Pierre Fafournoux
- Molecular Biology top 2%
- Cell Biology top 0.5%
- Physiology top 2%
- Epidemiology top 2%
- Surgery top 5%
- Co-authors
- Alain BruhatCéline JousseAnne‐Catherine MaurinJacques PouysségurLaurent ParryChristian RémésyChristian DemignéJulien Avérous
- Topics
- Endoplasmic Reticulum Stress and Disease (34 papers)Adipose Tissue and Metabolism (18 papers)RNA regulation and disease (16 papers)
- Cited by
- Cell BiologyBiochemistryAging
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- FranceUnited StatesMorocco
In The Last Decade
Pierre Fafournoux
92 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 3.2k
- Cell Biology 2.0k
- Physiology 1.1k
- Epidemiology 993
- Surgery 646
Countries citing papers authored by Pierre Fafournoux
This map shows the geographic impact of Pierre Fafournoux'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 Pierre Fafournoux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Fafournoux more than expected).
Fields of papers citing papers by Pierre Fafournoux
This network shows the impact of papers produced by Pierre Fafournoux. 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 Pierre Fafournoux. The network helps show where Pierre Fafournoux may publish in the future.
Co-authorship network of co-authors of Pierre Fafournoux
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Fafournoux. A scholar is included among the top collaborators of Pierre Fafournoux based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pierre Fafournoux. Pierre Fafournoux is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 67 | |
| 8 | 70 | |
| 9 | 1 | |
| 10 | 26 | |
| 11 | 87 | |
| 12 | 12 | |
| 13 | 171 | |
| 14 | 91 | |
| 15 | 66 | |
| 16 | 11 | |
| 17 | 211 | |
| 18 | 58 | |
| 19 | Amino acid limitation regulates CHOP expression through a specific pathway independent of the unfolded protein response | 4 |
| 20 | 38 |
About Pierre Fafournoux
Pierre Fafournoux is a scholar working on Cell Biology, Physiology and Biochemistry, having authored 98 papers that have together received 5.6k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (34 papers), Adipose Tissue and Metabolism (18 papers) and RNA regulation and disease (16 papers). The work is most often cited by research in Cell Biology (2.0k citations), Biochemistry (523 citations) and Aging (94 citations). Pierre Fafournoux has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include Alain Bruhat, Céline Jousse, Anne‐Catherine Maurin, Jacques Pouysségur, Laurent Parry, Christian Rémésy, Christian Demigné, Julien Avérous, Claude Sardet and Valérie Carraro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.