K Siegmann

1.4k citations
28 papers · 1.1k · h-index 14

Impact in

Papers in

K Siegmann

28 papers receiving 1.0k citations

Peers

K Siegmann
Comparison fields: 5 of 81
  • Radiology, Nuclear Medicine and Imaging 534
  • Cancer Research 109
  • Pathology and Forensic Medicine 120
  • Biomedical Engineering 271
  • Obstetrics and Gynecology 35
Replace Judit Zubovits with:
Judit Zubovits Canada
W. E. Svensson United Kingdom
F. Degenhardt Germany
J Gay France
Seung Ja Kim South Korea
Weiwei Zhan China
Alexandra Athanasiou France
Rebecca A. Zuurbier United States
Qiyong Guo China
Kim Thomson United Kingdom
K Siegmann relative to Judit Zubovits Canada Judit Zubovits's profile →
Citations per field
00.5×1.7×
Judit Zubovits · 1×
Citations per year

Countries citing papers authored by K Siegmann

Since Specialization
Citations

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

Fields of papers citing papers by K Siegmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007269
2 2005158
3 2013146
4 200570
5 200957
6 200250
7 200547
8 201030
9 200229
10 200626
11
Management of late recurrence of a low-grade endometrial stromal sarcoma (LGESS): treatment with letrozole.
200721
12 200519
13 200818
14 200917
15 201113
16 200513
17 200313
18 200212
19 20109
20 20079

About K Siegmann

K Siegmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Cancer Research, Mechanics of Materials and Artificial Intelligence, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (7 papers), Breast Lesions and Carcinomas (7 papers), Ultrasound Imaging and Elastography (4 papers), Breast Cancer Treatment Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Advanced MRI Techniques and Applications (2 papers) and Ultrasonics and Acoustic Wave Propagation (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (534 citations), Cancer Research (109 citations), Pathology and Forensic Medicine (120 citations), Biomedical Engineering (271 citations) and Obstetrics and Gynecology (35 citations). K Siegmann has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Claus D. Claussen, T Xydeas, Ralph Sinkus, Mathias Fink, Mickaël Tanter, Markus Müller‐Schimpfle, D. Wallwiener, Markus Hahn, Ines Gruber and Karl Oliver Kagan. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Investigative Radiology, Archives of Gynecology and Obstetrics, Acta Radiologica and Clinical 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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