Norbert Volkmar
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
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- Ubiquitin and proteasome pathways
- RNA and protein synthesis mechanisms
- Mitochondrial Function and Pathology
Papers in
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- Lipid metabolism and biosynthesis 2
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- Endoplasmic Reticulum Stress and Disease 6
- Co-authors
- John C. ChristiansonRamanujan S. HegdeAlina GunaPaul J. LehnerDick J. H. van den BoomenBenedikt M. KesslerJames A. NathanSam A. Menzies
- Journals
- Journal of Cell Science (3 papers)Nature Communications (2 papers)Current Opinion in Cell Biology (1 paper)The EMBO Journal (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Norbert Volkmar
13 papers receiving 713 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Cell Biology 246
- Molecular Biology 525
- Aging 10
- Cancer Research 85
- Biochemistry 33
Countries citing papers authored by Norbert Volkmar
This map shows the geographic impact of Norbert Volkmar'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 Norbert Volkmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norbert Volkmar more than expected).
Fields of papers citing papers by Norbert Volkmar
This network shows the impact of papers produced by Norbert Volkmar. 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 Norbert Volkmar. The network helps show where Norbert Volkmar may publish in the future.
Co-authors
The 25 scholars most cited alongside Norbert Volkmar, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | Comprehensive Overview of Bottom-Up Proteomics Using Mass Spectrometry Hit paper breakdown → | 2024 | 56 |
| 4 | 2023 | 14 | |
| 5 | 2022 | 14 | |
| 6 | 2020 | 32 | |
| 7 | 2020 | 41 | |
| 8 | 2018 | 76 | |
| 9 | 2018 | 80 | |
| 10 | 2017 | 217 | |
| 11 | 2017 | 47 | |
| 12 | 2016 | 121 | |
| 13 | 2016 | 9 | |
| 14 | 2013 | 9 |
About Norbert Volkmar
Norbert Volkmar is a scholar working on Biochemistry, Cell Biology, Molecular Biology, Parasitology and Cancer Research, having authored 14 papers that have together received 719 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (6 papers), Ubiquitin and proteasome pathways (4 papers), Cholesterol and Lipid Metabolism (3 papers), CRISPR and Genetic Engineering (2 papers), Mitochondrial Function and Pathology (2 papers), Lipid Membrane Structure and Behavior (2 papers), Lipid metabolism and biosynthesis (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cell Biology (246 citations), Molecular Biology (525 citations), Aging (10 citations), Cancer Research (85 citations) and Biochemistry (33 citations). Norbert Volkmar has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include John C. Christianson, Ramanujan S. Hegde, Alina Guna, Paul J. Lehner, Dick J. H. van den Boomen, Benedikt M. Kessler, James A. Nathan, Sam A. Menzies, Richard T. Timms and Szymon Juszkiewicz. Their work appears in journals such as Journal of Cell Science, Nature Communications, Current Opinion in Cell Biology, The EMBO Journal and Nature Cell Biology.
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.