Julia Petschnigg

1.6k citations
20 papers · 1.2k · h-index 15

Impact in

Papers in

    • Bioinformatics and Genomic Networks 8
    • Fungal and yeast genetics research 4
    • Microbial Metabolic Engineering and Bioproduction 3
    • Receptor Mechanisms and Signaling 2
    • Peroxisome Proliferator-Activated Receptors 2
    • Endoplasmic Reticulum Stress and Disease 4

Julia Petschnigg

20 papers receiving 1.2k citations

Peers

Julia Petschnigg
Comparison fields: 5 of 96
  • Biochemistry 503
  • Aging 26
  • Cell Biology 231
  • Molecular Biology 965
  • Biophysics 30
Replace Koji Terayama with:
Koji Terayama Japan
Christoph F. Kurat Canada
Huajin Wang United States
Peter Thul Germany
Leena Karhinen Finland
K. Mihara Japan
Jaeho Jeong South Korea
Annette Scharf Germany
J. Thomas Hannich Switzerland
Tyler H. Heibeck United States
Julia Petschnigg relative to Koji Terayama Japan Koji Terayama's profile →
Citations per field
00.5×1.5×1.8×
Koji Terayama · 1×
Citations per year

Countries citing papers authored by Julia Petschnigg

Since Specialization
Citations

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

Fields of papers citing papers by Julia Petschnigg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2005263
2 2009196
3 2009174
4 2014115
5 2014115
6 200558
7 201553
8 201041
9 201934
10 200931
11 201427
12 200720
13 201619
14 201116
15 201714
16 201413
17 201113
18 20219
19 20035
20 20171

About Julia Petschnigg

Julia Petschnigg is a scholar working on Molecular Biology, Cell Biology, Biochemistry, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Lipid metabolism and biosynthesis (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Fungal and yeast genetics research (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Receptor Mechanisms and Signaling (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Biochemistry (503 citations), Aging (26 citations), Cell Biology (231 citations), Molecular Biology (965 citations) and Biophysics (30 citations). Julia Petschnigg has collaborated with scholars based in Canada, Austria and United Kingdom. Frequent co-authors include Sepp D. Kohlwein, Klaus Natter, Christoph F. Kurat, Heimo Wolinski, Igor Štagljar, Robert Zimmermann, Regina Leber, Brenda Andrews, Rudolf Zechner and Günther Zellnig. Their work appears in journals such as Nature Methods, Journal of Biological Chemistry, Scientific Reports, Proceedings of the National Academy of Sciences and European Journal of Biochemistry.

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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