Jean Hausser
- Molecular Biology top 0.5%
- Cancer Research top 0.2%
- Ecology top 1%
- Genetics top 1%
- Ecological Modeling top 0.5%
- Co-authors
- Mihaela ZavolanAlexandre H. HirzelDaniel ChesselNicolas PerrinMohsen KhorshidLukas BurgerMarkus StoffelMirko Trajkovski
- Topics
- Genetic diversity and population structure (21 papers)Bat Biology and Ecology Studies (15 papers)MicroRNA in disease regulation (14 papers)
- Partner nations
- SwitzerlandIsraelUnited States
In The Last Decade
Jean Hausser
78 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Molecular Biology 6.1k
- Cancer Research 3.9k
- Ecology 1.4k
- Genetics 1.4k
- Ecological Modeling 1.0k
Countries citing papers authored by Jean Hausser
This map shows the geographic impact of Jean Hausser'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 Jean Hausser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Hausser more than expected).
Fields of papers citing papers by Jean Hausser
This network shows the impact of papers produced by Jean Hausser. 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 Jean Hausser. The network helps show where Jean Hausser may publish in the future.
Co-authorship network of co-authors of Jean Hausser
This figure shows the co-authorship network connecting the top 25 collaborators of Jean Hausser. A scholar is included among the top collaborators of Jean Hausser 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 Jean Hausser. Jean Hausser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | 130 | |
| 5 | 57 | |
| 6 | 52 | |
| 7 | 111 | |
| 8 | 29 | |
| 9 | MicroRNAs 103 and 107 regulate insulin sensitivitybreakdown → | 842 |
| 10 | 65 | |
| 11 | 211 | |
| 12 | miR-375 maintains normal pancreatic α- and β-cell massbreakdown → | 617 |
| 13 | 74 | |
| 14 | Entropy Inference and the James-Stein Estimator | 2 |
| 15 | 5 | |
| 16 | 12 | |
| 17 | 6 | |
| 18 | 27 | |
| 19 | 32 | |
| 20 | Threatened rodents in Europe: species status and some suggestions for conservation strategies | 85 |
About Jean Hausser
Jean Hausser is a scholar working on Cancer Research, Ecological Modeling and Ecology, Evolution, Behavior and Systematics, having authored 79 papers that have together received 9.7k indexed citations. Recurring topics across this work include Genetic diversity and population structure (21 papers), Bat Biology and Ecology Studies (15 papers) and MicroRNA in disease regulation (14 papers). The work is most often cited by research in Cancer Research (3.9k citations), Ecological Modeling (1.0k citations) and Molecular Biology (6.1k citations). Jean Hausser has collaborated with scholars based in Switzerland, Israel and United States. Frequent co-authors include Mihaela Zavolan, Alexandre H. Hirzel, Daniel Chessel, Nicolas Perrin, Mohsen Khorshid, Lukas Burger, Markus Stoffel, Mirko Trajkovski, Markus Landthaler and Philipp Berninger. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.