Peter Zwickl

5.9k citations
38 papers · 4.8k indexed · 2 hit papers · h-index 25

Impact in

  • Cell Biology top 0.5%
    • Endoplasmic Reticulum Stress and Disease
    • Ubiquitin and proteasome pathways
    • Glycosylation and Glycoproteins Research
    • Biochemical and Molecular Research

Papers in

    • Endoplasmic Reticulum Stress and Disease 12
    • Ubiquitin and proteasome pathways 25
    • Glycosylation and Glycoproteins Research 11
    • Biochemical and Molecular Research 5

Peter Zwickl

38 papers receiving 4.7k citations

Hit Papers

The 26S Proteasome: A Molecular Machine Designed for Controlled Proteolysis 1999 · 1.5k citations
1.5k199520262005201550010001.5k

Peers

Peter Zwickl
Comparison fields: 5 of 109
  • Cell Biology 1.3k
  • Molecular Biology 4.3k
  • Oncology 1.5k
  • Structural Biology 46
  • Epidemiology 722
Replace Burkhardt Dahlmann with:
Burkhardt Dahlmann Germany
Alexei F. Kisselev United States
Boris Pfander Germany
Kylie J. Walters United States
Shuya Fukai Japan
Kaoru Sugasawa Japan
Mary Dasso United States
Lars Ditzel Germany
Simon Bekker‐Jensen Denmark
Yanhui Xu China
Peter Zwickl relative to Burkhardt Dahlmann Germany Burkhardt Dahlmann's profile →
Citations per field
00.5×1.5×1.8×
Burkhardt Dahlmann · 1×
Citations per year

Countries citing papers authored by Peter Zwickl

Since Specialization
Citations

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

Fields of papers citing papers by Peter Zwickl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200999
2 200912
3 200738
4 200557
5 20046
6 200415
7 2003181
8 200222
9 199544
10 19951
11 199517
12 199526
13 199451
14 1994169
15 1992195
16 199265
17 199277
18 199168
19 199042
20 198962

About Peter Zwickl

Peter Zwickl is a scholar working on Cell Biology, Molecular Biology, Oncology, Biotechnology and Genetics, having authored 38 papers that have together received 4.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (25 papers), Peptidase Inhibition and Analysis (12 papers), Endoplasmic Reticulum Stress and Disease (12 papers), Glycosylation and Glycoproteins Research (11 papers), Enzyme Structure and Function (8 papers), Biochemical and Molecular Research (5 papers), Bacterial Genetics and Biotechnology (4 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Cell Biology (1.3k citations), Molecular Biology (4.3k citations), Oncology (1.5k citations), Structural Biology (46 citations) and Epidemiology (722 citations). Peter Zwickl has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Wolfgang Baumeister, Dieter Voges, Robert Huber, Daniela Stock, Jan Löwe, Bing K. Jap, Burkhardt Dahlmann, Friedrich Lottspeich, Alfred L. Goldberg and Erika Seemüller. Their work appears in journals such as FEBS Letters, Journal of Structural Biology, Journal of Biological Chemistry, European Journal of Biochemistry and Molecular Cell.

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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