Franc Pattus
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Genetics
- Animal Science and Zoology top 10%
- Co-authors
- Renaud WagnerDominique MassotteChristoph ReinhartNicolás AndréThierry MagninLaura StanasilaGabrielle Zeder‐LutzHartmut Michel
- Topics
- Receptor Mechanisms and Signaling (12 papers)Viral Infectious Diseases and Gene Expression in Insects (5 papers)Neuropeptides and Animal Physiology (5 papers)
- Cited by
- Cellular and Molecular NeuroscienceMolecular BiologyRadiology, Nuclear Medicine and Imaging
- Journals
- Journal of Biological ChemistryApplied and Environmental MicrobiologyAnalytical Biochemistry
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Franc Pattus
17 papers receiving 585 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 544
- Cellular and Molecular Neuroscience 239
- Radiology, Nuclear Medicine and Imaging 122
- Genetics 64
- Animal Science and Zoology 52
Countries citing papers authored by Franc Pattus
This map shows the geographic impact of Franc Pattus'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 Franc Pattus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franc Pattus more than expected).
Fields of papers citing papers by Franc Pattus
This network shows the impact of papers produced by Franc Pattus. 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 Franc Pattus. The network helps show where Franc Pattus may publish in the future.
Co-authorship network of co-authors of Franc Pattus
This figure shows the co-authorship network connecting the top 25 collaborators of Franc Pattus. A scholar is included among the top collaborators of Franc Pattus 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 Franc Pattus. Franc Pattus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 12 | |
| 3 | 7 | |
| 4 | 28 | |
| 5 | 29 | |
| 6 | 137 | |
| 7 | 99 | |
| 8 | 8 | |
| 9 | 47 | |
| 10 | 37 | |
| 11 | 21 | |
| 12 | 42 | |
| 13 | 26 | |
| 14 | 32 | |
| 15 | 15 | |
| 16 | 26 | |
| 17 | 32 |
About Franc Pattus
Franc Pattus is a scholar working on Cellular and Molecular Neuroscience, Animal Science and Zoology and Molecular Biology, having authored 17 papers that have together received 604 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (239 citations), Molecular Biology (544 citations) and Radiology, Nuclear Medicine and Imaging (122 citations). Franc Pattus has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Renaud Wagner, Dominique Massotte, Christoph Reinhart, Nicolás André, Thierry Magnin, Laura Stanasila, Gabrielle Zeder‐Lutz, Hartmut Michel, Brigitte L. Kieffer and Kenneth Lundström. Their work appears in journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology and Analytical Biochemistry.
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.