Torsten Kuwert

12.3k citations
317 papers · 8.4k indexed · h-index 48
Topics
Medical Imaging Techniques and Applications (113 papers)Radiopharmaceutical Chemistry and Applications (62 papers)Radiomics and Machine Learning in Medical Imaging (43 papers)

In The Last Decade

Torsten Kuwert

304 papers receiving 8.2k citations

Peers

Torsten Kuwert
Comparison fields: 5 of 159
  • Radiology, Nuclear Medicine and Imaging 4.2k
  • Pulmonary and Respiratory Medicine 1.4k
  • Surgery 1.1k
  • Oncology 1.0k
  • Molecular Biology 1.0k
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Michael V. Knopp United States
Peter Bartenstein Germany
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Citations per field
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Countries citing papers authored by Torsten Kuwert

Since Specialization
Citations

This map shows the geographic impact of Torsten Kuwert'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 Torsten Kuwert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten Kuwert more than expected).

Fields of papers citing papers by Torsten Kuwert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Torsten Kuwert. 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 Torsten Kuwert. The network helps show where Torsten Kuwert may publish in the future.

Co-authorship network of co-authors of Torsten Kuwert

This figure shows the co-authorship network connecting the top 25 collaborators of Torsten Kuwert. A scholar is included among the top collaborators of Torsten Kuwert 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 Torsten Kuwert. Torsten Kuwert 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
#WorkIndexed citations
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8 24
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Positronenemissionstomographie 2013 in Deutschland: Ergebnisse der erhebung und standortbestimmung
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13 17
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[Perfusion brain imaging with SPECT-technique. German Guideline S1].
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Diagnostischer Wertigkeit und therapeutische Konsequenzen der 18F-FDG-PET/CT beim differenzierten Schilddrüsenkarzinom
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Anatomische Genauigkeit der retrospektiven, automatischen und starren Bildregistrierung zwischen FDG-PET und MRI bei abdominalen Läsionen
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About Torsten Kuwert

Torsten Kuwert is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Cellular and Molecular Neuroscience, having authored 317 papers that have together received 8.4k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (113 papers), Radiopharmaceutical Chemistry and Applications (62 papers) and Radiomics and Machine Learning in Medical Imaging (43 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.2k citations), Neurology (893 citations) and Genetics (616 citations). Torsten Kuwert has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Olaf Prante, Hans Herzog, Karl‐Josef Langen, Philipp Ritt, Joachim Hornegger, Simone Maschauer, Michael Uder, Daniela Schmidt, L. E. Feinendegen and Ludwig E. Feinendegen. Their work appears in journals such as Angewandte Chemie International Edition, Circulation and Journal of Clinical Oncology.

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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