Jan Philipp Radtke

4.7k citations
100 papers · 3.1k indexed · 3 hit papers · h-index 27

Jan Philipp Radtke

91 papers receiving 3.1k citations

Hit Papers

Classification of Cancer at Prostate MRI: Deep Learning v...2302016202620192022100200300400

Peers

Jan Philipp Radtke
Comparison fields: 5 of 76
  • Pulmonary and Respiratory Medicine 2.7k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Rheumatology 825
  • Urology 211
  • Health Informatics 44
Replace Armando Stabile with:
Armando Stabile Italy
Claudia Kesch Germany
Faina Shtern United States
Tatsuo Gondo Japan
Ivan Jambor Finland
Riccardo Schiavina Italy
Francesco Ceci Italy
Andreas M. Hötker Switzerland
Simpa S. Salami United States
Matthias Heck Germany
Jan Philipp Radtke relative to Armando Stabile Italy Armando Stabile's profile →
Citations per field
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Armando Stabile · 1×
Citations per year

Countries citing papers authored by Jan Philipp Radtke

Since Specialization
Citations

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

Fields of papers citing papers by Jan Philipp Radtke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Philipp Radtke. 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 Jan Philipp Radtke. The network helps show where Jan Philipp Radtke may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jan Philipp Radtke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Philipp Radtke Line = papers co-authored together Jan Philipp Radtke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20242
5 20240
6 20233
7 20234
8 20232
9 20225
10 202213
11 202111
12 20217
13 20201
14 202049
15 20208
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Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessmentbreakdown →
2019230
17 201911
18 2016117
19 2015130
20 19982

About Jan Philipp Radtke

Jan Philipp Radtke is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 100 papers that have together received 3.1k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (72 papers), Prostate Cancer Treatment and Research (65 papers), Urologic and reproductive health conditions (24 papers), Radiopharmaceutical Chemistry and Applications (12 papers), MRI in cancer diagnosis (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Bladder and Urothelial Cancer Treatments (9 papers) and Urological Disorders and Treatments (7 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.7k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Rheumatology (825 citations). Jan Philipp Radtke has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Boris Hadaschik, Markus Hohenfellner, David Bonekamp, Claudia Kesch, Heinz-Peter Schlemmer, Matthias Roethke, Stefan Duensing, Martin T. Freitag, Uwe Haberkorn and Manuel Wiesenfarth. Their work appears in journals such as European Urology Focus, European Journal of Nuclear Medicine and Molecular Imaging, The Journal of Urology, Langenbeck s Archives of Surgery and Journal of Nuclear Medicine.

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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