Julian Kirchner

1.9k total citations
79 papers, 1.2k citations indexed

About

Julian Kirchner is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Julian Kirchner has authored 79 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Pulmonary and Respiratory Medicine and 15 papers in Oncology. Recurrent topics in Julian Kirchner's 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). Julian Kirchner is often cited by papers focused on Medical Imaging Techniques and Applications (37 papers), Radiomics and Machine Learning in Medical Imaging (36 papers) and MRI in cancer diagnosis (16 papers). Julian Kirchner collaborates with scholars based in Germany, United States and Australia. Julian Kirchner's 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 and has published in prestigious journals such as PLoS ONE, Radiology and International Journal of Molecular Sciences.

In The Last Decade

Julian Kirchner

75 papers receiving 1.2k citations

Peers

Julian Kirchner
Comparison fields: 5 of 76
  • Radiology, Nuclear Medicine and Imaging 829
  • Pulmonary and Respiratory Medicine 392
  • Oncology 193
  • Surgery 127
  • Epidemiology 110
Replace Johannes Grueneisen with:
Johannes Grueneisen Germany
Benedikt M. Schaarschmidt Germany
Karsten Beiderwellen Germany
Lino M. Sawicki Germany
Marcelo A. Queiroz Brazil
Peter Faulhaber United States
Riccardo Santoni Italy
Franziska Walter Germany
Sujay A. Vora United States
H. Alberto Vargas United States
Johannes Grueneisen Germany View profile →
Citations per field, relative to Julian Kirchner
Julian Kirchner · 1×
Citations per year, relative to Julian Kirchner
Julian Kirchner · 1×

Countries citing papers authored by Julian Kirchner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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