Christina Schraml
- Radiology, Nuclear Medicine and Imaging top 1%
- Epidemiology top 2%
- Hepatology top 1%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Nina F. SchwenzerFritz SchickClaus D. ClaussenJürgen MachannNorbert StefanPetros MartirosianFabian SpringerKonstantin Nikolaou
- Topics
- Advanced MRI Techniques and Applications (39 papers)MRI in cancer diagnosis (31 papers)Radiomics and Machine Learning in Medical Imaging (13 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Christina Schraml
74 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Radiology, Nuclear Medicine and Imaging 1.4k
- Epidemiology 1.1k
- Hepatology 695
- Surgery 347
- Pulmonary and Respiratory Medicine 343
Countries citing papers authored by Christina Schraml
This map shows the geographic impact of Christina Schraml'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 Christina Schraml with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Schraml more than expected).
Fields of papers citing papers by Christina Schraml
This network shows the impact of papers produced by Christina Schraml. 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 Christina Schraml. The network helps show where Christina Schraml may publish in the future.
Co-authorship network of co-authors of Christina Schraml
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Schraml. A scholar is included among the top collaborators of Christina Schraml 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 Christina Schraml. Christina Schraml is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 10 | |
| 3 | 37 | |
| 4 | 13 | |
| 5 | 32 | |
| 6 | 27 | |
| 7 | 17 | |
| 8 | 25 | |
| 9 | 17 | |
| 10 | 54 | |
| 11 | 4 | |
| 12 | 66 | |
| 13 | 20 | |
| 14 | 24 | |
| 15 | 109 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 28 | |
| 19 | 3 | |
| 20 | 32 |
About Christina Schraml
Christina Schraml is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Orthopedics and Sports Medicine, having authored 74 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (39 papers), MRI in cancer diagnosis (31 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). The work is most often cited by research in Hepatology (695 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations) and Epidemiology (1.1k citations). Christina Schraml has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Nina F. Schwenzer, Fritz Schick, Claus D. Claussen, Jürgen Machann, Norbert Stefan, Petros Martirosian, Fabian Springer, Konstantin Nikolaou, Holger Schmidt and Andreas Boss. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gut.
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.