Fabienne Lampert
- Molecular Biology top 10%
- Cell Biology top 2%
- Plant Science top 10%
- Oncology
- Epidemiology
- Co-authors
- Stefan WestermannKarl MechtlerGabriele LitosAlexander SchleifferMichael MaierMatthias PeterPim J. Huis in ’t VeldNicholas G. Brown
- Topics
- Microtubule and mitosis dynamics (8 papers)Cellular transport and secretion (4 papers)Genomics and Chromatin Dynamics (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsNature Reviews Molecular Cell Biology
- Partner nations
- AustriaSwitzerlandGermany
In The Last Decade
Fabienne Lampert
18 papers receiving 954 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 824
- Cell Biology 559
- Plant Science 225
- Oncology 77
- Epidemiology 50
Countries citing papers authored by Fabienne Lampert
This map shows the geographic impact of Fabienne Lampert'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 Fabienne Lampert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabienne Lampert more than expected).
Fields of papers citing papers by Fabienne Lampert
This network shows the impact of papers produced by Fabienne Lampert. 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 Fabienne Lampert. The network helps show where Fabienne Lampert may publish in the future.
Co-authorship network of co-authors of Fabienne Lampert
This figure shows the co-authorship network connecting the top 25 collaborators of Fabienne Lampert. A scholar is included among the top collaborators of Fabienne Lampert 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 Fabienne Lampert. Fabienne Lampert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 78 | |
| 3 | 7 | |
| 4 | 223 | |
| 5 | 26 | |
| 6 | 26 | |
| 7 | 23 | |
| 8 | 19 | |
| 9 | 77 | |
| 10 | 26 | |
| 11 | 142 | |
| 12 | 64 | |
| 13 | 43 | |
| 14 | 140 | |
| 15 | 26 | |
| 16 | Construction of RNA standards for high-resolution automatic product analysis in quantitative competitive RT-PCR. | 18 |
| 17 | [Therapy of iron deficiency]. | 1 |
| 18 | [Glycogenosis of the liver with galactose utilization disorder and a severe Fanconi syndrome]. | 5 |
About Fabienne Lampert
Fabienne Lampert is a scholar working on Cell Biology, Molecular Biology and Biochemistry, having authored 18 papers that have together received 959 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Cellular transport and secretion (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Cell Biology (559 citations), Molecular Biology (824 citations) and Plant Science (225 citations). Fabienne Lampert has collaborated with scholars based in Austria, Switzerland and Germany. Frequent co-authors include Stefan Westermann, Karl Mechtler, Gabriele Litos, Alexander Schleiffer, Michael Maier, Matthias Peter, Pim J. Huis in ’t Veld, Nicholas G. Brown, Holger Stark and Brenda A. Schulman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Reviews Molecular Cell Biology.
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.