Joris Guyon
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- Cancer, Hypoxia, and Metabolism
Papers in
- Genetics 15
- Glioma Diagnosis and Treatment 15
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- Forensic Toxicology and Drug Analysis 6
- Co-authors
- Thomas Daubon (13 shared papers)Andréas Bikfalvi (9 shared papers)Lætitia Andrique (3 shared papers)Candice Chapouly (1 shared paper)Gro Vatne Røsland (3 shared papers)Sandy Maumus‐Robert (1 shared paper)Gaëlle Recher (2 shared papers)Amandine Gouverneur (1 shared paper)
- Journals
- Journal of Visualized Experiments (3 papers)EMBO Molecular Medicine (2 papers)Cancers (2 papers)Journal of Hazardous Materials (1 paper)Frontiers in Physiology (1 paper)
- Partner nations
- FranceNorwayLuxembourg
In The Last Decade
Joris Guyon
22 papers receiving 512 citations
Joris Guyon's Hit Papers
Peers
Comparison fields: 5 of 56
- Genetics 215
- Cancer Research 83
- Molecular Biology 144
- Toxicology 10
- Biomaterials 23
Countries citing papers authored by Joris Guyon
This map shows the geographic impact of Joris Guyon'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 Joris Guyon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joris Guyon more than expected).
Fields of papers citing papers by Joris Guyon
This network shows the impact of papers produced by Joris Guyon. 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 Joris Guyon. The network helps show where Joris Guyon may publish in the future.
Co-authors
The 25 scholars most cited alongside Joris Guyon, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | GAP43-dependent mitochondria transfer from astrocytes enhances glioblastoma tumorigenicity Hit paper breakdown → | 2023 | 173 |
| 2 | 2021 | 81 | |
| 3 | 2022 | 59 | |
| 4 | 2021 | 48 | |
| 5 | 2022 | 23 | |
| 6 | 2020 | 19 | |
| 7 | 2021 | 19 | |
| 8 | 2022 | 16 | |
| 9 | 2024 | 16 | |
| 10 | 2022 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2023 | 8 | |
| 14 | 2024 | 5 | |
| 15 | 2020 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 2 |
About Joris Guyon
Joris Guyon is a scholar working on Genetics, Toxicology, Cancer Research, Emergency Medicine and Analytical Chemistry, having authored 28 papers that have together received 518 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (15 papers), Forensic Toxicology and Drug Analysis (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Analytical Methods in Pharmaceuticals (2 papers), Poisoning and overdose treatments (2 papers), Cytomegalovirus and herpesvirus research (1 paper), RNA Research and Splicing (1 paper) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Genetics (215 citations), Cancer Research (83 citations), Molecular Biology (144 citations), Toxicology (10 citations) and Biomaterials (23 citations). Joris Guyon has collaborated with scholars based in France, Norway and Luxembourg. Frequent co-authors include Thomas Daubon, Andréas Bikfalvi, Lætitia Andrique, Candice Chapouly, Gro Vatne Røsland, Sandy Maumus‐Robert, Gaëlle Recher, Amandine Gouverneur, Xavier Bérard and Pernelle Noïze. Their work appears in journals such as Journal of Visualized Experiments, EMBO Molecular Medicine, Cancers, Journal of Hazardous Materials and Frontiers in Physiology.
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.