Stefan Rüegger

1.3k citations
8 papers · 1.1k · h-index 8

Impact in

Papers in

    • CRISPR and Genetic Engineering 3
    • Protein Structure and Dynamics 3
    • RNA modifications and cancer 2
    • RNA Research and Splicing 2
    • Genetics, Aging, and Longevity in Model Organisms 3

Stefan Rüegger

8 papers receiving 1.1k citations

Peers

Stefan Rüegger
Comparison fields: 5 of 92
  • Aging 38
  • Structural Biology 23
  • Cancer Research 195
  • Molecular Biology 924
  • Biophysics 70
Replace Chung‐Tien Lee with:
Chung‐Tien Lee Germany
Shana Elbaum‐Garfinkle United States
Avi J. Samelson United States
Liangqi Xie United States
Jacob Stewart-Ornstein United States
Didem Vardar‐Ulu United States
Yasuyuki Kato‐Yamada Japan
Anne‐Cécile Déclais United Kingdom
Gregory L. Dignon United States
Eden Fussner Canada
Stefan Rüegger relative to Chung‐Tien Lee Germany Chung‐Tien Lee's profile →
Citations per field
00.5×1.5×2.2×
Chung‐Tien Lee · 1×
Citations per year

Countries citing papers authored by Stefan Rüegger

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Rüegger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Stefan Rüegger, 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 Stefan Rüegger Line = papers co-authored together Stefan Rüegger links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2010442
2 2012212
3 2009200
4 2011137
5 201342
6 201428
7 201425
8 201522

About Stefan Rüegger

Stefan Rüegger is a scholar working on Molecular Biology, Aging, Cancer Research, Materials Chemistry and Spectroscopy, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Enzyme Structure and Function (3 papers), CRISPR and Genetic Engineering (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Protein Structure and Dynamics (3 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Aging (38 citations), Structural Biology (23 citations), Cancer Research (195 citations), Molecular Biology (924 citations) and Biophysics (70 citations). Stefan Rüegger has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Helge Großhans, Benjamin Schuler, Daniel Nettels, Luc Reymond, Hagen Hofmann, Andrea Soranno, Verena Hirschfeld, Takashi Miki, Robert B. Best and Jan Kubelka. Their work appears in journals such as Nucleic Acids Research, Molecular Cell, Proceedings of the National Academy of Sciences, Trends in Biochemical Sciences and Biophysical Journal.

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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