Pascal Peschard
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
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- Ubiquitin and proteasome pathways 6
- PI3K/AKT/mTOR signaling in cancer 4
- Glycosylation and Glycoproteins Research 2
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- Liver physiology and pathology 5
- Co-authors
- Morag Park (7 shared papers)Monica A. Naujokas (4 shared papers)M Park (1 shared paper)Lin Tong (4 shared papers)Wallace Y. Langdon (1 shared paper)Louie Lamorte (1 shared paper)Hamid Band (1 shared paper)Tanya M. Fournier (1 shared paper)
- Journals
- Oncogene (2 papers)Journal of Cell Science (2 papers)Journal of Biological Chemistry (2 papers)Molecular Cell (2 papers)Cell stem cell (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Pascal Peschard
16 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 74
- Hepatology 431
- Cell Biology 259
- Molecular Biology 983
- Oncology 351
- Pathology and Forensic Medicine 138
Countries citing papers authored by Pascal Peschard
This map shows the geographic impact of Pascal Peschard'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 Pascal Peschard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Peschard more than expected).
Fields of papers citing papers by Pascal Peschard
This network shows the impact of papers produced by Pascal Peschard. 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 Pascal Peschard. The network helps show where Pascal Peschard may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Peschard, 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 | 2001 | 366 | |
| 2 | 2003 | 197 | |
| 3 | 2005 | 161 | |
| 4 | 2007 | 145 | |
| 5 | 2007 | 100 | |
| 6 | 2004 | 99 | |
| 7 | 2004 | 65 | |
| 8 | 2012 | 63 | |
| 9 | 2013 | 44 | |
| 10 | 2019 | 44 | |
| 11 | 2007 | 35 | |
| 12 | 2007 | 35 | |
| 13 | 2019 | 28 | |
| 14 | 2012 | 28 | |
| 15 | Regulation of gli activity by all-trans retinoic acid in mouse keratinocytes. | 2000 | 25 |
| 16 | 2012 | 15 |
About Pascal Peschard
Pascal Peschard is a scholar working on Molecular Biology, Hepatology, Cellular and Molecular Neuroscience, Oncology and Cell Biology, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Liver physiology and pathology (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Axon Guidance and Neuronal Signaling (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer-related Molecular Pathways (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Hepatology (431 citations), Cell Biology (259 citations), Molecular Biology (983 citations), Oncology (351 citations) and Pathology and Forensic Medicine (138 citations). Pascal Peschard has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Morag Park, Monica A. Naujokas, M Park, Lin Tong, Wallace Y. Langdon, Louie Lamorte, Hamid Band, Tanya M. Fournier, Caroline Saucier and Sylvie Urbé. Their work appears in journals such as Oncogene, Journal of Cell Science, Journal of Biological Chemistry, Molecular Cell and Cell stem cell.
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.