Julia Petschnigg
Impact in
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis
- Aging top 10%
Papers in
-
- Bioinformatics and Genomic Networks 7
- Fungal and yeast genetics research 3
- Microbial Metabolic Engineering and Bioproduction 3
- Receptor Mechanisms and Signaling 2
-
- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Sepp D. Kohlwein (6 shared papers)Klaus Natter (5 shared papers)Christoph F. Kurat (5 shared papers)Heimo Wolinski (4 shared papers)Igor Štagljar (8 shared papers)Regina Leber (2 shared papers)Robert Zimmermann (2 shared papers)Brenda Andrews (2 shared papers)
- Journals
- Nature Methods (2 papers)Journal of Biological Chemistry (2 papers)Molecular Cell (1 paper)Biochemical and Biophysical Research Communications (1 paper)Nature Communications (1 paper)
- Partner nations
- CanadaAustriaUnited Kingdom
In The Last Decade
Julia Petschnigg
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Biochemistry 501
- Aging 25
- Cell Biology 225
- Molecular Biology 938
- Physiology 124
Countries citing papers authored by Julia Petschnigg
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 265 | |
| 2 | 2009 | 196 | |
| 3 | 2009 | 176 | |
| 4 | 2014 | 117 | |
| 5 | 2014 | 115 | |
| 6 | 2005 | 59 | |
| 7 | 2015 | 53 | |
| 8 | 2010 | 41 | |
| 9 | 2019 | 34 | |
| 10 | 2009 | 31 | |
| 11 | 2014 | 27 | |
| 12 | 2007 | 21 | |
| 13 | 2016 | 19 | |
| 14 | 2011 | 16 | |
| 15 | 2011 | 14 | |
| 16 | 2017 | 14 | |
| 17 | 2014 | 13 | |
| 18 | 2021 | 9 | |
| 19 | 2003 | 5 | |
| 20 | 2017 | 1 |
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 (7 papers), Lipid metabolism and biosynthesis (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Fungal and yeast genetics research (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Receptor Mechanisms and Signaling (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Biochemistry (501 citations), Aging (25 citations), Cell Biology (225 citations), Molecular Biology (938 citations) and Physiology (124 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, Regina Leber, Robert Zimmermann, Brenda Andrews, Rudolf Zechner and Günther Zellnig. Their work appears in journals such as Nature Methods, Journal of Biological Chemistry, Molecular Cell, Biochemical and Biophysical Research Communications and Nature Communications.
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.