Peter Pimpl
Impact in
- Cell Biology top 0.5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Physiology top 2%
Papers in
- Cell Biology 29
- Cellular transport and secretion 28
- Endoplasmic Reticulum Stress and Disease 4
-
- Lipid Membrane Structure and Behavior 13
- Photosynthetic Processes and Mechanisms 13
- Plant Reproductive Biology 7
- Glycosylation and Glycoproteins Research 2
- Co-authors
- David G. Robinson (15 shared papers)Jürgen Denecke (11 shared papers)Ali Movafeghi (7 shared papers)Stefan Hillmer (8 shared papers)Liwen Jiang (5 shared papers)David Scheuring (6 shared papers)J. Philip Taylor (4 shared papers)Corrado Viotti (4 shared papers)
- Journals
- The Plant Cell (10 papers)The Plant Journal (5 papers)Nature Communications (2 papers)Trends in Plant Science (2 papers)PROTOPLASMA (2 papers)
- Partner nations
- GermanyUnited KingdomChina
In The Last Decade
Peter Pimpl
34 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 87
- Cell Biology 1.3k
- Physiology 172
- Plant Science 1.2k
- Molecular Biology 1.8k
- Biotechnology 172
Countries citing papers authored by Peter Pimpl
This map shows the geographic impact of Peter Pimpl'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 Pimpl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Pimpl more than expected).
Fields of papers citing papers by Peter Pimpl
This network shows the impact of papers produced by Peter Pimpl. 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 Pimpl. The network helps show where Peter Pimpl may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Pimpl, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 302 | |
| 2 | 2013 | 299 | |
| 3 | 2011 | 212 | |
| 4 | 2000 | 170 | |
| 5 | 2001 | 161 | |
| 6 | 2009 | 109 | |
| 7 | 2009 | 107 | |
| 8 | 2003 | 103 | |
| 9 | 2005 | 88 | |
| 10 | 1999 | 82 | |
| 11 | 2001 | 80 | |
| 12 | 2010 | 78 | |
| 13 | 2013 | 75 | |
| 14 | 2001 | 73 | |
| 15 | 2008 | 64 | |
| 16 | 2010 | 62 | |
| 17 | 2016 | 60 | |
| 18 | 2012 | 57 | |
| 19 | 2010 | 54 | |
| 20 | 2012 | 43 |
About Peter Pimpl
Peter Pimpl is a scholar working on Cell Biology, Molecular Biology, Physiology, Physiology and Plant Science, having authored 34 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (28 papers), Lipid Membrane Structure and Behavior (13 papers), Photosynthetic Processes and Mechanisms (13 papers), Plant Reproductive Biology (7 papers), Calcium signaling and nucleotide metabolism (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Lysosomal Storage Disorders Research (4 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cell Biology (1.3k citations), Physiology (172 citations), Plant Science (1.2k citations), Molecular Biology (1.8k citations) and Biotechnology (172 citations). Peter Pimpl has collaborated with scholars based in Germany, United Kingdom and China. Frequent co-authors include David G. Robinson, Jürgen Denecke, Ali Movafeghi, Stefan Hillmer, Liwen Jiang, David Scheuring, J. Philip Taylor, Corrado Viotti, Jinbo Shen and Xiaoqiang Yao. Their work appears in journals such as The Plant Cell, The Plant Journal, Nature Communications, Trends in Plant Science and PROTOPLASMA.
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.