Stephan Schenck

3.5k citations
14 papers · 797 · h-index 8

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 6
    • Ion channel regulation and function 2
    • Protein Structure and Dynamics 2
    • RNA and protein synthesis mechanisms 2
    • Glycosylation and Glycoproteins Research 1
    • Cellular transport and secretion 6

Stephan Schenck

12 papers receiving 797 citations

Peers

Stephan Schenck
Comparison fields: 5 of 75
  • Sensory Systems 84
  • Cellular and Molecular Neuroscience 242
  • Physiology 47
  • Molecular Biology 637
  • Cell Biology 150
Replace Janine D. Brunner with:
Janine D. Brunner Switzerland
Novandy K. Lim Switzerland
Yvonne Neldner Switzerland
Mattia Malvezzi United States
Seung‐Ryoung Jung United States
Arun Anantharam United States
Shubhashish Mukhopadhyay United Kingdom
Valeria Kalienkova Netherlands
Andy K.M. Lam Switzerland
Mariah R. Baker United States
Stephan Schenck relative to Janine D. Brunner Switzerland Janine D. Brunner's profile →
Citations per field
00.5×1.7×
Janine D. Brunner · 1×
Citations per year

Countries citing papers authored by Stephan Schenck

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Schenck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2014354
2 2017125
3 2009115
4 201658
5 202037
6 202234
7 201730
8 201822
9 20247
10 20196
11 20156
12 20253
13 20250
14 20260

About Stephan Schenck

Stephan Schenck is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Structural Biology and Neurology, having authored 14 papers that have together received 797 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (6 papers), Cellular transport and secretion (6 papers), Ion channel regulation and function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Protein Structure and Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Sensory Systems (84 citations), Cellular and Molecular Neuroscience (242 citations), Physiology (47 citations), Molecular Biology (637 citations) and Cell Biology (150 citations). Stephan Schenck has collaborated with scholars based in Switzerland, Belgium and Germany. Frequent co-authors include Janine D. Brunner, Raimund Dutzler, Novandy K. Lim, Sonja M. Wojcik, Shigeo Takamori, Nils Brose, Yvonne Neldner, Andy K.M. Lam, Cristina Paulino and Valeria Kalienkova. Their work appears in journals such as Nature Communications, eLife, Nature Methods, Cell Reports and Nature Neuroscience.

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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