Ursula Kohlhofer

984 citations
30 papers · 663 indexed · h-index 16
Topics
Medical Imaging Techniques and Applications (6 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)MRI in cancer diagnosis (3 papers)

In The Last Decade

Ursula Kohlhofer

30 papers receiving 661 citations

Peers

Ursula Kohlhofer
Comparison fields: 5 of 91
  • Molecular Biology 225
  • Radiology, Nuclear Medicine and Imaging 177
  • Oncology 150
  • Cancer Research 97
  • Immunology 86
Replace Haiqun Xing with:
Haiqun Xing China
Sagi Tshori Israel
Tatsuya Inoue Japan
Marco De Giorgi Italy
Sho Koyasu Japan
Masayuki Nishide Japan
Mariarosaria Panico Italy
Veronica Klepeis United States
Chikako Yamamoto Japan
Ursula Kohlhofer relative to Haiqun Xing China Haiqun Xing's profile →
Citations per field
00.5×4.8×
Haiqun Xing · 1×
Citations per year

Countries citing papers authored by Ursula Kohlhofer

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Kohlhofer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ursula Kohlhofer

This figure shows the co-authorship network connecting the top 25 collaborators of Ursula Kohlhofer. A scholar is included among the top collaborators of Ursula Kohlhofer 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 Ursula Kohlhofer. Ursula Kohlhofer 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 9
2 9
3 2
4 4
5 15
6 28
7 13
8 19
9 30
10 31
11 18
12 27
13 1
14 12
15 7
16 15
17 6
18 29
19 16
20 126

About Ursula Kohlhofer

Ursula Kohlhofer is a scholar working on Nephrology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 30 papers that have together received 663 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (177 citations), Cancer Research (97 citations) and Nephrology (43 citations). Ursula Kohlhofer has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Leticia Quintanilla-Martı́nez, Bernd J. Pichler, Manfred Kneilling, Gerald Reischl, Stefan Wiehr, Julia G. Mannheim, Jonathan A. Disselhorst, Kerstin Fuchs, Jakob Voelkl and Florian Läng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

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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