Tanja Schimek‐Jasch
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Radiation top 5%
- Genetics
- Biomedical Engineering
- Co-authors
- Ursula NestleSonja AdebahrAnca-Ligia GrosuMichael MixGerta RückerPhilipp T. MeyerPieter Jan StappersThomas Brunner
- Topics
- Medical Imaging Techniques and Applications (13 papers)Lung Cancer Diagnosis and Treatment (12 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)
- Journals
- Journal of Clinical OncologyInternational Journal of Radiation Oncology*Biology*PhysicsIEEE Transactions on Medical Imaging
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Tanja Schimek‐Jasch
24 papers receiving 424 citations
Peers
Comparison fields: 5 of 84
- Radiology, Nuclear Medicine and Imaging 261
- Pulmonary and Respiratory Medicine 189
- Radiation 108
- Genetics 78
- Biomedical Engineering 41
Countries citing papers authored by Tanja Schimek‐Jasch
This map shows the geographic impact of Tanja Schimek‐Jasch'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 Tanja Schimek‐Jasch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanja Schimek‐Jasch more than expected).
Fields of papers citing papers by Tanja Schimek‐Jasch
This network shows the impact of papers produced by Tanja Schimek‐Jasch. 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 Tanja Schimek‐Jasch. The network helps show where Tanja Schimek‐Jasch may publish in the future.
Co-authorship network of co-authors of Tanja Schimek‐Jasch
This figure shows the co-authorship network connecting the top 25 collaborators of Tanja Schimek‐Jasch. A scholar is included among the top collaborators of Tanja Schimek‐Jasch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tanja Schimek‐Jasch. Tanja Schimek‐Jasch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 28 | |
| 8 | 6 | |
| 9 | 25 | |
| 10 | 28 | |
| 11 | 18 | |
| 12 | 19 | |
| 13 | 12 | |
| 14 | 26 | |
| 15 | 10 | |
| 16 | 50 | |
| 17 | 15 | |
| 18 | 24 | |
| 19 | 26 | |
| 20 | 19 |
About Tanja Schimek‐Jasch
Tanja Schimek‐Jasch is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 430 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (13 papers), Lung Cancer Diagnosis and Treatment (12 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Radiation (108 citations), Radiology, Nuclear Medicine and Imaging (261 citations) and Health Informatics (12 citations). Tanja Schimek‐Jasch has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Ursula Nestle, Sonja Adebahr, Anca-Ligia Grosu, Michael Mix, Gerta Rücker, Philipp T. Meyer, Pieter Jan Stappers, Thomas Brunner, Eleni Gkika and Wiro J. Niessen. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and IEEE Transactions on Medical Imaging.
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.