Julian Kirchner
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Oncology
- Surgery
- Epidemiology
- Co-authors
- Lale UmutluKen HerrmannGerald AntochMichael ForstingLino M. SawickiJohannes GrueneisenBenedikt M. SchaarschmidtHarald H. Quick
- Topics
- Medical Imaging Techniques and Applications (37 papers)Radiomics and Machine Learning in Medical Imaging (36 papers)MRI in cancer diagnosis (16 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineObstetrics and Gynecology
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Julian Kirchner
75 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 829
- Pulmonary and Respiratory Medicine 392
- Oncology 193
- Surgery 127
- Epidemiology 110
Countries citing papers authored by Julian Kirchner
This map shows the geographic impact of Julian Kirchner'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 Julian Kirchner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Kirchner more than expected).
Fields of papers citing papers by Julian Kirchner
This network shows the impact of papers produced by Julian Kirchner. 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 Julian Kirchner. The network helps show where Julian Kirchner may publish in the future.
Co-authorship network of co-authors of Julian Kirchner
This figure shows the co-authorship network connecting the top 25 collaborators of Julian Kirchner. A scholar is included among the top collaborators of Julian Kirchner 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 Julian Kirchner. Julian Kirchner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 31 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 39 | |
| 11 | 22 | |
| 12 | 10 | |
| 13 | 12 | |
| 14 | 24 | |
| 15 | 14 | |
| 16 | 19 | |
| 17 | 68 | |
| 18 | 0 | |
| 19 | 13 | |
| 20 | 21 |
About Julian Kirchner
Julian Kirchner is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Hepatology, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (37 papers), Radiomics and Machine Learning in Medical Imaging (36 papers) and MRI in cancer diagnosis (16 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (829 citations), Pulmonary and Respiratory Medicine (392 citations) and Obstetrics and Gynecology (85 citations). Julian Kirchner has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Lale Umutlu, Ken Herrmann, Gerald Antoch, Michael Forsting, Lino M. Sawicki, Johannes Grueneisen, Benedikt M. Schaarschmidt, Harald H. Quick, Christian Buchbender and Philipp Heusch. Their work appears in journals such as PLoS ONE, Radiology and International Journal of Molecular Sciences.
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.