R Kurzbauer

2.8k citations
40 papers · 2.0k indexed · h-index 24

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • Bacterial Genetics and Biotechnology
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Viral Infectious Diseases and Gene Expression in Insects
    • Epigenetics and DNA Methylation

Papers in

R Kurzbauer

40 papers receiving 2.0k citations

Peers

R Kurzbauer
Comparison fields: 5 of 100
  • Genetics 612
  • Molecular Biology 1.4k
  • Cell Biology 253
  • Endocrinology 69
  • Microbiology 64
Replace Michael J. DeVit with:
Michael J. DeVit United States
G. F. Hong United Kingdom
Anamaris M. Colberg‐Poley United States
Yoshio Yamakawa Japan
E. D. Sverdlov Russia
Rosella Mollicone France
Jun Katahira Japan
Katharina Strub Switzerland
James W. Gautsch United States
Jan Černý Czechia
R Kurzbauer relative to Michael J. DeVit United States Michael J. DeVit's profile →
Citations per field
00.5×1.5×2.5×
Michael J. DeVit · 1×
Citations per year

Countries citing papers authored by R Kurzbauer

Since Specialization
Citations

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

Fields of papers citing papers by R Kurzbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20255
3 202116
4 201927
5 201926
6 2016160
7 201648
8 201328
9 200948
10 200775
11 200528
12 19995
13 199911
14 199813
15 199735
16 19961
17 1995103
18 199527
19 199423
20 199337

About R Kurzbauer

R Kurzbauer is a scholar working on Aging, Transplantation, Molecular Biology, Genetics and Cell Biology, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (6 papers), Bacterial Genetics and Biotechnology (5 papers), Ubiquitin and proteasome pathways (5 papers), Cancer-related Molecular Pathways (4 papers), Cancer-related gene regulation (3 papers), Cancer Research and Treatments (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Genetics (612 citations), Molecular Biology (1.4k citations), Cell Biology (253 citations), Endocrinology (69 citations) and Microbiology (64 citations). R Kurzbauer has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Tim Clausen, Michael Ehrmann, Corinna Wilken, Lukas A. Huber, Karina Kitzing, Petra Dörfler, Meinrad Busslinger, Zbyněk Kozmík, G. Schaffner and Andreas Weith. Their work appears in journals such as Cell, Molecular and Cellular Biology, Human Molecular Genetics, Science and eLife.

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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