 shared papers)Nader Hirmas (3 shared papers)
- Journals
- Journal of Nuclear Medicine (4 papers)Medical Physics (3 papers)European Journal of Radiology (2 papers)European Journal of Nuclear Medicine and Molecular Imaging (2 papers)Nuklearmedizin - NuclearMedicine (2 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Hong Grafe
16 papers receiving 270 citations
Peers
Comparison fields: 5 of 41
- Oncology 173
- Radiology, Nuclear Medicine and Imaging 109
- Otorhinolaryngology 17
- Cancer Research 50
- Surgery 85
Countries citing papers authored by Hong Grafe
This map shows the geographic impact of Hong Grafe'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 Hong Grafe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Grafe more than expected).
Fields of papers citing papers by Hong Grafe
This network shows the impact of papers produced by Hong Grafe. 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 Hong Grafe. The network helps show where Hong Grafe may publish in the future.
Co-authors
The 25 scholars most cited alongside Hong Grafe, 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 | 2021 | 94 | |
| 2 | 2020 | 80 | |
| 3 | 2016 | 41 | |
| 4 | 2024 | 10 | |
| 5 | 2021 | 7 | |
| 6 | 2023 | 7 | |
| 7 | 2020 | 7 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2016 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2022 | 0 |
About Hong Grafe
Hong Grafe is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Radiation, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 17 papers that have together received 274 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Advanced Radiotherapy Techniques (3 papers), Peptidase Inhibition and Analysis (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Radiation Dose and Imaging (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Oncology (173 citations), Radiology, Nuclear Medicine and Imaging (109 citations), Otorhinolaryngology (17 citations), Cancer Research (50 citations) and Surgery (85 citations). Hong Grafe has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Lale Umutlu, Wolfgang P. Fendler, Jens T. Siveke, Christoph Rischpler, Lukas Kessler, Justin Ferdinandus, Ken Herrmann, Nader Hirmas, Hans‐Ulrich Schildhaus and Sebastian Bauer. Their work appears in journals such as Journal of Nuclear Medicine, Medical Physics, European Journal of Radiology, European Journal of Nuclear Medicine and Molecular Imaging and Nuklearmedizin - NuclearMedicine.
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.