Marc Pypaert
Impact in
- Cell Biology top 0.1%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Parasitology top 0.2%
Papers in
- Cell Biology 39
- Cellular transport and secretion 33
- Endoplasmic Reticulum Stress and Disease 12
- Microtubule and mitosis dynamics 6
- Parasitology 11
- Toxoplasma gondii Research Studies 9
- Co-authors
- Ira MellmanGerald I. ShulmanLawrence H. YoungChristian MünzJames MuMorris J. BirnbaumDorothee SchmidNathan M. Sherer
- Journals
- The Journal of Cell Biology (19 papers)Proceedings of the National Academy of Sciences (7 papers)Molecular Biology of the Cell (7 papers)Science (5 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Marc Pypaert
85 papers receiving 13.6k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cell Biology 4.1k
- Parasitology 1.2k
- Physiology 639
- Virology 575
- Molecular Biology 7.4k
Countries citing papers authored by Marc Pypaert
This map shows the geographic impact of Marc Pypaert'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 Marc Pypaert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Pypaert more than expected).
Fields of papers citing papers by Marc Pypaert
This network shows the impact of papers produced by Marc Pypaert. 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 Marc Pypaert. The network helps show where Marc Pypaert may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Pypaert, 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 | 2007 | 74 | |
| 2 | 2007 | 353 | |
| 3 | 2007 | 101 | |
| 4 | 2007 | 100 | |
| 5 | 2006 | 96 | |
| 6 | 2006 | 129 | |
| 7 | 2006 | 119 | |
| 8 | 2006 | 118 | |
| 9 | 2006 | 257 | |
| 10 | 2005 | 113 | |
| 11 | 2005 | 102 | |
| 12 | 2004 | 236 | |
| 13 | AMP-activated protein kinase mediates ischemic glucose uptake and prevents postischemic cardiac dysfunction, apoptosis, and injury Hit paper breakdown → | 2004 | 618 |
| 14 | 2004 | 57 | |
| 15 | 2004 | 92 | |
| 16 | 2003 | 183 | |
| 17 | 2003 | 53 | |
| 18 | 2001 | 45 | |
| 19 | 2001 | 32 | |
| 20 | 1997 | 94 |
About Marc Pypaert
Marc Pypaert is a scholar working on Cell Biology, Parasitology, Physiology, Molecular Biology and Biochemistry, having authored 85 papers that have together received 13.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (33 papers), Lipid Membrane Structure and Behavior (13 papers), Endoplasmic Reticulum Stress and Disease (12 papers), Toxoplasma gondii Research Studies (9 papers), Fungal and yeast genetics research (7 papers), Metabolism, Diabetes, and Cancer (7 papers), Microtubule and mitosis dynamics (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Cell Biology (4.1k citations), Parasitology (1.2k citations), Physiology (639 citations), Virology (575 citations) and Molecular Biology (7.4k citations). Marc Pypaert has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ira Mellman, Gerald I. Shulman, Lawrence H. Young, Christian Münz, James Mu, Morris J. Birnbaum, Dorothee Schmid, Nathan M. Sherer, Walther Mothes and Heike Fölsch. Their work appears in journals such as The Journal of Cell Biology, Proceedings of the National Academy of Sciences, Molecular Biology of the Cell, Science and Journal of Biological 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.