Ute Linz

1.1k citations
26 papers · 796 · h-index 11

Impact in

Papers in

Ute Linz

26 papers receiving 751 citations

Peers

Ute Linz
Comparison fields: 5 of 95
  • Radiation 113
  • Nuclear and High Energy Physics 117
  • Cardiology and Cardiovascular Medicine 175
  • Genetics 72
  • Molecular Biology 396
Replace Kenneth A. Frankel with:
Kenneth A. Frankel United States
Scott K. Nagle United States
Alan Kennedy United Kingdom
Jean‐Pierre Martin France
Yuji Oishi Japan
M. van Sande Belgium
Y Kitamura Japan
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T. G. Jones United States
Ute Linz relative to Kenneth A. Frankel United States Kenneth A. Frankel's profile →
Citations per field
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Kenneth A. Frankel · 1×
Citations per year

Countries citing papers authored by Ute Linz

Since Specialization
Citations

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

Fields of papers citing papers by Ute Linz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993271
2 2007100
3 201080
4 197957
5
Ion beams in tumor therapy
199540
6 201639
7 198538
8
Thermocycler temperature variation invalidates PCR results.
199036
9 201230
10
Systematic studies on parameters influencing the performance of the polymerase chain reaction.
199030
11 198813
12 20089
13 20158
14 20088
15
DNA conformation assay: determination of in vitro DNA adduct formation and strand breaks
19886
16 20086
17 19835
18 20144
19 19903
20 19933

About Ute Linz

Ute Linz is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 26 papers that have together received 796 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Radiation Therapy and Dosimetry (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Animal Disease Management and Epidemiology (3 papers), Laser-Plasma Interactions and Diagnostics (3 papers), Medical Imaging Techniques and Applications (2 papers), Virus-based gene therapy research (2 papers) and Particle Accelerators and Free-Electron Lasers (2 papers). The work is most often cited by research in Radiation (113 citations), Nuclear and High Energy Physics (117 citations), Cardiology and Cardiovascular Medicine (175 citations), Genetics (72 citations) and Molecular Biology (396 citations). Ute Linz has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include J. Alonso, G. Stöcklin, Bernadette M. Manning, W. Mortier, Helle Ørding, T. H. Fagerlund, Fergus J. Couch, Katherine E. Keating, Jasmine Healy and K. Berg. Their work appears in journals such as Cancer, Anti-Cancer Drugs, Die Naturwissenschaften, Nature Genetics and Nature reviews. Cancer.

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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