Philippe Guédat
Impact in
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Histone Deacetylase Inhibitors Research
- DNA and Nucleic Acid Chemistry
- Lipid Membrane Structure and Behavior
- Organic Chemistry top 10%
- Surfactants and Colloidal Systems
Papers in
-
- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Frédéric CollandAnthony J. KirbyPatrick CamilleriChristèle PerrinAndreas KremerJean‐Christophe RainXavier JacqMarcel C. P. van Eijk
- Journals
- Tetrahedron Letters (2 papers)Chemical Communications (2 papers)Molecular Cancer Therapeutics (1 paper)SLAS DISCOVERY (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- FranceUnited KingdomNetherlands
In The Last Decade
Philippe Guédat
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 811
- Organic Chemistry 315
- Oncology 211
- Physical and Theoretical Chemistry 56
- Cell Biology 99
Countries citing papers authored by Philippe Guédat
This map shows the geographic impact of Philippe Guédat'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 Philippe Guédat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Guédat more than expected).
Fields of papers citing papers by Philippe Guédat
This network shows the impact of papers produced by Philippe Guédat. 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 Philippe Guédat. The network helps show where Philippe Guédat may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Guédat, 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 | 2023 | 4 | |
| 2 | 2022 | 23 | |
| 3 | 2019 | 24 | |
| 4 | 2017 | 49 | |
| 5 | 2010 | 97 | |
| 6 | 2010 | 1 | |
| 7 | 2009 | 275 | |
| 8 | 2007 | 63 | |
| 9 | 2003 | 378 | |
| 10 | 2003 | 17 | |
| 11 | 2002 | 13 | |
| 12 | 2001 | 56 | |
| 13 | 1999 | 16 | |
| 14 | 1998 | 32 | |
| 15 | 1997 | 14 | |
| 16 | 1997 | 3 | |
| 17 | 1996 | 6 | |
| 18 | 1995 | 9 | |
| 19 | 1994 | 12 |
About Philippe Guédat
Philippe Guédat is a scholar working on Physiology, Cell Biology, Organic Chemistry, Molecular Biology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Ubiquitin and proteasome pathways (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), DNA and Nucleic Acid Chemistry (3 papers), RNA Interference and Gene Delivery (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Molecular Biology (811 citations), Organic Chemistry (315 citations), Oncology (211 citations), Physical and Theoretical Chemistry (56 citations) and Cell Biology (99 citations). Philippe Guédat has collaborated with scholars based in France, United Kingdom and Netherlands. Frequent co-authors include Frédéric Colland, Anthony J. Kirby, Patrick Camilleri, Christèle Perrin, Andreas Kremer, Jean‐Christophe Rain, Xavier Jacq, Marcel C. P. van Eijk, Cristina Rodríguez and Olle Söderman. Their work appears in journals such as Tetrahedron Letters, Chemical Communications, Molecular Cancer Therapeutics, SLAS DISCOVERY and Human Molecular Genetics.
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.