Walter Stelzer

434 citations
12 papers · 349 · h-index 9

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
    • Lipid Membrane Structure and Behavior
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms

Papers in

    • Lipid Membrane Structure and Behavior 5
    • RNA Interference and Gene Delivery 2
    • Protein Structure and Dynamics 2
    • RNA regulation and disease 2
    • Glycosylation and Glycoproteins Research 1
    • Cellular transport and secretion 7
    • Endoplasmic Reticulum Stress and Disease 2

Walter Stelzer

12 papers receiving 347 citations

Peers

Walter Stelzer
Comparison fields: 5 of 54
  • Cell Biology 157
  • Molecular Biology 253
  • Virology 11
  • Physiology 10
  • Microbiology 12
Replace Maria Daniela Garcia-Castillo with:
Maria Daniela Garcia-Castillo United States
Abla Tannous United States
Martina Haug‐Kröper Germany
Sayuri Hara‐Kuge Japan
Zhihe Kuang Australia
Verena Dederer Germany
Jagoree Roy United States
Sergei A. Kuznetsov Germany
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Citations per field
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Maria Daniela Garcia-Castillo · 1×
Citations per year

Countries citing papers authored by Walter Stelzer

Since Specialization
Citations

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

Fields of papers citing papers by Walter Stelzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201491
2 200476
3 200846
4 201844
5 201932
6 202016
7 201610
8 20128
9 20228
10 20237
11 20236
12 20195

About Walter Stelzer

Walter Stelzer is a scholar working on Molecular Biology, Cell Biology, Physiology, Surgery and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 349 indexed citations. Recurring topics across this work include Cellular transport and secretion (7 papers), Lipid Membrane Structure and Behavior (5 papers), Alzheimer's disease research and treatments (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), RNA Interference and Gene Delivery (2 papers), Protein Structure and Dynamics (2 papers), RNA regulation and disease (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cell Biology (157 citations), Molecular Biology (253 citations), Virology (11 citations), Physiology (10 citations) and Microbiology (12 citations). Walter Stelzer has collaborated with scholars based in Germany, Netherlands and Denmark. Frequent co-authors include Dieter Langosch, Marius K. Lemberg, Dönem Avci, Christina Scharnagl, Albert J. R. Heck, Bernhard C. Poschner, Kasper D. Rand, Jennifer Reed, Katrin Weise and Prashant Agrawal. Their work appears in journals such as Biochemistry, iScience, Cell Reports, Scientific Reports and Protein Science.

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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