Stefan Redl

542 citations
13 papers · 353 · h-index 6

Impact in

Papers in

    • Genomics and Chromatin Dynamics 4
    • Advanced biosensing and bioanalysis techniques 2
    • RNA Interference and Gene Delivery 2
    • Planarian Biology and Electrostimulation 2
    • Chromosomal and Genetic Variations 4

Stefan Redl

11 papers receiving 349 citations

Peers

Stefan Redl
Comparison fields: 5 of 46
  • Structural Biology 13
  • Aging 15
  • Molecular Biology 283
  • Biophysics 22
  • Cancer Research 52
Replace J. Brooks Crickard with:
J. Brooks Crickard United States
Karin Schmekel Sweden
Johanna Gassler Austria
Roel Oldenkamp United Kingdom
James Rhodes United Kingdom
Huy Q. Nguyen United States
Rippei Hayashi Australia
Jennifer Grubb United States
Dmitry Nashchekin United Kingdom
Stefan Redl relative to J. Brooks Crickard United States J. Brooks Crickard's profile →
Citations per field
00.5×1.7×
J. Brooks Crickard · 1×
Citations per year

Countries citing papers authored by Stefan Redl

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Redl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2010133
2 201167
3 201865
4 201545
5 201823
6 20238
7 20205
8 20242
9 20122
10 20242
11 20251
12 20250
13 20250

About Stefan Redl

Stefan Redl is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Paleontology and Genetics, having authored 13 papers that have together received 353 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Chromosomal and Genetic Variations (4 papers), Cephalopods and Marine Biology (3 papers), Marine Invertebrate Physiology and Ecology (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Coral and Marine Ecosystems Studies (2 papers), RNA Interference and Gene Delivery (2 papers) and Planarian Biology and Electrostimulation (2 papers). The work is most often cited by research in Structural Biology (13 citations), Aging (15 citations), Molecular Biology (283 citations), Biophysics (22 citations) and Cancer Research (52 citations). Stefan Redl has collaborated with scholars based in Austria, Germany and Netherlands. Frequent co-authors include René F. Ketting, Lucas Kaaij, Eugène Berezikov, Peter Ladurner, Elke F. Roovers, Leonie M. Kamminga, Marjo J. den Broeder, Maartje J. Luteijn, Hsin‐Yi Huang and Falk Butter. Their work appears in journals such as The EMBO Journal, Cell Biology International, eLife, iScience and Development.

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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