Peter Greimel
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
- Molecular Biology top 10%
- Lipid Membrane Structure and Behavior
- Glycosylation and Glycoproteins Research
- Sphingolipid Metabolism and Signaling
Papers in
-
- Lipid Membrane Structure and Behavior 25
- Sphingolipid Metabolism and Signaling 17
- Glycosylation and Glycoproteins Research 7
- Receptor Mechanisms and Signaling 5
- Cell Biology 14
- Cellular transport and secretion 8
- Co-authors
- Toshihide Kobayashi (15 shared papers)Yoshio Hirabayashi (21 shared papers)Arnold Stütz (6 shared papers)Tanja M. Wrodnigg (7 shared papers)Josef Spreitz (2 shared papers)Yukishige Ito (10 shared papers)Françoise Hullin‐Matsuda (6 shared papers)Atsushi Miyawaki (3 shared papers)
In The Last Decade
Peter Greimel
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 110
- Biophysics 79
- Molecular Biology 887
- Cell Biology 183
- Organic Chemistry 327
- Physiology 183
Countries citing papers authored by Peter Greimel
This map shows the geographic impact of Peter Greimel'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 Greimel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Greimel more than expected).
Fields of papers citing papers by Peter Greimel
This network shows the impact of papers produced by Peter Greimel. 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 Greimel. The network helps show where Peter Greimel may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Greimel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 259 | |
| 2 | 2003 | 177 | |
| 3 | 2015 | 92 | |
| 4 | 2014 | 66 | |
| 5 | 2019 | 61 | |
| 6 | 2013 | 45 | |
| 7 | 2013 | 44 | |
| 8 | 2018 | 36 | |
| 9 | 2010 | 33 | |
| 10 | 2012 | 31 | |
| 11 | 2008 | 31 | |
| 12 | 2008 | 31 | |
| 13 | 2011 | 30 | |
| 14 | 2009 | 29 | |
| 15 | 2016 | 29 | |
| 16 | 2019 | 28 | |
| 17 | 2020 | 27 | |
| 18 | 2015 | 25 | |
| 19 | 2022 | 20 | |
| 20 | 2006 | 20 |
About Peter Greimel
Peter Greimel is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Physiology and Surgery, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (25 papers), Sphingolipid Metabolism and Signaling (17 papers), Carbohydrate Chemistry and Synthesis (11 papers), Cellular transport and secretion (8 papers), Lysosomal Storage Disorders Research (8 papers), Glycosylation and Glycoproteins Research (7 papers), Receptor Mechanisms and Signaling (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Biophysics (79 citations), Molecular Biology (887 citations), Cell Biology (183 citations), Organic Chemistry (327 citations) and Physiology (183 citations). Peter Greimel has collaborated with scholars based in Japan, France and Austria. Frequent co-authors include Toshihide Kobayashi, Yoshio Hirabayashi, Arnold Stütz, Tanja M. Wrodnigg, Josef Spreitz, Yukishige Ito, Françoise Hullin‐Matsuda, Atsushi Miyawaki, Hideyuki Miyatake and Ryoko Ando. Their work appears in journals such as Scientific Reports, Journal of Biological Chemistry, Journal of Lipid Research, Biochimica et Biophysica Acta (BBA) - Biomembranes and Organic & Biomolecular Chemistry.
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.