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 28
- Cellular transport and secretion 27
- Endoplasmic Reticulum Stress and Disease 4
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- Calcium signaling and nucleotide metabolism 5
- Lysosomal Storage Disorders Research 4
- Co-authors
- David G. Robinson (14 shared papers)Jürgen Denecke (10 shared papers)Ali Movafeghi (6 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)PROTOPLASMA (2 papers)Trends in Plant Science (2 papers)
- Partner nations
- GermanyUnited KingdomHong Kong
In The Last Decade
Peter Pimpl
33 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 85
- Cell Biology 1.2k
- Physiology 166
- Plant Science 1.2k
- Molecular Biology 1.8k
- Biotechnology 166
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 294 | |
| 2 | 2013 | 290 | |
| 3 | 2011 | 203 | |
| 4 | 2000 | 168 | |
| 5 | 2001 | 154 | |
| 6 | 2009 | 103 | |
| 7 | 2009 | 103 | |
| 8 | 2003 | 100 | |
| 9 | 2005 | 87 | |
| 10 | 1999 | 80 | |
| 11 | 2001 | 75 | |
| 12 | 2010 | 74 | |
| 13 | 2013 | 73 | |
| 14 | 2001 | 69 | |
| 15 | 2008 | 61 | |
| 16 | 2010 | 59 | |
| 17 | 2016 | 59 | |
| 18 | 2012 | 55 | |
| 19 | 2010 | 52 | |
| 20 | 2012 | 39 |
About Peter Pimpl
Peter Pimpl is a scholar working on Cell Biology, Physiology, Structural Biology, Molecular Biology and Biotechnology, having authored 33 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (27 papers), Photosynthetic Processes and Mechanisms (13 papers), Lipid Membrane Structure and Behavior (12 papers), Plant Reproductive Biology (7 papers), Calcium signaling and nucleotide metabolism (5 papers), Lysosomal Storage Disorders Research (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Cell Biology (1.2k citations), Physiology (166 citations), Plant Science (1.2k citations), Molecular Biology (1.8k citations) and Biotechnology (166 citations). Peter Pimpl has collaborated with scholars based in Germany, United Kingdom and Hong Kong. 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 Lei Sun. Their work appears in journals such as The Plant Cell, The Plant Journal, Nature Communications, PROTOPLASMA and Trends in Plant Science.
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.