Hans‐Jonas Meyer
Impact in
- Otorhinolaryngology top 2%
- Head and Neck Cancer Studies
-
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
-
- MRI in cancer diagnosis 37
- Radiomics and Machine Learning in Medical Imaging 33
- Medical Imaging Techniques and Applications 8
- Surgery 20
- Co-authors
- Alexey Surov (141 shared papers)Andreas Wienke (54 shared papers)Anne Kathrin Höhn (23 shared papers)Stefan Schob (19 shared papers)Gordian Hamerla (15 shared papers)Anne-Kathrin Höhn (23 shared papers)Karl‐Titus Hoffmann (16 shared papers)Nikita Garnov (8 shared papers)
- Journals
- Magnetic Resonance Imaging (10 papers)Translational Oncology (10 papers)Oncotarget (8 papers)Anticancer Research (8 papers)Medicine (6 papers)
- Partner nations
- GermanySouth KoreaUnited States
In The Last Decade
Hans‐Jonas Meyer
173 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 96
- Otorhinolaryngology 199
- Radiology, Nuclear Medicine and Imaging 1.0k
- Internal Medicine 117
- Obstetrics and Gynecology 112
- Genetics 162
Countries citing papers authored by Hans‐Jonas Meyer
This map shows the geographic impact of Hans‐Jonas Meyer'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 Hans‐Jonas Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans‐Jonas Meyer more than expected).
Fields of papers citing papers by Hans‐Jonas Meyer
This network shows the impact of papers produced by Hans‐Jonas Meyer. 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 Hans‐Jonas Meyer. The network helps show where Hans‐Jonas Meyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Hans‐Jonas Meyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 239 | |
| 2 | 2017 | 115 | |
| 3 | 2018 | 95 | |
| 4 | 2019 | 77 | |
| 5 | 2017 | 66 | |
| 6 | 2017 | 63 | |
| 7 | 2016 | 58 | |
| 8 | 2018 | 56 | |
| 9 | 2019 | 55 | |
| 10 | 2016 | 54 | |
| 11 | 2017 | 54 | |
| 12 | 2018 | 47 | |
| 13 | 2017 | 47 | |
| 14 | 2019 | 45 | |
| 15 | 2017 | 45 | |
| 16 | 2017 | 44 | |
| 17 | 2018 | 40 | |
| 18 | 2018 | 39 | |
| 19 | 2019 | 36 | |
| 20 | 2018 | 35 |
About Hans‐Jonas Meyer
Hans‐Jonas Meyer is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Epidemiology, Pulmonary and Respiratory Medicine and Oncology, having authored 192 papers that have together received 2.9k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (37 papers), Radiomics and Machine Learning in Medical Imaging (33 papers), Nutrition and Health in Aging (13 papers), Venous Thromboembolism Diagnosis and Management (12 papers), Medical Imaging Techniques and Applications (8 papers), Endometrial and Cervical Cancer Treatments (7 papers), Head and Neck Cancer Studies (7 papers) and Meningioma and schwannoma management (6 papers). The work is most often cited by research in Otorhinolaryngology (199 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Internal Medicine (117 citations), Obstetrics and Gynecology (112 citations) and Genetics (162 citations). Hans‐Jonas Meyer has collaborated with scholars based in Germany, South Korea and United States. Frequent co-authors include Alexey Surov, Andreas Wienke, Anne Kathrin Höhn, Stefan Schob, Gordian Hamerla, Anne-Kathrin Höhn, Karl‐Titus Hoffmann, Nikita Garnov, Sandra Purz and Osama Sabri. Their work appears in journals such as Magnetic Resonance Imaging, Translational Oncology, Oncotarget, Anticancer Research and Medicine.
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.