Christina Mueller‐Mang
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Surgery
- Rheumatology top 10%
- Co-authors
- Thomas MangMichael WeberMajda M. ThurnherLeopold StiebellehnerClaudia GroßeKatharina SchmidAlexander A. BankierChristian Czerny
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)Colorectal Cancer Screening and Detection (4 papers)Colorectal Cancer Surgical Treatments (4 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Christina Mueller‐Mang
17 papers receiving 511 citations
Peers
Comparison fields: 5 of 61
- Pulmonary and Respiratory Medicine 133
- Radiology, Nuclear Medicine and Imaging 133
- Oncology 126
- Surgery 115
- Rheumatology 102
Countries citing papers authored by Christina Mueller‐Mang
This map shows the geographic impact of Christina Mueller‐Mang'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 Mueller‐Mang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Mueller‐Mang more than expected).
Fields of papers citing papers by Christina Mueller‐Mang
This network shows the impact of papers produced by Christina Mueller‐Mang. 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 Mueller‐Mang. The network helps show where Christina Mueller‐Mang may publish in the future.
Co-authorship network of co-authors of Christina Mueller‐Mang
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Mueller‐Mang. A scholar is included among the top collaborators of Christina Mueller‐Mang 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 Mueller‐Mang. Christina Mueller‐Mang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 90 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 12 | |
| 7 | 103 | |
| 8 | 4 | |
| 9 | 61 | |
| 10 | 5 | |
| 11 | 32 | |
| 12 | 32 | |
| 13 | 25 | |
| 14 | 9 | |
| 15 | 97 | |
| 16 | What Every Radiologist Should Know about Idiopathic Interstitial | 1 |
| 17 | 30 |
About Christina Mueller‐Mang
Christina Mueller‐Mang is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Critical Care and Intensive Care Medicine, having authored 17 papers that have together received 522 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Colorectal Cancer Screening and Detection (4 papers) and Colorectal Cancer Surgical Treatments (4 papers). The work is most often cited by research in Rheumatology (102 citations), Psychiatry and Mental health (102 citations) and Radiology, Nuclear Medicine and Imaging (133 citations). Christina Mueller‐Mang has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Thomas Mang, Michael Weber, Majda M. Thurnher, Leopold Stiebellehner, Claudia Große, Katharina Schmid, Alexander A. Bankier, Christian Czerny, Katharina Klein and Daniela Prayer. Their work appears in journals such as Radiographics, European Radiology and NMR in Biomedicine.
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.