Katja Oberholzer

1.4k citations
29 papers · 1.0k indexed · h-index 20
Topics
Colorectal Cancer Surgical Treatments (8 papers)Advanced MRI Techniques and Applications (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)

In The Last Decade

Katja Oberholzer

28 papers receiving 1.0k citations

Peers

Katja Oberholzer
Comparison fields: 5 of 58
  • Surgery 576
  • Radiology, Nuclear Medicine and Imaging 342
  • Pulmonary and Respiratory Medicine 314
  • Oncology 266
  • Hepatology 136
Replace Yoshihiro Dodo with:
Yoshihiro Dodo Japan
Ginevra Danti Italy
Takehiko Gokan Japan
Alberto Rebonato Italy
Thomas G. Vrachliotis United States
H.–J. Brambs Germany
Christoforos Stoupis Switzerland
Mervyn A. Kroeker Canada
Hideaki Kakizawa Japan
Hee Ho Chu South Korea
Katja Oberholzer relative to Yoshihiro Dodo Japan Yoshihiro Dodo's profile →
Citations per field
00.5×3.6×
Yoshihiro Dodo · 1×
Citations per year

Countries citing papers authored by Katja Oberholzer

Since Specialization
Citations

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

Fields of papers citing papers by Katja Oberholzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Oberholzer

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Oberholzer. A scholar is included among the top collaborators of Katja Oberholzer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katja Oberholzer. Katja Oberholzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 162
4 16
5 58
6 59
7 14
8 21
9 108
10 27
11 35
12 77
13 22
14 34
15 11
16 32
17 19
18 27
19 99
20 2

About Katja Oberholzer

Katja Oberholzer is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Oncology, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (8 papers), Advanced MRI Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Hepatology (136 citations), Radiology, Nuclear Medicine and Imaging (342 citations) and Surgery (576 citations). Katja Oberholzer has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include T Junginger, Michael B. Pitton, Christoph Dueber, Roman Kloeckner, Christoph Düber, Karl‐Friedrich Kreitner, Stefan Biesterfeld, André Lollert, Peter Mildenberger and Gerd Otto. Their work appears in journals such as Circulation, International Journal of Radiation Oncology*Biology*Physics and American Journal of Roentgenology.

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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