Simon Bernatz

1.3k citations
61 papers · 590 · 1 hit paper · h-index 13

Impact in

Papers in

Simon Bernatz

48 papers receiving 587 citations

Simon Bernatz's Hit Papers

Foundation model for cancer imaging biomarkers 2024 · 84 citations
840+1Years since publication255075

Peers

Simon Bernatz
Comparison fields: 5 of 80
  • Health Informatics 21
  • Genetics 74
  • Radiology, Nuclear Medicine and Imaging 118
  • Pulmonary and Respiratory Medicine 138
  • Oncology 103
Replace Bum‐Sup Jang with:
Bum‐Sup Jang South Korea
Hyeyoon Chang South Korea
Nalee Kim South Korea
Aida Kiviniemi Finland
Haitao Zhu China
Nabil Elshafeey United States
Eleanor Cornford United Kingdom
Marie‐Lisa Eich United States
Ik Joon Choi South Korea
Simon Bernatz relative to Bum‐Sup Jang South Korea Bum‐Sup Jang's profile →
Citations per field
00.5×
Bum‐Sup Jang · 1×
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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015100
2
Foundation model for cancer imaging biomarkers
Hit paper breakdown →
202484
3 201840
4 202124
5 201824
6 202123
7 202121
8 202320
9 202117
10 201715
11 201914
12 202312
13 202312
14 202111
15 202211
16 202111
17 202111
18 202310
19 202210
20 20219

About Simon Bernatz

Simon Bernatz is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 61 papers that have together received 590 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (13 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), AI in cancer detection (3 papers), Medical Imaging Techniques and Applications (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Radiation Dose and Imaging (3 papers). The work is most often cited by research in Health Informatics (21 citations), Genetics (74 citations), Radiology, Nuclear Medicine and Imaging (118 citations), Pulmonary and Respiratory Medicine (138 citations) and Oncology (103 citations). Simon Bernatz has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Patrick N. Harter, Thomas J. Vogl, Simon S. Martin, Scherwin Mahmoudi, Christian Senft, Michel Mittelbronn, Christian Booz, Vitali Koch, Mateo Sokač and Dennis Bontempi. Their work appears in journals such as Academic Radiology, European Radiology, European Journal of Radiology, Cancers and Journal of Cancer Research and 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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