Ralf Ruediger

1.4k citations
18 papers · 1.2k · h-index 16

Impact in

    • Ubiquitin and proteasome pathways
    • Protein Kinase Regulation and GTPase Signaling
    • Protein Tyrosine Phosphatases
    • PI3K/AKT/mTOR signaling in cancer
  • Oncology top 10%
    • Polyomavirus and related diseases
    • Cancer-related Molecular Pathways

Papers in

    • Ubiquitin and proteasome pathways 5
    • Protein Kinase Regulation and GTPase Signaling 5
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Protein Tyrosine Phosphatases 3
    • Virus-based gene therapy research 4
    • Animal Genetics and Reproduction 2

Ralf Ruediger

18 papers receiving 1.2k citations

Peers

Ralf Ruediger
Comparison fields: 5 of 71
  • Molecular Biology 967
  • Oncology 354
  • Cell Biology 202
  • Genetics 154
  • Virology 22
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Citations per field
00.5×1.5×
Seth J. Goldenberg · 1×
Citations per year

Countries citing papers authored by Ralf Ruediger

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Ruediger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Ralf Ruediger, 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 Ralf Ruediger Line = papers co-authored together Ralf Ruediger links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1990195
2 2001127
3 1992118
4 1994117
5 2001108
6 201185
7 199178
8 200369
9 200268
10 200152
11 199151
12 199244
13 199742
14 199940
15 201230
16 200719
17 19971
18 20071

About Ralf Ruediger

Ralf Ruediger is a scholar working on Molecular Biology, Genetics, Oncology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Virus-based gene therapy research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Protein Tyrosine Phosphatases (3 papers), Animal Genetics and Reproduction (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Molecular Biology (967 citations), Oncology (354 citations), Cell Biology (202 citations), Genetics (154 citations) and Virology (22 citations). Ralf Ruediger has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Gernot Walter, Marc C. Mumby, Huong T. Pham, Clive A. Slaughter, Göran Magnusson, Anders Bergqvist, Jin Zhou, Neil Brewis, J. Thomas Cribbs and Ruben K. Dagda. Their work appears in journals such as Molecular and Cellular Biology, Journal of Virology, Oncogene, Analytical Biochemistry and Virology.

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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