Ulrike Beyer

852 citations
28 papers · 674 · h-index 10

Impact in

Papers in

    • Infant Health and Development 3
    • Glioma Diagnosis and Treatment 3
    • Virus-based gene therapy research 3

Ulrike Beyer

23 papers receiving 638 citations

Peers

Ulrike Beyer
Comparison fields: 5 of 75
  • Genetics 234
  • Cancer Research 111
  • Endocrine and Autonomic Systems 32
  • Pulmonary and Respiratory Medicine 127
  • Molecular Biology 278
Replace Jinwook Choi with:
Jinwook Choi South Korea
Kouji Isozaki Japan
Pradeep Ramalingam United States
Jiandong Yang China
Ide T Japan
Bryon M. Ellis United States
Yusuke Nakamura United States
Christian E. Isaac United States
Caryn S. Gonsalves United States
Werner Olipitz United States
Ulrike Beyer relative to Jinwook Choi South Korea Jinwook Choi's profile →
Citations per field
00.5×2×4×6.6×
Jinwook Choi · 1×
Citations per year

Countries citing papers authored by Ulrike Beyer

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Beyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015259
2 201190
3 199583
4 201536
5 201632
6 200930
7 200928
8 199724
9 201418
10 201716
11 20219
12 20098
13 19936
14 19935
15 19945
16 20115
17 20145
18 20034
19
SIMULATION BASED DEVELOPMENT OF A CLINCH CONNECTION WITH PLANE SURFACE OF DIE SIDE
20083
20 19922

About Ulrike Beyer

Ulrike Beyer is a scholar working on Pharmacy, Genetics, Oncology, Genetics and Cancer Research, having authored 28 papers that have together received 674 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Cardiac and Coronary Surgery Techniques (4 papers), Glioma Diagnosis and Treatment (3 papers), Virus-based gene therapy research (3 papers), Infant Health and Development (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer Research and Treatments (2 papers) and Reconstructive Surgery and Microvascular Techniques (2 papers). The work is most often cited by research in Genetics (234 citations), Cancer Research (111 citations), Endocrine and Autonomic Systems (32 citations), Pulmonary and Respiratory Medicine (127 citations) and Molecular Biology (278 citations). Ulrike Beyer has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Matthias Dobbelstein, Ute Martha Moll, Klaus K. Geiger, A. Benzing, Torsten Loop, Ewald Moser, Reuven Agami, Andreas Leha, Flaminia Talos and Andreas Hans Scheel. Their work appears in journals such as Acta Neuropathologica, Cell Death and Differentiation, Cell Cycle, Journal of neurosurgery and Anesthesiology.

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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