K Siegmann

1.4k citations
29 papers · 1.2k · h-index 15

Impact in

Papers in

K Siegmann

29 papers receiving 1.1k citations

Peers

K Siegmann
Comparison fields: 5 of 65
  • Radiology, Nuclear Medicine and Imaging 662
  • Pathology and Forensic Medicine 159
  • Pulmonary and Respiratory Medicine 145
  • Cell Biology 48
  • Modeling and Simulation 17
Replace Hiroaki Suzuki with:
Hiroaki Suzuki Japan
V. Juhan France
Silvia Obenauer Germany
Habib Rahbar United States
Hon J. Yu United States
Serena Monti Italy
Sylvain Reuzé France
Jürgen Griebel Germany
Barbara C. Cavanaugh United States
Ivan W. T. Yeung Canada
K Siegmann relative to Hiroaki Suzuki Japan Hiroaki Suzuki's profile →
Citations per field
00.5×2×4×6×8.5×
Hiroaki Suzuki · 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007275
2 2005163
3 2013156
4 200573
5 200958
6 200254
7 200550
8 201047
9 200232
10 201030
11 200628
12
Management of late recurrence of a low-grade endometrial stromal sarcoma (LGESS): treatment with letrozole.
200722
13 200520
14 200819
15 200917
16 200315
17 200513
18 201113
19 200212
20 200710

About K Siegmann

K Siegmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Obstetrics and Gynecology, Rheumatology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (10 papers), MRI in cancer diagnosis (10 papers), Ultrasound Imaging and Elastography (4 papers), Uterine Myomas and Treatments (2 papers), Digital Radiography and Breast Imaging (2 papers), Advanced MRI Techniques and Applications (2 papers), Anatomy and Medical Technology (1 paper) and Electrical and Bioimpedance Tomography (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (662 citations), Pathology and Forensic Medicine (159 citations), Pulmonary and Respiratory Medicine (145 citations), Cell Biology (48 citations) and Modeling and Simulation (17 citations). K Siegmann has collaborated with scholars based in Germany, France and China. Frequent co-authors include Claus Detlef Claussen, Tanja Xydeas, Ralph Sinkus, Mickaël Tanter, Mathias Fink, Markus Müller‐Schimpfle, Diethelm R. Wallwiener, Markus Hahn, Ines Verena Gruber and Annette Staebler. 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, British Journal of Radiology and Breast Care.

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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