Simon Bernatz

1.4k citations
75 papers · 973 · 1 hit paper · h-index 16

Impact in

Papers in

Simon Bernatz

68 papers receiving 961 citations

Simon Bernatz's Hit Papers

Foundation model for cancer imaging biomarkers 2024 · 115 citations
1150+1Years since publication255075100

Peers

Simon Bernatz
Comparison fields: 5 of 95
  • Health Informatics 25
  • Genetics 143
  • Radiology, Nuclear Medicine and Imaging 181
  • Pulmonary and Respiratory Medicine 219
  • Neurology 54
Replace Chaoyue Chen with:
Chaoyue Chen China
Wencai Li China
Nir Neumark United States
Bum‐Sup Jang South Korea
Monica S. M. Chan China
Marie‐Lisa Eich Germany
Xiao-chun Meng China
Nalee Kim South Korea
Dana Orange United States
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Citations per field
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Citations per year

Countries citing papers authored by Simon Bernatz

Since Specialization
Citations

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

Fields of papers citing papers by Simon Bernatz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simon Bernatz, 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 Simon Bernatz Line = papers co-authored together Simon Bernatz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018136
2
Foundation model for cancer imaging biomarkers
Hit paper breakdown →
2024115
3 2015105
4 202046
5 201843
6 201941
7 201826
8 202126
9 202125
10 202122
11 202121
12 202320
13 202319
14 201918
15 202317
16 202116
17 201715
18 202213
19 202313
20 202112

About Simon Bernatz

Simon Bernatz is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Pulmonary and Respiratory Medicine, Biomedical Engineering and Oncology, having authored 75 papers that have together received 973 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Immune cells in cancer (3 papers), Medical Imaging Techniques and Applications (3 papers), Radiation Dose and Imaging (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Health Informatics (25 citations), Genetics (143 citations), Radiology, Nuclear Medicine and Imaging (181 citations), Pulmonary and Respiratory Medicine (219 citations) and Neurology (54 citations). Simon Bernatz has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Patrick N. Harter, Thomas Joseph Vogl, Simon S. Martin, Scherwin Mahmoudi, Nicolai J. Birkbak, Christian Booz, Hugo J.W.L. Aerts, Vitali Koch, Suraj Pai and Ahmed Hosny. Their work appears in journals such as European Radiology, Academic Radiology, European Journal of Radiology, Cancers and European Journal of Clinical Investigation.

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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