Markus Müller‐Schimpfle

1.8k citations
48 papers · 843 · h-index 14

Impact in

Papers in

Markus Müller‐Schimpfle

43 papers receiving 811 citations

Peers

Markus Müller‐Schimpfle
Comparison fields: 5 of 55
  • Radiology, Nuclear Medicine and Imaging 584
  • Pathology and Forensic Medicine 295
  • Cancer Research 128
  • Oncology 129
  • Pulmonary and Respiratory Medicine 150
Replace F. Degenhardt with:
F. Degenhardt Germany
R. Gilles France
Linda Hovanessian‐Larsen United States
N D DeBruhl United States
B. Boné Sweden
Su Min Ha South Korea
A. Heinig Germany
Caroline Malhaire France
Stefanie Weigel Germany
Yu‐Mee Sohn South Korea
Markus Müller‐Schimpfle relative to F. Degenhardt Germany F. Degenhardt's profile →
Citations per field
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F. Degenhardt · 1×
Citations per year

Countries citing papers authored by Markus Müller‐Schimpfle

Since Specialization
Citations

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

Fields of papers citing papers by Markus Müller‐Schimpfle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Müller‐Schimpfle. 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 Markus Müller‐Schimpfle. The network helps show where Markus Müller‐Schimpfle may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997206
2 2001119
3 199380
4 200250
5 200546
6 199732
7 200229
8 200429
9 199727
10 199722
11 200519
12 199216
13 201816
14 200513
15 200313
16 200212
17 199111
18 20168
19 20168
20 20198

About Markus Müller‐Schimpfle

Markus Müller‐Schimpfle is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Cancer Research, Surgery and Oncology, having authored 48 papers that have together received 843 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (17 papers), Breast Cancer Treatment Studies (16 papers), Breast Lesions and Carcinomas (16 papers), Advanced MRI Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Global Cancer Incidence and Screening (7 papers), Medical Imaging Techniques and Applications (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (584 citations), Pathology and Forensic Medicine (295 citations), Cancer Research (128 citations), Oncology (129 citations) and Pulmonary and Respiratory Medicine (150 citations). Markus Müller‐Schimpfle has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Claus D. Claussen, Peter Stoll, Klaus Dietz, K Siegmann, N. Fersis, Arne Fischmann, G. Layer, CD Claussen, G. van Kaick and Gunnar Brix. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Breast Care, American Journal of Roentgenology, Investigative Radiology and European Journal of Radiology.

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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