Guylaine Hoffner
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Neurology top 10%
- Cell Biology
- Pulmonary and Respiratory Medicine
- Co-authors
- Philippe DjianPascal KahlemMarie‐Laure IslandChristophe SandtShiro IuchiPhilippe VerbekeSylvie SouèsPaul Dumas
- Topics
- Genetic Neurodegenerative Diseases (16 papers)Neurological disorders and treatments (8 papers)Mitochondrial Function and Pathology (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryAnalytical Chemistry
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Guylaine Hoffner
18 papers receiving 556 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 389
- Cellular and Molecular Neuroscience 346
- Neurology 167
- Cell Biology 90
- Pulmonary and Respiratory Medicine 72
Countries citing papers authored by Guylaine Hoffner
This map shows the geographic impact of Guylaine Hoffner'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 Guylaine Hoffner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guylaine Hoffner more than expected).
Fields of papers citing papers by Guylaine Hoffner
This network shows the impact of papers produced by Guylaine Hoffner. 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 Guylaine Hoffner. The network helps show where Guylaine Hoffner may publish in the future.
Co-authorship network of co-authors of Guylaine Hoffner
This figure shows the co-authorship network connecting the top 25 collaborators of Guylaine Hoffner. A scholar is included among the top collaborators of Guylaine Hoffner 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 Guylaine Hoffner. Guylaine Hoffner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 49 | |
| 8 | 36 | |
| 9 | 40 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 36 | |
| 13 | 9 | |
| 14 | 26 | |
| 15 | 7 | |
| 16 | 67 | |
| 17 | 27 | |
| 18 | 51 | |
| 19 | 46 | |
| 20 | 131 |
About Guylaine Hoffner
Guylaine Hoffner is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology, having authored 20 papers that have together received 568 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (16 papers), Neurological disorders and treatments (8 papers) and Mitochondrial Function and Pathology (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (346 citations), Neurology (167 citations) and Molecular Biology (389 citations). Guylaine Hoffner has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Philippe Djian, Pascal Kahlem, Marie‐Laure Island, Christophe Sandt, Shiro Iuchi, Philippe Verbeke, Sylvie Souès, Paul Dumas, Anne Bertolotti and Rieko Kojima. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical 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.